smartFactory_LG_AI_hackathon_Yumin (4).ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "LG AI hackathon Smart Factory\n",
        "[대회 링크](https://dacon.io/competitions/official/236055/overview/description)"
      ],
      "metadata": {
        "id": "7Nq-Y7oIvUIC"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Data Description\n",
        "\n",
        "**1. train.csv [파일]**\n",
        "- PRODUCT_ID : 제품의 고유 ID\n",
        "- Y_Class : 제품 품질 상태(Target) \n",
        "    - 0 : 적정 기준 미달 (부적합)\n",
        "    - 1 : 적합\n",
        "    - 2 : 적정 기준 초과 (부적합)\n",
        "- Y_Quality : 제품 품질 관련 정량적 수치\n",
        "- TIMESTAMP : 제품이 공정에 들어간 시각\n",
        "- LINE : 제품이 들어간 공정 LINE 종류 ('T050304', 'T050307', 'T100304', 'T100306', 'T010306', 'T010305' 존재)\n",
        "- PRODUCT_CODE : 제품의 CODE 번호 ('A_31', 'T_31', 'O_31' 존재)\n",
        "- X_1 ~ X_2875 : 공정 과정에서 추출되어 비식별화된 변수\n",
        "- 06.13.2022~09.08.2022 DATA\n",
        "\n",
        "\n",
        "\n",
        "**2. test.csv [파일]**\n",
        "- PRODUCT_ID : 제품의 고유 ID\n",
        "- TIMESTAMP : 제품이 공정에 들어간 시각\n",
        "- LINE : 제품이 들어간 공정 LINE 종류 ('T050304', 'T050307', 'T100304', 'T100306', 'T010306', 'T010305' 존재)\n",
        "- PRODUCT_CODE : 제품의 CODE 번호 ('A_31', 'T_31', 'O_31' 존재)\n",
        "- X_1 ~ X_2875 : 공정 과정에서 추출되어 비식별화된 변수\n",
        "- 09.09.2022~11.05.2022 DATA \n",
        "\n",
        "**3. sample_submission.csv [파일] - 제출 양식**\n",
        "- PRODUCT_ID : 제품의 고유 ID\n",
        "- Y_Class : 예측한 제품 품질 상태\n",
        "    - 0 : 적정 기준 미달 (부적합)\n",
        "    - 1 : 적합\n",
        "    - 2 : 적정 기준 초과 (부적합)\n",
        "\n",
        "- 실제 공정 과정에서의 데이터로, 보안상의 이유로 일부 변수가 비식별화 처리 되었습니다. (X변수)\n",
        "- 'LINE', 'PRODUCT_CODE'는 Train / Test 모두 동일한 종류가 존재합니다."
      ],
      "metadata": {
        "id": "AQlbReiWmbvJ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## DATA LEAKAGE - RULE \n",
        "1. 대표적인 Data Leakage에 해당하는 사례\n",
        "    - Label Encoding 시 Test 데이터로부터 Encoder를 fit 시키는 경우\n",
        "    - Scaler 사용 시 Test 데이터로부터 Scaler를 fit 시키는 경우\n",
        "    Test 데이터에 대한 결측치 보간 시 Test 데이터의 통계 정보(평균, 최빈값 등)를 사용하는 경우\n",
        "    - 파생변수를 생성할 시 2개 이상의 Test 데이터들의 정보를 활용할 경우\n",
        "    - Test 데이터들의 이동 평균을 활용하는 경우\n",
        "    - Test 데이터들을 모델 학습에 활용하는 경우 (이번 해커톤에서는 Pseudo-Labeling도 허용하지 않습니다)\n",
        "    - Test 데이터에 pandas의 get_dummies() 함수를 적용하는 경우\n",
        "        - (=) Test DATA로 Encoder를 fitting 한 것과 같으므로\n",
        "        - ==> Encoder를 Train data로 fitting 한 후, Test data에 Transform (GOOD)  \n",
        "    - Test 데이터의 index 정보 혹은 row 개수 정보를 활용하는 경우\n",
        "    - Test 데이터로부터 EDA를 진행한 결과(인사이트)를 전처리, 모델 학습에 적용하는 경우\n",
        "    - 이 밖의 Test 데이터들의 정보를 모델 학습에 활용하는 모든 경우\n",
        "\n",
        "\n",
        "2. 대표적인 Data Leakage에 해당하지 않는 사례\n",
        "    - 독립적인 샘플(행(row)) 내에서의 모든 연산 혹은 파생 변수 생성\n",
        "        - 예를 들어, Test['C'] = Test['A'] + Test['B']와 같이 독립적인 샘플 내에서 A Column과 B Column을 더한 새로운 파생 변수 C Column을 생성하는 경우\n",
        "    - Train 데이터의 통계 정보를 Test 데이터에 적용하여 전처리하는 경우 혹은 파생 변수를 생성하는 경우\n",
        "    - Test 데이터의 결측치를 Train 데이터의 통계 정보를 바탕으로 보간하는 경우 \n"
      ],
      "metadata": {
        "id": "WcRYcvVrk-xf"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# MODULE IMPORT"
      ],
      "metadata": {
        "id": "7c9x-uVynqst"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import random\n",
        "import os\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt \n",
        "import seaborn as sns\n",
        "\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "\n",
        "# warning message delete \n",
        "import warnings\n",
        "warnings.simplefilter(action=\"ignore\", category=FutureWarning)\n",
        "\n",
        "# google drive mount\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "def seed_everything(seed):\n",
        "    random.seed(seed)\n",
        "    os.environ['PYTHONHASHSEED'] = str(seed)\n",
        "    np.random.seed(seed)\n",
        "\n",
        "seed_everything(37)"
      ],
      "metadata": {
        "id": "N524BAv7ohSr",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9871cdae-9480-48d3-8a70-1e61e88255c0"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 0.Data Load"
      ],
      "metadata": {
        "id": "RYf_ZaTJ9vgg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "train_df = pd.read_csv('/content/drive/MyDrive/train.csv')\n",
        "train_df = train_df.drop(columns=['PRODUCT_ID', 'TIMESTAMP'])"
      ],
      "metadata": {
        "id": "kLBoulM6u2Fb"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_df = pd.read_csv('/content/drive/MyDrive/test.csv')\n",
        "test_df = test_df.drop(columns=['PRODUCT_ID','TIMESTAMP'])"
      ],
      "metadata": {
        "id": "vOExaTnZCvnk"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 1.Pre-processing"
      ],
      "metadata": {
        "id": "f5Kb__mmD7CN"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1.1 EDA\n",
        "1. `Y_Quality` and `X features`: \n",
        "    - NOT high correlation, yet  "
      ],
      "metadata": {
        "id": "iw0f-7TDF9wW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "Xs = train_df.iloc[:,4:].columns\n",
        "null_count = train_df.isnull().sum().to_dict()\n",
        "cols = pd.DataFrame({i for i in null_count if null_count[i]<250 and i in Xs})\n",
        "cols_name = list(cols[0])  # not_all_NAN features name in list "
      ],
      "metadata": {
        "id": "Xteo4cvno0Ys"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# heatmap: `random X features` and `Y_Quality` correlation \n",
        "import random\n",
        "a = ['Y_Quality']\n",
        "\n",
        "for i in range(20):\n",
        "    num = random.randint(1,2875)\n",
        "    a.append(cols_name[i])\n",
        "\n",
        "corr = train_df[a].corr()  # correlation matrix\n",
        "fig, ax = plt.subplots(figsize=(15,10))\n",
        "sns.heatmap(corr, annot=True, fmt='.2f', cmap='Blues', linewidths=2);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 632
        },
        "id": "E1vfXTKcK9Dt",
        "outputId": "3367289e-708e-40c9-e5bc-c3824abf79c2"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x720 with 2 Axes>"
            ],
            "image/png": 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\n"
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          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# UNBALANCED data --> metrics: precision, recall, f1-score \n",
        "sns.countplot(x='Y_Class', data=train_df);"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "Yw54I6dqY1yt",
        "outputId": "9f836a25-902f-4d0a-e631-ea06f9f5d5af"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1.2 Merge & Encoding\n",
        "1. Merge `LINE` & `PRODUCT_CODE` & `Y_Class`columns by JOIN function\n",
        "    - set the joined column name as `line_pcode_class`\n",
        "2. Label encoding \n",
        "    - encode qualitative into quantitative"
      ],
      "metadata": {
        "id": "E9UrfEIwMJ7z"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "train_df['Y_Class'] = train_df['Y_Class'].astype(str)\n",
        "\n",
        "col = ['Y_Class', 'LINE', 'PRODUCT_CODE']\n",
        "train_df['line_pcode_class'] = train_df[col].apply(lambda row: ':'.join(row.values), axis=1)\n",
        "train_df = train_df.drop(columns=['LINE', 'PRODUCT_CODE'])\n",
        "\n",
        "print(train_df['line_pcode_class'].value_counts())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GqgXqn8c12dV",
        "outputId": "4e8e2bbb-0de2-4e1e-b50b-840a100cc11a"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1:T100306:T_31    144\n",
            "1:T100304:T_31    141\n",
            "1:T050304:A_31     37\n",
            "1:T010306:A_31     37\n",
            "1:T010305:A_31     35\n",
            "0:T050304:A_31     30\n",
            "2:T010306:A_31     27\n",
            "2:T050307:A_31     22\n",
            "0:T100304:T_31     17\n",
            "2:T100306:T_31     16\n",
            "2:T100304:T_31     14\n",
            "0:T010305:A_31     13\n",
            "2:T050304:A_31     11\n",
            "2:T010305:A_31     11\n",
            "0:T050307:A_31     11\n",
            "0:T100306:T_31     11\n",
            "1:T050307:A_31      9\n",
            "0:T010306:A_31      6\n",
            "1:T100304:O_31      3\n",
            "2:T100306:O_31      2\n",
            "1:T100306:O_31      1\n",
            "Name: line_pcode_class, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Label Encoding \n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "encoder = LabelEncoder()\n",
        "col = ['line_pcode_class']\n",
        "\n",
        "for i in col:\n",
        "    train_df[i] = encoder.fit_transform(train_df[i])\n",
        "\n",
        "# correlation\n",
        "print(train_df[['Y_Quality', 'line_pcode_class']].corr()) "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wWsCTcAI7gsq",
        "outputId": "40e098e5-66c8-447c-950c-a817c02f47c5"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                  Y_Quality  line_pcode_class\n",
            "Y_Quality          1.000000          0.689504\n",
            "line_pcode_class   0.689504          1.000000\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# line_pcode & Y_Class  \n",
        "# sns.countplot(train_df, col='Y_Class', hue='line_pcode_class');\n",
        "f = sns.FacetGrid(train_df, col=\"Y_Class\")  \n",
        "f.map_dataframe(sns.histplot, x=\"line_pcode_class\", binwidth=0.9);  "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 225
        },
        "id": "BpxzjBdCvxdd",
        "outputId": "f86037f4-e10c-4682-e690-d347e7cce020"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 648x216 with 3 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1.3 Missing Values"
      ],
      "metadata": {
        "id": "qfIq2KqeFZdt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# 1) features that have only 'NaN' without any recorded values \n",
        "## Total 81 features only have 'NaN' \n",
        "miss_dic = train_df.isnull().sum().to_dict()\n",
        "all_NaN = pd.DataFrame({i for i in miss_dic if miss_dic[i]==598})\n",
        "all_NaN_name = list(all_NaN[0])  # all_NaN features name in list \n",
        "print(len(all_NaN_name))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "720154d5-6d42-4a34-a511-ac2f81a7537e",
        "id": "tmQ4DYKrFZdu"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "82\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "all_NaN2 = pd.DataFrame(np.zeros((82,82)), columns=list(all_NaN[0]))\n",
        "\n",
        "for i in all_NaN_name: \n",
        "    train_df[i] = train_df[i].apply(lambda x: 0)\n",
        "train_df.X_2686.isnull().sum()  # e.g. check whether or not it's perfectly fill with ZERO "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f7c05cbb-9fee-4442-de3b-d9e0acf80726",
        "id": "aE5B1BfPFZdu"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "xs = list(train_df.iloc[:, 6:].columns)\n",
        "a = train_df.loc[train_df['line_pcode_class']==1]\n",
        "for i in xs: \n",
        "    m = a.median()    \n",
        "# a.fillna(a.median(), inplace=True)\n",
        " \n",
        "    # a.fillna(a.mean(), inplace=True)\n",
        "median = m.median()"
      ],
      "metadata": {
        "id": "7WMIOGH9UJR_"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "a.fillna(median, inplace=True)\n",
        "a"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 418
        },
        "id": "h2EuZAdDWycU",
        "outputId": "01ef92a2-8e8f-4e52-a29e-ae0c55fa84ce"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Y_Class  Y_Quality        X_1        X_2        X_3        X_4        X_5  \\\n",
              "67        0   0.513135  20.979167  20.979167  20.979167  20.979167  20.979167   \n",
              "68        0   0.517938  20.979167  20.979167  20.979167  20.979167  20.979167   \n",
              "78        0   0.524183  20.979167  20.979167  20.979167  20.979167  20.979167   \n",
              "294       0   0.522121  20.979167  20.979167  20.979167  20.979167  20.979167   \n",
              "333       0   0.524487  20.979167  20.979167  20.979167  20.979167  20.979167   \n",
              "585       0   0.515214  20.979167  20.979167  20.979167  20.979167  20.979167   \n",
              "\n",
              "           X_6        X_7        X_8  ...     X_2867     X_2868     X_2869  \\\n",
              "67   20.979167  20.979167  20.979167  ...  20.979167  20.979167  20.979167   \n",
              "68   20.979167  20.979167  20.979167  ...  20.979167  20.979167  20.979167   \n",
              "78   20.979167  20.979167  20.979167  ...  20.979167  20.979167  20.979167   \n",
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          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 2) replace missing values with MEDIAN \n",
        "## based on 'line_pcode_class'\n",
        "for i in range(21): \n",
        "    a = train_df.loc[train_df['line_pcode_class']==i]\n",
        "    m = train_df.loc[train_df['line_pcode_class']==i].median()\n",
        "    a.fillna(m.median(), inplace=True)\n",
        "\n",
        "# 3) check is there still any missing value in train_df   \n",
        "miss = train_df.isnull().sum().to_dict()\n",
        "print({i for i in miss if miss[i] > 0})   "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "3LOnsLcR-PWL",
        "outputId": "0a18b3cd-b1d7-4908-f26f-3c74304dded2"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "\u001b[1;30;43mStreaming output truncated to the last 5000 lines.\u001b[0m\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
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            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
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            "A value is trying to be set on a copy of a slice from a DataFrame\n",
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            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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            "A value is trying to be set on a copy of a slice from a DataFrame\n",
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            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
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            "A value is trying to be set on a copy of a slice from a DataFrame\n",
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            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py:5176: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return super().fillna(\n"
          ]
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-23-edf43c1ea925>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      4\u001b[0m     \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m21\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m         \u001b[0ma\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtrain_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'line_pcode_class'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m         \u001b[0mm\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtrain_df\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mtrain_df\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'line_pcode_class'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m==\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmedian\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      7\u001b[0m         \u001b[0ma\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfillna\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmedian\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minplace\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mmedian\u001b[0;34m(self, axis, skipna, level, numeric_only, **kwargs)\u001b[0m\n\u001b[1;32m  10800\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskipna\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnumeric_only\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m  10801\u001b[0m         ):\n\u001b[0;32m> 10802\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mNDFrame\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmedian\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskipna\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlevel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnumeric_only\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m  10803\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m  10804\u001b[0m         \u001b[0msetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcls\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"median\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmedian\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
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            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/core/frame.py\u001b[0m in \u001b[0;36m_get_column_array\u001b[0;34m(self, i)\u001b[0m\n\u001b[1;32m   3406\u001b[0m         in the Block)\n\u001b[1;32m   3407\u001b[0m         \"\"\"\n\u001b[0;32m-> 3408\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_mgr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miget_values\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3409\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3410\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_iter_column_arrays\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m->\u001b[0m \u001b[0mIterator\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mArrayLike\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/core/internals/managers.py\u001b[0m in \u001b[0;36miget_values\u001b[0;34m(self, i)\u001b[0m\n\u001b[1;32m    992\u001b[0m         \u001b[0mReturn\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mcolumn\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mthe\u001b[0m \u001b[0mvalues\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mndarray\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mExtensionArray\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    993\u001b[0m         \"\"\"\n\u001b[0;32m--> 994\u001b[0;31m         \u001b[0mblock\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mblocks\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mblknos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    995\u001b[0m         \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mblock\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miget\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mblklocs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    996\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.8/dist-packages/pandas/core/internals/managers.py\u001b[0m in \u001b[0;36mblknos\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    166\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mblocks\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mblknos\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    167\u001b[0m         \"\"\"\n\u001b[0;32m--> 168\u001b[0;31m         \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_blknos\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    169\u001b[0m             \u001b[0;31m# Note: these can be altered by other BlockManager methods.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    170\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_rebuild_blknos_and_blklocs\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1.4 Scaling\n",
        "\n",
        "[outlier Dection: IsolationForest](https://scikit-learn.org/stable/auto_examples/miscellaneous/plot_anomaly_comparison.html)"
      ],
      "metadata": {
        "id": "4038bXsY3ngy"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### 1.4.1 Outliers"
      ],
      "metadata": {
        "id": "3KvQyKbDHavB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "xs = list(train_df.iloc[:, 6:].columns)"
      ],
      "metadata": {
        "id": "Ynke3TMsTBJ_"
      },
      "execution_count": 78,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# outlier (replace 1Q, 3Q with MEDIAN)\n",
        "def outlier(df):\n",
        "    for col in xs: \n",
        "        q1 = train_df[col].quantile(0.25)\n",
        "        q3 = train_df[col].quantile(0.75)\n",
        "        median = train_df[col].quantile(0.50)\n",
        "\n",
        "        train_df[col] = np.where(train_df[col]>q3, median, train_df[col])\n",
        "\n",
        "train_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "nJuv_OqajZze",
        "outputId": "86c062bd-01df-468b-f8d3-496d30f847a4"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Y_Class  Y_Quality   X_1   X_2  X_3   X_4   X_5  X_6   X_7   X_8  ...  \\\n",
              "0         1   0.533433   NaN   NaN  NaN   NaN   NaN  NaN   NaN   NaN  ...   \n",
              "1         2   0.541819   NaN   NaN  NaN   NaN   NaN  NaN   NaN   NaN  ...   \n",
              "2         1   0.531267   NaN   NaN  NaN   NaN   NaN  NaN   NaN   NaN  ...   \n",
              "3         2   0.537325   NaN   NaN  NaN   NaN   NaN  NaN   NaN   NaN  ...   \n",
              "4         1   0.531590   NaN   NaN  NaN   NaN   NaN  NaN   NaN   NaN  ...   \n",
              "..      ...        ...   ...   ...  ...   ...   ...  ...   ...   ...  ...   \n",
              "593       1   0.526546   2.0  95.0  0.0  45.0  10.0  0.0  50.0  10.0  ...   \n",
              "594       0   0.524022   NaN   NaN  NaN   NaN   NaN  NaN   NaN   NaN  ...   \n",
              "595       0   0.521289   NaN   NaN  NaN   NaN   NaN  NaN   NaN   NaN  ...   \n",
              "596       1   0.531375  40.0  94.0  0.0  45.0  11.0  0.0  45.0  10.0  ...   \n",
              "597       1   0.533702  21.0  87.0  0.0  45.0  10.0  0.0  61.0  10.0  ...   \n",
              "\n",
              "     X_2867  X_2868  X_2869  X_2870  X_2871  X_2872  X_2873  X_2874  X_2875  \\\n",
              "0     40.89   32.56   34.09   77.77     NaN       0       0       0       0   \n",
              "1     42.82   43.92   35.34   72.55     NaN       0       0       0       0   \n",
              "2     36.65   42.47   36.53   78.35     NaN       0       0       0       0   \n",
              "3     39.17   52.17   30.58   71.78     NaN       0       0       0       0   \n",
              "4     41.89   46.93   33.09   76.97     NaN       0       0       0       0   \n",
              "..      ...     ...     ...     ...     ...     ...     ...     ...     ...   \n",
              "593     NaN     NaN     NaN     NaN     NaN       0       0       0       0   \n",
              "594   53.07   50.89   55.10   66.49     1.0       0       0       0       0   \n",
              "595     NaN     NaN     NaN     NaN     1.0       0       0       0       0   \n",
              "596     NaN     NaN     NaN     NaN     NaN       0       0       0       0   \n",
              "597     NaN     NaN     NaN     NaN     NaN       0       0       0       0   \n",
              "\n",
              "     line_pcode_class  \n",
              "0                   8  \n",
              "1                  17  \n",
              "2                   8  \n",
              "3                  17  \n",
              "4                   8  \n",
              "..                ...  \n",
              "593                13  \n",
              "594                 2  \n",
              "595                 2  \n",
              "596                10  \n",
              "597                12  \n",
              "\n",
              "[598 rows x 2878 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ec766bf0-bd82-42fd-88d0-54dbfdc36dde\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Y_Class</th>\n",
              "      <th>Y_Quality</th>\n",
              "      <th>X_1</th>\n",
              "      <th>X_2</th>\n",
              "      <th>X_3</th>\n",
              "      <th>X_4</th>\n",
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              "      <th>X_7</th>\n",
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              "      <th>X_2867</th>\n",
              "      <th>X_2868</th>\n",
              "      <th>X_2869</th>\n",
              "      <th>X_2870</th>\n",
              "      <th>X_2871</th>\n",
              "      <th>X_2872</th>\n",
              "      <th>X_2873</th>\n",
              "      <th>X_2874</th>\n",
              "      <th>X_2875</th>\n",
              "      <th>line_pcode_class</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
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              "      <th>0</th>\n",
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              "      <td>0.533433</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>40.89</td>\n",
              "      <td>32.56</td>\n",
              "      <td>34.09</td>\n",
              "      <td>77.77</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>0.541819</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>42.82</td>\n",
              "      <td>43.92</td>\n",
              "      <td>35.34</td>\n",
              "      <td>72.55</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>17</td>\n",
              "    </tr>\n",
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              "      <th>2</th>\n",
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              "      <td>0.531267</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>36.65</td>\n",
              "      <td>42.47</td>\n",
              "      <td>36.53</td>\n",
              "      <td>78.35</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2</td>\n",
              "      <td>0.537325</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>39.17</td>\n",
              "      <td>52.17</td>\n",
              "      <td>30.58</td>\n",
              "      <td>71.78</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0</td>\n",
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              "      <td>0</td>\n",
              "      <td>17</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>...</td>\n",
              "      <td>41.89</td>\n",
              "      <td>46.93</td>\n",
              "      <td>33.09</td>\n",
              "      <td>76.97</td>\n",
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              "      <td>0</td>\n",
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              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
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              "      <td>55.10</td>\n",
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              "      <td>0</td>\n",
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              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>10</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>597</th>\n",
              "      <td>1</td>\n",
              "      <td>0.533702</td>\n",
              "      <td>21.0</td>\n",
              "      <td>87.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>61.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>...</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>12</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>598 rows × 2878 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ec766bf0-bd82-42fd-88d0-54dbfdc36dde')\"\n",
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              "\n",
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              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-ec766bf0-bd82-42fd-88d0-54dbfdc36dde');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "          element.appendChild(docLink);\n",
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              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 56
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "train_df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "fAQulBUxkwNq",
        "outputId": "b6f80603-c8cd-4268-ceae-ccdbd1d78f6c"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        Y_Quality         X_1         X_2    X_3    X_4         X_5    X_6  \\\n",
              "count  598.000000  349.000000  349.000000  349.0  349.0  349.000000  349.0   \n",
              "mean     0.530896    2.409742   95.123209    0.0   45.0   10.392550    0.0   \n",
              "std      0.007401    5.895256    4.107640    0.0    0.0    0.489019    0.0   \n",
              "min      0.500856    1.000000   87.000000    0.0   45.0   10.000000    0.0   \n",
              "25%      0.527535    2.000000   93.000000    0.0   45.0   10.000000    0.0   \n",
              "50%      0.530436    2.000000   95.000000    0.0   45.0   10.000000    0.0   \n",
              "75%      0.533433    2.000000   98.000000    0.0   45.0   11.000000    0.0   \n",
              "max      0.578841  103.000000  102.000000    0.0   45.0   11.000000    0.0   \n",
              "\n",
              "              X_7         X_8         X_9  ...     X_2867      X_2868  \\\n",
              "count  349.000000  349.000000  349.000000  ...  100.00000  100.000000   \n",
              "mean    48.802292   10.048711   41.469914  ...   53.60770   49.606200   \n",
              "std      4.373824    0.215571   10.515032  ...    8.13899    7.158917   \n",
              "min     45.000000   10.000000   31.000000  ...   31.70000   32.560000   \n",
              "25%     45.000000   10.000000   31.000000  ...   52.20000   42.160000   \n",
              "50%     45.000000   10.000000   31.000000  ...   55.92500   51.460000   \n",
              "75%     51.000000   10.000000   52.000000  ...   58.97500   55.030000   \n",
              "max     62.000000   11.000000   52.000000  ...   68.66000   60.410000   \n",
              "\n",
              "           X_2869     X_2870  X_2871  X_2872  X_2873  X_2874  X_2875  \\\n",
              "count  100.000000  100.00000    99.0   598.0   598.0   598.0   598.0   \n",
              "mean    51.659800   66.64970     1.0     0.0     0.0     0.0     0.0   \n",
              "std      8.913065    4.52781     0.0     0.0     0.0     0.0     0.0   \n",
              "min     30.490000   61.67000     1.0     0.0     0.0     0.0     0.0   \n",
              "25%     49.915000   63.64500     1.0     0.0     0.0     0.0     0.0   \n",
              "50%     56.175000   65.14000     1.0     0.0     0.0     0.0     0.0   \n",
              "75%     57.175000   67.11500     1.0     0.0     0.0     0.0     0.0   \n",
              "max     59.930000   79.75000     1.0     0.0     0.0     0.0     0.0   \n",
              "\n",
              "       line_pcode_class  \n",
              "count        598.000000  \n",
              "mean          10.454849  \n",
              "std            4.572564  \n",
              "min            0.000000  \n",
              "25%            7.000000  \n",
              "50%           11.000000  \n",
              "75%           13.000000  \n",
              "max           20.000000  \n",
              "\n",
              "[8 rows x 2877 columns]"
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              "      <th></th>\n",
              "      <th>Y_Quality</th>\n",
              "      <th>X_1</th>\n",
              "      <th>X_2</th>\n",
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              "      <th>X_2871</th>\n",
              "      <th>X_2872</th>\n",
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              "      <td>349.000000</td>\n",
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              "      <td>349.000000</td>\n",
              "      <td>349.000000</td>\n",
              "      <td>349.000000</td>\n",
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              "      <td>2.409742</td>\n",
              "      <td>95.123209</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.392550</td>\n",
              "      <td>0.0</td>\n",
              "      <td>48.802292</td>\n",
              "      <td>10.048711</td>\n",
              "      <td>41.469914</td>\n",
              "      <td>...</td>\n",
              "      <td>53.60770</td>\n",
              "      <td>49.606200</td>\n",
              "      <td>51.659800</td>\n",
              "      <td>66.64970</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10.454849</td>\n",
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              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.007401</td>\n",
              "      <td>5.895256</td>\n",
              "      <td>4.107640</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.489019</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.373824</td>\n",
              "      <td>0.215571</td>\n",
              "      <td>10.515032</td>\n",
              "      <td>...</td>\n",
              "      <td>8.13899</td>\n",
              "      <td>7.158917</td>\n",
              "      <td>8.913065</td>\n",
              "      <td>4.52781</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4.572564</td>\n",
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              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.500856</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>87.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>31.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>31.70000</td>\n",
              "      <td>32.560000</td>\n",
              "      <td>30.490000</td>\n",
              "      <td>61.67000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <th>25%</th>\n",
              "      <td>0.527535</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>93.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>31.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>52.20000</td>\n",
              "      <td>42.160000</td>\n",
              "      <td>49.915000</td>\n",
              "      <td>63.64500</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.000000</td>\n",
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              "      <td>95.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>31.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>55.92500</td>\n",
              "      <td>51.460000</td>\n",
              "      <td>56.175000</td>\n",
              "      <td>65.14000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11.000000</td>\n",
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              "    <tr>\n",
              "      <th>75%</th>\n",
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              "      <td>2.000000</td>\n",
              "      <td>98.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>51.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>52.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>58.97500</td>\n",
              "      <td>55.030000</td>\n",
              "      <td>57.175000</td>\n",
              "      <td>67.11500</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
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              "      <td>102.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>62.000000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>52.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>68.66000</td>\n",
              "      <td>60.410000</td>\n",
              "      <td>59.930000</td>\n",
              "      <td>79.75000</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>20.000000</td>\n",
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              "<p>8 rows × 2877 columns</p>\n",
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              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-06bf6571-0c71-41e7-92fe-acca7a449344 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-06bf6571-0c71-41e7-92fe-acca7a449344');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 1.5 Test_df Preprocessing"
      ],
      "metadata": {
        "id": "AQf-saI4BQyu"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Merge \n",
        "col = ['LINE', 'PRODUCT_CODE']\n",
        "test_df['line_pcode'] = test_df[col].apply(lambda row: ':'.join(row.values), axis=1)\n",
        "test_df = test_df.drop(columns=['LINE', 'PRODUCT_CODE'])\n",
        "\n",
        "# Label Encoding \n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "encoder = LabelEncoder()\n",
        "col = ['line_pcode']\n",
        "\n",
        "for i in col:\n",
        "    test_df[i] = encoder.fit_transform(test_df[i])"
      ],
      "metadata": {
        "id": "nT3nx4o7B085"
      },
      "execution_count": 58,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Missing Values\n",
        "# 1) features that have only 'NaN' without any recorded values \n",
        "## Total 506 features only have 'NaN' \n",
        "miss_dic = test_df.isnull().sum().to_dict()\n",
        "all_nan = pd.DataFrame({i for i in miss_dic if miss_dic[i]==310})\n",
        "all_nan_name = list(all_nan[0])  # all_NaN features name in list \n",
        "\n",
        "for i in all_nan_name: \n",
        "    test_df[i].fillna(0, inplace=True)\n",
        "test_df.X_2277.isnull().sum()  # e.g. check whether or not it's perfectly fill with ZERO "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9a15456b-0a5b-4586-a3b0-6e0bc456c832",
        "id": "9vLY-L_IBQy5"
      },
      "execution_count": 59,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(test_df['line_pcode'].unique())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_7VrI1t3C5tK",
        "outputId": "f5f0def2-f8c0-44a7-a54b-4d46a0d39fce"
      },
      "execution_count": 60,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "8"
            ]
          },
          "metadata": {},
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "len(list(test_df.loc[test_df['line_pcode']==3].columns))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5czWHKOQSbJh",
        "outputId": "d8a16d8c-c6f1-4dd2-8a0c-e433c12f8fac"
      },
      "execution_count": 61,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "2876"
            ]
          },
          "metadata": {},
          "execution_count": 61
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 2) replace missing values with MEDIAN \n",
        "## based on 'line_pcode'\n",
        "\n",
        "for i in range(8): \n",
        "    a = test_df.loc[test_df['line_pcode']==i]\n",
        "    median = test_df.loc[test_df['line_pcode']==i].median()\n",
        "    a.fillna(median, inplace=True)\n",
        "\n",
        "# 3) check is there still any missing value in test_df\n",
        "miss = test_df.isnull().sum().to_dict()\n",
        "print({i for i in miss if miss[i] > 0})  "
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "3fd29815-149d-434d-dfa7-9288ae25b912",
        "id": "NmyUDkD7QETn"
      },
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py:6392: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return self._update_inplace(result)\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py:6392: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return self._update_inplace(result)\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py:6392: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return self._update_inplace(result)\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py:6392: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return self._update_inplace(result)\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py:6392: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return self._update_inplace(result)\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py:6392: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return self._update_inplace(result)\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py:6392: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return self._update_inplace(result)\n",
            "/usr/local/lib/python3.8/dist-packages/pandas/core/generic.py:6392: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  return self._update_inplace(result)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{'X_1552', 'X_395', 'X_2020', 'X_1586', 'X_1602', 'X_2425', 'X_2653', 'X_1466', 'X_332', 'X_641', 'X_405', 'X_1699', 'X_1158', 'X_2519', 'X_1968', 'X_546', 'X_362', 'X_1764', 'X_812', 'X_1585', 'X_453', 'X_1769', 'X_1347', 'X_663', 'X_187', 'X_1667', 'X_1866', 'X_860', 'X_249', 'X_1310', 'X_2664', 'X_2633', 'X_1242', 'X_1365', 'X_443', 'X_2052', 'X_736', 'X_1161', 'X_1029', 'X_626', 'X_1199', 'X_388', 'X_1371', 'X_1915', 'X_566', 'X_2096', 'X_795', 'X_1851', 'X_1218', 'X_857', 'X_739', 'X_2496', 'X_802', 'X_973', 'X_1800', 'X_355', 'X_1717', 'X_2412', 'X_2777', 'X_1522', 'X_2780', 'X_1105', 'X_917', 'X_1244', 'X_2871', 'X_2526', 'X_43', 'X_1840', 'X_1039', 'X_2023', 'X_392', 'X_33', 'X_1765', 'X_1236', 'X_1528', 'X_1798', 'X_2792', 'X_1688', 'X_467', 'X_2658', 'X_2757', 'X_597', 'X_1642', 'X_932', 'X_2472', 'X_128', 'X_406', 'X_1935', 'X_312', 'X_51', 'X_222', 'X_1644', 'X_60', 'X_275', 'X_848', 'X_1248', 'X_1570', 'X_307', 'X_1215', 'X_363', 'X_709', 'X_858', 'X_1260', 'X_338', 'X_24', 'X_1293', 'X_866', 'X_900', 'X_179', 'X_202', 'X_777', 'X_1488', 'X_1423', 'X_536', 'X_667', 'X_508', 'X_1212', 'X_1499', 'X_835', 'X_1289', 'X_1746', 'X_1671', 'X_1692', 'X_2848', 'X_164', 'X_547', 'X_964', 'X_1231', 'X_1036', 'X_194', 'X_1024', 'X_1732', 'X_1620', 'X_2628', 'X_2053', 'X_181', 'X_1116', 'X_1354', 'X_385', 'X_758', 'X_731', 'X_919', 'X_143', 'X_1645', 'X_2841', 'X_1879', 'X_288', 'X_2436', 'X_2761', 'X_2537', 'X_1314', 'X_399', 'X_1306', 'X_1576', 'X_2631', 'X_2788', 'X_22', 'X_136', 'X_1909', 'X_579', 'X_824', 'X_534', 'X_1750', 'X_554', 'X_979', 'X_1414', 'X_430', 'X_1753', 'X_1928', 'X_2819', 'X_2726', 'X_1615', 'X_2473', 'X_550', 'X_721', 'X_1204', 'X_2055', 'X_2054', 'X_485', 'X_955', 'X_264', 'X_1295', 'X_1030', 'X_1727', 'X_2706', 'X_2837', 'X_1413', 'X_1229', 'X_1500', 'X_2441', 'X_350', 'X_841', 'X_1956', 'X_2650', 'X_1077', 'X_1868', 'X_2440', 'X_1265', 'X_2416', 'X_2651', 'X_41', 'X_1307', 'X_459', 'X_1569', 'X_1549', 'X_1254', 'X_1103', 'X_1483', 'X_693', 'X_1708', 'X_132', 'X_248', 'X_2728', 'X_1860', 'X_686', 'X_1454', 'X_314', 'X_821', 'X_496', 'X_1200', 'X_383', 'X_1252', 'X_947', 'X_191', 'X_1041', 'X_28', 'X_799', 'X_1173', 'X_2534', 'X_1480', 'X_2738', 'X_460', 'X_1876', 'X_2874', 'X_1492', 'X_980', 'X_1497', 'X_2656', 'X_1484', 'X_1459', 'X_793', 'X_1125', 'X_2693', 'X_2720', 'X_637', 'X_538', 'X_456', 'X_1179', 'X_953', 'X_1208', 'X_210', 'X_965', 'X_1703', 'X_1235', 'X_1126', 'X_89', 'X_409', 'X_991', 'X_38', 'X_329', 'X_982', 'X_1741', 'X_800', 'X_2413', 'X_516', 'X_79', 'X_1872', 'X_1340', 'X_1721', 'X_2494', 'X_1311', 'X_636', 'X_1504', 'X_2866', 'X_167', 'X_281', 'X_1668', 'X_2535', 'X_56', 'X_335', 'X_320', 'X_2061', 'X_1122', 'X_1792', 'X_1316', 'X_1733', 'X_82', 'X_1155', 'X_707', 'X_251', 'X_1140', 'X_1612', 'X_2645', 'X_1766', 'X_116', 'X_2634', 'X_64', 'X_2730', 'X_364', 'X_1603', 'X_2676', 'X_1783', 'X_235', 'X_337', 'X_14', 'X_1149', 'X_2733', 'X_633', 'X_1192', 'X_2795', 'X_1106', 'X_2484', 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'X_869', 'X_618', 'X_2789', 'X_2684', 'X_208', 'X_913', 'X_367', 'X_552', 'X_1774', 'X_1842', 'X_1495', 'X_353', 'X_874', 'X_159', 'X_1445', 'X_1712', 'X_1299', 'X_1711', 'X_1556', 'X_713', 'X_1328', 'X_1687', 'X_2474', 'X_498', 'X_1342', 'X_715', 'X_489', 'X_967', 'X_2521', 'X_131', 'X_2433', 'X_1720', 'X_1554', 'X_1938', 'X_2798', 'X_1206', 'X_1705', 'X_2510', 'X_1516', 'X_374', 'X_502', 'X_95', 'X_1934', 'X_1264', 'X_786', 'X_620', 'X_747', 'X_1109', 'X_1450', 'X_2468', 'X_2813', 'X_1518', 'X_160', 'X_1468', 'X_558', 'X_238', 'X_1742', 'X_435', 'X_280', 'X_759', 'X_2439', 'X_631', 'X_1618', 'X_2060', 'X_1604', 'X_2753', 'X_1418', 'X_723', 'X_1256', 'X_1865', 'X_2458', 'X_1891', 'X_695', 'X_2499', 'X_1905', 'X_996', 'X_1291', 'X_1847', 'X_2687', 'X_1279', 'X_465', 'X_1654', 'X_1881', 'X_1683', 'X_449', 'X_1493', 'X_774', 'X_1691', 'X_1895', 'X_690', 'X_1213', 'X_1635', 'X_2785', 'X_1718', 'X_734', 'X_1032', 'X_389', 'X_177', 'X_203', 'X_587', 'X_1013', 'X_413', 'X_1474', 'X_35', 'X_263', 'X_237', 'X_732', 'X_1843', 'X_1655', 'X_1550', 'X_935', 'X_2740', 'X_523', 'X_2027', 'X_1345', 'X_373', 'X_1794', 'X_632', 'X_2420', 'X_276', 'X_1447', 'X_1947', 'X_615', 'X_1901', 'X_784', 'X_1597', 'X_797', 'X_1740', 'X_2422', 'X_1319', 'X_611', 'X_368', 'X_126', 'X_950', 'X_2443', 'X_1093', 'X_1391', 'X_1512', 'X_1133', 'X_652', 'X_1189', 'X_2810', 'X_1147', 'X_2784', 'X_2704', 'X_2803', 'X_1374', 'X_146', 'X_1084', 'X_2095', 'X_993', 'X_2417', 'X_1259', 'X_69', 'X_575', 'X_1102', 'X_2513', 'X_1853', 'X_216', 'X_1409', 'X_2500', 'X_215', 'X_927', 'X_1545', 'X_123', 'X_853', 'X_2050', 'X_2524', 'X_352', 'X_839', 'X_279', 'X_27', 'X_244', 'X_90', 'X_455', 'X_490', 'X_727', 'X_871', 'X_1384', 'X_1566', 'X_1824', 'X_2821', 'X_1348', 'X_844', 'X_679', 'X_1386', 'X_1540', 'X_324', 'X_1056', 'X_1564', 'X_2755', 'X_649', 'X_1154', 'X_2847', 'X_975', 'X_670', 'X_1416', 'X_1009', 'X_934', 'X_472', 'X_1526', 'X_2737', 'X_1329', 'X_1098', 'X_369', 'X_1357', 'X_1182', 'X_234', 'X_15', 'X_401', 'X_1266', 'X_1151', 'X_1583', 'X_751', 'X_2864', 'X_1007', 'X_1574', 'X_104', 'X_377', 'X_129', 'X_1061', 'X_1696', 'X_1924', 'X_1136', 'X_1005', 'X_344', 'X_1113', 'X_1888', 'X_390', 'X_1787', 'X_1579', 'X_2799', 'X_47', 'X_809', 'X_492', 'X_1735', 'X_101', 'X_96', 'X_2629', 'X_201', 'X_37', 'X_448', 'X_594', 'X_586', 'X_1028', 'X_1309', 'X_418', 'X_1878', 'X_414', 'X_319', 'X_147', 'X_1463', 'X_100', 'X_1758', 'X_570', 'X_394', 'X_93', 'X_1811', 'X_1188', 'X_252', 'X_814', 'X_1715', 'X_1945', 'X_1485', 'X_1555', 'X_462', 'X_1421', 'X_1356', 'X_1581', 'X_2772', 'X_1629', 'X_828', 'X_889', 'X_1066', 'X_2414', 'X_1193', 'X_468', 'X_2415', 'X_328', 'X_278', 'X_301', 'X_2527', 'X_174', 'X_412', 'X_920', 'X_741', 'X_477', 'X_295', 'X_1226', 'X_1412', 'X_78', 'X_1958', 'X_86', 'X_2689', 'X_1778', 'X_246', 'X_2760', 'X_267', 'X_585', 'X_349', 'X_1582', 'X_1633', 'X_1610', 'X_2851', 'X_294', 'X_2830', 'X_255', 'X_1330', 'X_1023', 'X_1607', 'X_2815', 'X_1448', 'X_1019', 'X_746', 'X_1420', 'X_1012', 'X_1536', 'X_1331', 'X_198', 'X_1801', 'X_2844', 'X_52', 'X_581', 'X_1006', 'X_2831', 'X_684', 'X_912', 'X_1210', 'X_1498', 'X_2528', 'X_1083', 'X_1638', 'X_2701', 'X_2026', 'X_1779', 'X_2477', 'X_1249', 'X_826', 'X_1697', 'X_929', 'X_1882', 'X_225', 'X_576', 'X_942', 'X_1469', 'X_1719', 'X_2490', 'X_1417', 'X_109', 'X_1752', 'X_1954', 'X_1613', 'X_2640', 'X_1487', 'X_1198', 'X_974', 'X_2744', 'X_1141', 'X_483', 'X_888', 'X_486', 'X_1072', 'X_61', 'X_417', 'X_1561', 'X_724', 'X_298', 'X_685', 'X_1608', 'X_2805', 'X_1757', 'X_1880', 'X_1960', 'X_1288', 'X_461', 'X_1040', 'X_188', 'X_305', 'X_330', 'X_562', 'X_1606', 'X_524', 'X_577', 'X_1017', 'X_72', 'X_725'}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# outlier (replace 1Q, 3Q with MEDIAN)\n",
        "xs = list(test_df.iloc[:, 6:].columns)\n",
        "def outlier(df):\n",
        "    for col in xs: \n",
        "        q1 = test_df[col].quantile(0.25)\n",
        "        q3 = test_df[col].quantile(0.75)\n",
        "        median = test_df[col].quantile(0.50)\n",
        "\n",
        "        test_df[col] = np.where(test_df[col]>q3, median, test_df[col])\n",
        "\n",
        "test_df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "outputId": "bb4635c3-6cb7-4613-89cb-3ed9ed09533a",
        "id": "skEOybzqBQy6"
      },
      "execution_count": 63,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              X_1         X_2    X_3    X_4         X_5    X_6         X_7  \\\n",
              "count  243.000000  243.000000  243.0  243.0  243.000000  243.0  243.000000   \n",
              "mean     4.337449   94.448560    0.0   45.0   10.271605    0.0   48.485597   \n",
              "std     16.624229    4.062582    0.0    0.0    0.445705    0.0    3.733199   \n",
              "min      1.000000   87.000000    0.0   45.0   10.000000    0.0   45.000000   \n",
              "25%      2.000000   91.000000    0.0   45.0   10.000000    0.0   45.000000   \n",
              "50%      2.000000   95.000000    0.0   45.0   10.000000    0.0   50.000000   \n",
              "75%      2.000000   97.000000    0.0   45.0   11.000000    0.0   51.000000   \n",
              "max    154.000000  102.000000    0.0   45.0   11.000000    0.0   67.000000   \n",
              "\n",
              "              X_8         X_9   X_10  ...     X_2867     X_2868     X_2869  \\\n",
              "count  243.000000  243.000000  243.0  ...  34.000000  34.000000  34.000000   \n",
              "mean    10.012346   42.407407    2.0  ...  53.014706  49.994412  54.202353   \n",
              "std      0.110651   10.482308    0.0  ...   4.431279   6.116252   3.419513   \n",
              "min     10.000000   31.000000    2.0  ...  41.630000  39.850000  47.820000   \n",
              "25%     10.000000   31.000000    2.0  ...  50.095000  43.750000  52.170000   \n",
              "50%     10.000000   52.000000    2.0  ...  53.655000  51.175000  55.605000   \n",
              "75%     10.000000   52.000000    2.0  ...  55.957500  54.097500  56.642500   \n",
              "max     11.000000   52.000000    2.0  ...  60.490000  60.310000  58.290000   \n",
              "\n",
              "          X_2870     X_2871      X_2872      X_2873      X_2874      X_2875  \\\n",
              "count  34.000000  39.000000    9.000000    9.000000    9.000000    9.000000   \n",
              "mean   63.806176   0.974359  247.988889  251.888889  243.300000  228.844444   \n",
              "std     1.924128   0.160128   25.467305   20.078872   35.523689   19.514233   \n",
              "min    60.720000   0.000000  199.000000  214.600000  169.700000  191.900000   \n",
              "25%    62.295000   1.000000  247.100000  253.900000  231.100000  232.800000   \n",
              "50%    63.170000   1.000000  258.700000  257.500000  261.700000  236.300000   \n",
              "75%    65.442500   1.000000  263.400000  261.300000  263.200000  239.700000   \n",
              "max    67.240000   1.000000  268.000000  278.600000  271.400000  245.600000   \n",
              "\n",
              "       line_pcode  \n",
              "count  310.000000  \n",
              "mean     5.138710  \n",
              "std      2.064522  \n",
              "min      0.000000  \n",
              "25%      5.000000  \n",
              "50%      5.000000  \n",
              "75%      7.000000  \n",
              "max      7.000000  \n",
              "\n",
              "[8 rows x 2876 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-ac89a826-6cb9-4a88-a0b8-baf1ef6875b2\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>X_1</th>\n",
              "      <th>X_2</th>\n",
              "      <th>X_3</th>\n",
              "      <th>X_4</th>\n",
              "      <th>X_5</th>\n",
              "      <th>X_6</th>\n",
              "      <th>X_7</th>\n",
              "      <th>X_8</th>\n",
              "      <th>X_9</th>\n",
              "      <th>X_10</th>\n",
              "      <th>...</th>\n",
              "      <th>X_2867</th>\n",
              "      <th>X_2868</th>\n",
              "      <th>X_2869</th>\n",
              "      <th>X_2870</th>\n",
              "      <th>X_2871</th>\n",
              "      <th>X_2872</th>\n",
              "      <th>X_2873</th>\n",
              "      <th>X_2874</th>\n",
              "      <th>X_2875</th>\n",
              "      <th>line_pcode</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>243.000000</td>\n",
              "      <td>243.000000</td>\n",
              "      <td>243.0</td>\n",
              "      <td>243.0</td>\n",
              "      <td>243.000000</td>\n",
              "      <td>243.0</td>\n",
              "      <td>243.000000</td>\n",
              "      <td>243.000000</td>\n",
              "      <td>243.000000</td>\n",
              "      <td>243.0</td>\n",
              "      <td>...</td>\n",
              "      <td>34.000000</td>\n",
              "      <td>34.000000</td>\n",
              "      <td>34.000000</td>\n",
              "      <td>34.000000</td>\n",
              "      <td>39.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>310.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>4.337449</td>\n",
              "      <td>94.448560</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.271605</td>\n",
              "      <td>0.0</td>\n",
              "      <td>48.485597</td>\n",
              "      <td>10.012346</td>\n",
              "      <td>42.407407</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.014706</td>\n",
              "      <td>49.994412</td>\n",
              "      <td>54.202353</td>\n",
              "      <td>63.806176</td>\n",
              "      <td>0.974359</td>\n",
              "      <td>247.988889</td>\n",
              "      <td>251.888889</td>\n",
              "      <td>243.300000</td>\n",
              "      <td>228.844444</td>\n",
              "      <td>5.138710</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>16.624229</td>\n",
              "      <td>4.062582</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.445705</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.733199</td>\n",
              "      <td>0.110651</td>\n",
              "      <td>10.482308</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>4.431279</td>\n",
              "      <td>6.116252</td>\n",
              "      <td>3.419513</td>\n",
              "      <td>1.924128</td>\n",
              "      <td>0.160128</td>\n",
              "      <td>25.467305</td>\n",
              "      <td>20.078872</td>\n",
              "      <td>35.523689</td>\n",
              "      <td>19.514233</td>\n",
              "      <td>2.064522</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000</td>\n",
              "      <td>87.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>31.000000</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>41.630000</td>\n",
              "      <td>39.850000</td>\n",
              "      <td>47.820000</td>\n",
              "      <td>60.720000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>199.000000</td>\n",
              "      <td>214.600000</td>\n",
              "      <td>169.700000</td>\n",
              "      <td>191.900000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>2.000000</td>\n",
              "      <td>91.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>31.000000</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>50.095000</td>\n",
              "      <td>43.750000</td>\n",
              "      <td>52.170000</td>\n",
              "      <td>62.295000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>247.100000</td>\n",
              "      <td>253.900000</td>\n",
              "      <td>231.100000</td>\n",
              "      <td>232.800000</td>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2.000000</td>\n",
              "      <td>95.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>52.000000</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.655000</td>\n",
              "      <td>51.175000</td>\n",
              "      <td>55.605000</td>\n",
              "      <td>63.170000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>258.700000</td>\n",
              "      <td>257.500000</td>\n",
              "      <td>261.700000</td>\n",
              "      <td>236.300000</td>\n",
              "      <td>5.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2.000000</td>\n",
              "      <td>97.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>51.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>52.000000</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>55.957500</td>\n",
              "      <td>54.097500</td>\n",
              "      <td>56.642500</td>\n",
              "      <td>65.442500</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>263.400000</td>\n",
              "      <td>261.300000</td>\n",
              "      <td>263.200000</td>\n",
              "      <td>239.700000</td>\n",
              "      <td>7.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>154.000000</td>\n",
              "      <td>102.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>67.000000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>52.000000</td>\n",
              "      <td>2.0</td>\n",
              "      <td>...</td>\n",
              "      <td>60.490000</td>\n",
              "      <td>60.310000</td>\n",
              "      <td>58.290000</td>\n",
              "      <td>67.240000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>268.000000</td>\n",
              "      <td>278.600000</td>\n",
              "      <td>271.400000</td>\n",
              "      <td>245.600000</td>\n",
              "      <td>7.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 2876 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ac89a826-6cb9-4a88-a0b8-baf1ef6875b2')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
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              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-ac89a826-6cb9-4a88-a0b8-baf1ef6875b2 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-ac89a826-6cb9-4a88-a0b8-baf1ef6875b2');\n",
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              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 2.Modeling_ML"
      ],
      "metadata": {
        "id": "7GodRp6O-5TM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X_train = train_df.drop(columns=['PRODUCT_ID', 'TIMESTAMP','Y_Class','Y_Quality'])\n",
        "y_train = train_df['Y_Class']\n",
        "\n",
        "test_x = test_df.drop(columns=['PRODUCT_ID','TIMESTAMP'])"
      ],
      "metadata": {
        "id": "c7ObEGz18we8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_x.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9QJL9_yF-OLc",
        "outputId": "519e14c1-b0fd-4635-9f6b-b05186ec2162"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LINE            0\n",
              "PRODUCT_CODE    0\n",
              "X_1             0\n",
              "X_2             0\n",
              "X_3             0\n",
              "               ..\n",
              "X_2871          0\n",
              "X_2872          0\n",
              "X_2873          0\n",
              "X_2874          0\n",
              "X_2875          0\n",
              "Length: 2877, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 129
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "train_x, val_x, train_y, val_y = train_test_split(X_train, y_train,\n",
        "                                                  test_size=0.25,\n",
        "                                                  random_state=37)"
      ],
      "metadata": {
        "id": "SZaitsWzAy0m"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Label Encoding\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "encoder = LabelEncoder()\n",
        "col = ['LINE' ,'PRODUCT_CODE']\n",
        "\n",
        "for i in col:\n",
        "    train_x[i] = encoder.fit_transform(train_x[i])\n",
        "    val_x[i] = encoder.fit_transform(val_x[i])\n",
        "    test_x[i] = encoder.fit_transform(test_x[i])\n",
        "\n",
        "train_df.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b34cd876-1afa-4548-81ee-f02a989dad37",
        "id": "M6vXkDoH9ATg"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "PRODUCT_ID     object\n",
              "Y_Class         int64\n",
              "Y_Quality     float64\n",
              "TIMESTAMP      object\n",
              "LINE            int64\n",
              "               ...   \n",
              "X_2871        float64\n",
              "X_2872          int64\n",
              "X_2873          int64\n",
              "X_2874          int64\n",
              "X_2875          int64\n",
              "Length: 2881, dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 125
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## 2.1 Random Forest"
      ],
      "metadata": {
        "id": "CTdljE99teLX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# RF = RandomForestClassifier(random_state=37).fit(train_x, train_y)\n",
        "# print('Done')"
      ],
      "metadata": {
        "id": "0hMK7g6jtn09"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "X_train = train_df.drop(columns=['PRODUCT_ID', 'TIMESTAMP','Y_Class','Y_Quality'])\n",
        "y_train = train_df['Y_Class']\n",
        "\n",
        "test_x = test_df.drop(columns=['PRODUCT_ID','TIMESTAMP'])"
      ],
      "metadata": {
        "id": "OhyBQNloCJT4"
      },
      "execution_count": 149,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "test_x.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6a91002b-6399-43fe-e021-1d6bc809f53a",
        "id": "CrokSzgaCJT4"
      },
      "execution_count": 150,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "LINE            0\n",
              "PRODUCT_CODE    0\n",
              "X_1             0\n",
              "X_2             0\n",
              "X_3             0\n",
              "               ..\n",
              "X_2871          0\n",
              "X_2872          0\n",
              "X_2873          0\n",
              "X_2874          0\n",
              "X_2875          0\n",
              "Length: 2877, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 150
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "train_x, val_x, train_y, val_y = train_test_split(X_train, y_train,\n",
        "                                                  test_size=0.25,\n",
        "                                                  random_state=37)"
      ],
      "metadata": {
        "id": "Ye7HGX9nCJT5"
      },
      "execution_count": 151,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_y"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "R2iJP2EYCuLo",
        "outputId": "7361f97b-9807-48e7-bb26-43e078a9a943"
      },
      "execution_count": 152,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "240    2\n",
              "185    1\n",
              "315    2\n",
              "410    0\n",
              "396    1\n",
              "      ..\n",
              "451    1\n",
              "22     0\n",
              "437    1\n",
              "251    1\n",
              "363    0\n",
              "Name: Y_Class, Length: 448, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 152
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "RF_model = RandomForestClassifier()"
      ],
      "metadata": {
        "id": "RDzDLlMEEcQK"
      },
      "execution_count": 153,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "train_x"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "AOlcQ7iC6lu9",
        "outputId": "b6ce4b9d-e6eb-4d6e-bd3c-5b3f23768621"
      },
      "execution_count": 154,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     LINE  PRODUCT_CODE  X_1   X_2  X_3   X_4   X_5  X_6   X_7   X_8  ...  \\\n",
              "240     1             0  2.0  95.0  0.0  45.0  10.0  0.0  45.0  10.0  ...   \n",
              "185     4             2  2.0  97.0  0.0  45.0  11.0  0.0  45.0  10.0  ...   \n",
              "315     2             0  2.0  95.0  0.0  45.0  10.0  0.0  45.0  10.0  ...   \n",
              "410     0             0  2.0  95.0  0.0  45.0  10.0  0.0  45.0  10.0  ...   \n",
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              "437     1             0  2.0  95.0  0.0  45.0  10.0  0.0  45.0  10.0  ...   \n",
              "251     4             2  2.0  95.0  0.0  45.0  11.0  0.0  45.0  10.0  ...   \n",
              "363     2             0  2.0  95.0  0.0  45.0  10.0  0.0  45.0  10.0  ...   \n",
              "\n",
              "      X_2866   X_2867  X_2868   X_2869  X_2870  X_2871  X_2872  X_2873  \\\n",
              "240  53.4125  55.8825  51.445  56.1575   65.14     1.0       0       0   \n",
              "185  53.4125  55.8825  51.445  56.1575   65.14     1.0       0       0   \n",
              "315  53.4250  55.9250  40.600  56.5900   65.12     1.0       0       0   \n",
              "410  53.4125  55.8825  51.445  56.1575   65.14     1.0       0       0   \n",
              "396  53.4125  55.8825  51.445  56.1575   65.14     1.0       0       0   \n",
              "..       ...      ...     ...      ...     ...     ...     ...     ...   \n",
              "451  53.4125  55.8825  51.445  56.1575   65.14     1.0       0       0   \n",
              "22   53.4125  55.8825  51.445  56.1575   65.14     1.0       0       0   \n",
              "437  53.4125  55.8825  51.445  56.1575   65.14     1.0       0       0   \n",
              "251  53.4125  55.8825  51.445  56.1575   65.14     1.0       0       0   \n",
              "363  53.7000  54.9800  51.460  56.1750   63.77     1.0       0       0   \n",
              "\n",
              "     X_2874  X_2875  \n",
              "240       0       0  \n",
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              "315       0       0  \n",
              "410       0       0  \n",
              "396       0       0  \n",
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              "22        0       0  \n",
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              "251       0       0  \n",
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              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>396</th>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>2.0</td>\n",
              "      <td>96.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>51.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.4125</td>\n",
              "      <td>55.8825</td>\n",
              "      <td>51.445</td>\n",
              "      <td>56.1575</td>\n",
              "      <td>65.14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>451</th>\n",
              "      <td>5</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>95.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>51.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.4125</td>\n",
              "      <td>55.8825</td>\n",
              "      <td>51.445</td>\n",
              "      <td>56.1575</td>\n",
              "      <td>65.14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>2.0</td>\n",
              "      <td>95.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.4125</td>\n",
              "      <td>55.8825</td>\n",
              "      <td>51.445</td>\n",
              "      <td>56.1575</td>\n",
              "      <td>65.14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>437</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>95.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.4125</td>\n",
              "      <td>55.8825</td>\n",
              "      <td>51.445</td>\n",
              "      <td>56.1575</td>\n",
              "      <td>65.14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>251</th>\n",
              "      <td>4</td>\n",
              "      <td>2</td>\n",
              "      <td>2.0</td>\n",
              "      <td>95.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>11.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.4125</td>\n",
              "      <td>55.8825</td>\n",
              "      <td>51.445</td>\n",
              "      <td>56.1575</td>\n",
              "      <td>65.14</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>363</th>\n",
              "      <td>2</td>\n",
              "      <td>0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>95.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.0</td>\n",
              "      <td>...</td>\n",
              "      <td>53.7000</td>\n",
              "      <td>54.9800</td>\n",
              "      <td>51.460</td>\n",
              "      <td>56.1750</td>\n",
              "      <td>63.77</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>448 rows × 2877 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-24fc775d-6296-43e5-8675-890a5213b9bb')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-24fc775d-6296-43e5-8675-890a5213b9bb button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-24fc775d-6296-43e5-8675-890a5213b9bb');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 154
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "fitted = RF_model.fit(train_x, train_y) "
      ],
      "metadata": {
        "id": "zOitf3hTCWb7"
      },
      "execution_count": 155,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "print(fitted.score(train_x, train_y))\n",
        "print(fitted.score(val_x, val_y))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NusO0ggVBZ1i",
        "outputId": "b56106ee-d66d-4a17-e516-a38aa7f57d0a"
      },
      "execution_count": 156,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "1.0\n",
            "0.7666666666666667\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# from sklearn.ensemble import RandomForestClassifier\n",
        "# from sklearn.datasets import make_classification\n",
        "\n",
        "# X, y = make_classification(n_samples=1000, n_features=4,\n",
        "#                            n_informative=2, n_redundant=0,\n",
        "#                            random_state=37, shuffle=False)\n",
        "\n",
        "# clf = RandomForestClassifier(max_depth=2, random_state=37)\n",
        "# clf.fit(X,y)\n",
        "# print(clf.predict([[0,0,0,0]]))"
      ],
      "metadata": {
        "id": "XT-ZYSwF8xJI"
      },
      "execution_count": 157,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "samQfNa3ExTK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 3.Modeling_DL"
      ],
      "metadata": {
        "id": "Vl05J9tpExbR"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "IFIeaDruExgK"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Rut5hjM1Exna"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 4.Model Comparison"
      ],
      "metadata": {
        "id": "1YwpCO-LHGWh"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "_51zBFdKHGcp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "3s2Na48HHGhp"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "gSZlZQe8HGno"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 5.Inference\n",
        "- finally, performs perdiction for test set"
      ],
      "metadata": {
        "id": "ex7768-Ktt2u"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "test_x.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "o6wlxZ63-aor",
        "outputId": "6138ed6a-59a7-4548-f845-28f1458d3db2"
      },
      "execution_count": 158,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             LINE  PRODUCT_CODE         X_1         X_2    X_3    X_4  \\\n",
              "count  310.000000    310.000000  310.000000  310.000000  310.0  310.0   \n",
              "mean     3.941935      1.554839    3.832258   94.567742    0.0   45.0   \n",
              "std      1.344959      0.825499   14.743467    3.602443    0.0    0.0   \n",
              "min      0.000000      0.000000    1.000000   87.000000    0.0   45.0   \n",
              "25%      4.000000      2.000000    2.000000   93.000000    0.0   45.0   \n",
              "50%      4.000000      2.000000    2.000000   95.000000    0.0   45.0   \n",
              "75%      5.000000      2.000000    2.000000   96.000000    0.0   45.0   \n",
              "max      5.000000      2.000000  154.000000  102.000000    0.0   45.0   \n",
              "\n",
              "              X_5    X_6         X_7         X_8  ...      X_2866      X_2867  \\\n",
              "count  310.000000  310.0  310.000000  310.000000  ...  310.000000  310.000000   \n",
              "mean    10.212903    0.0   48.812903   10.009677  ...   51.838129   53.584774   \n",
              "std      0.410022    0.0    3.362244    0.098055  ...    0.891092    1.461929   \n",
              "min     10.000000    0.0   45.000000   10.000000  ...   44.410000   41.630000   \n",
              "25%     10.000000    0.0   45.000000   10.000000  ...   51.810000   53.655000   \n",
              "50%     10.000000    0.0   50.000000   10.000000  ...   51.810000   53.655000   \n",
              "75%     10.000000    0.0   50.000000   10.000000  ...   51.810000   53.655000   \n",
              "max     11.000000    0.0   67.000000   11.000000  ...   58.060000   60.490000   \n",
              "\n",
              "           X_2868      X_2869      X_2870      X_2871      X_2872      X_2873  \\\n",
              "count  310.000000  310.000000  310.000000  310.000000  310.000000  310.000000   \n",
              "mean    51.045516   55.451161   63.239774    0.996774  258.389032  257.337097   \n",
              "std      2.032641    1.200629    0.659572    0.056796    4.476202    3.365744   \n",
              "min     39.850000   47.820000   60.720000    0.000000  199.000000  214.600000   \n",
              "25%     51.175000   55.605000   63.170000    1.000000  258.700000  257.500000   \n",
              "50%     51.175000   55.605000   63.170000    1.000000  258.700000  257.500000   \n",
              "75%     51.175000   55.605000   63.170000    1.000000  258.700000  257.500000   \n",
              "max     60.310000   58.290000   67.240000    1.000000  268.000000  278.600000   \n",
              "\n",
              "           X_2874      X_2875  \n",
              "count  310.000000  310.000000  \n",
              "mean   261.165806  236.083548  \n",
              "std      6.499698    3.380980  \n",
              "min    169.700000  191.900000  \n",
              "25%    261.700000  236.300000  \n",
              "50%    261.700000  236.300000  \n",
              "75%    261.700000  236.300000  \n",
              "max    271.400000  245.600000  \n",
              "\n",
              "[8 rows x 2877 columns]"
            ],
            "text/html": [
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              "  <div id=\"df-94f3be8e-89cd-4565-a708-3743a61fd1d0\">\n",
              "    <div class=\"colab-df-container\">\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>LINE</th>\n",
              "      <th>PRODUCT_CODE</th>\n",
              "      <th>X_1</th>\n",
              "      <th>X_2</th>\n",
              "      <th>X_3</th>\n",
              "      <th>X_4</th>\n",
              "      <th>X_5</th>\n",
              "      <th>X_6</th>\n",
              "      <th>X_7</th>\n",
              "      <th>X_8</th>\n",
              "      <th>...</th>\n",
              "      <th>X_2866</th>\n",
              "      <th>X_2867</th>\n",
              "      <th>X_2868</th>\n",
              "      <th>X_2869</th>\n",
              "      <th>X_2870</th>\n",
              "      <th>X_2871</th>\n",
              "      <th>X_2872</th>\n",
              "      <th>X_2873</th>\n",
              "      <th>X_2874</th>\n",
              "      <th>X_2875</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.0</td>\n",
              "      <td>310.0</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.0</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "      <td>310.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>3.941935</td>\n",
              "      <td>1.554839</td>\n",
              "      <td>3.832258</td>\n",
              "      <td>94.567742</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.212903</td>\n",
              "      <td>0.0</td>\n",
              "      <td>48.812903</td>\n",
              "      <td>10.009677</td>\n",
              "      <td>...</td>\n",
              "      <td>51.838129</td>\n",
              "      <td>53.584774</td>\n",
              "      <td>51.045516</td>\n",
              "      <td>55.451161</td>\n",
              "      <td>63.239774</td>\n",
              "      <td>0.996774</td>\n",
              "      <td>258.389032</td>\n",
              "      <td>257.337097</td>\n",
              "      <td>261.165806</td>\n",
              "      <td>236.083548</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>1.344959</td>\n",
              "      <td>0.825499</td>\n",
              "      <td>14.743467</td>\n",
              "      <td>3.602443</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.410022</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3.362244</td>\n",
              "      <td>0.098055</td>\n",
              "      <td>...</td>\n",
              "      <td>0.891092</td>\n",
              "      <td>1.461929</td>\n",
              "      <td>2.032641</td>\n",
              "      <td>1.200629</td>\n",
              "      <td>0.659572</td>\n",
              "      <td>0.056796</td>\n",
              "      <td>4.476202</td>\n",
              "      <td>3.365744</td>\n",
              "      <td>6.499698</td>\n",
              "      <td>3.380980</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>87.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>44.410000</td>\n",
              "      <td>41.630000</td>\n",
              "      <td>39.850000</td>\n",
              "      <td>47.820000</td>\n",
              "      <td>60.720000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>199.000000</td>\n",
              "      <td>214.600000</td>\n",
              "      <td>169.700000</td>\n",
              "      <td>191.900000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>4.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>93.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>51.810000</td>\n",
              "      <td>53.655000</td>\n",
              "      <td>51.175000</td>\n",
              "      <td>55.605000</td>\n",
              "      <td>63.170000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>258.700000</td>\n",
              "      <td>257.500000</td>\n",
              "      <td>261.700000</td>\n",
              "      <td>236.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>4.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>95.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>51.810000</td>\n",
              "      <td>53.655000</td>\n",
              "      <td>51.175000</td>\n",
              "      <td>55.605000</td>\n",
              "      <td>63.170000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>258.700000</td>\n",
              "      <td>257.500000</td>\n",
              "      <td>261.700000</td>\n",
              "      <td>236.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>5.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>96.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>50.000000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>51.810000</td>\n",
              "      <td>53.655000</td>\n",
              "      <td>51.175000</td>\n",
              "      <td>55.605000</td>\n",
              "      <td>63.170000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>258.700000</td>\n",
              "      <td>257.500000</td>\n",
              "      <td>261.700000</td>\n",
              "      <td>236.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>5.000000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>154.000000</td>\n",
              "      <td>102.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>45.0</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>67.000000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>...</td>\n",
              "      <td>58.060000</td>\n",
              "      <td>60.490000</td>\n",
              "      <td>60.310000</td>\n",
              "      <td>58.290000</td>\n",
              "      <td>67.240000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>268.000000</td>\n",
              "      <td>278.600000</td>\n",
              "      <td>271.400000</td>\n",
              "      <td>245.600000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>8 rows × 2877 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-94f3be8e-89cd-4565-a708-3743a61fd1d0')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
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              "    .colab-df-convert:hover {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
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              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-94f3be8e-89cd-4565-a708-3743a61fd1d0 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-94f3be8e-89cd-4565-a708-3743a61fd1d0');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 158
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "preds = RF_model.predict(test_x)\n",
        "print('Done.')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sUcI9qjRtyU2",
        "outputId": "8be1ac6b-d809-4970-dc4f-a03a94120137"
      },
      "execution_count": 159,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "preds"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IYsJ59R8DvKQ",
        "outputId": "7022e73c-dff3-46a0-c8d6-1c3ff6fe0850"
      },
      "execution_count": 160,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([2, 2, 2, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 2, 0, 1, 1, 1, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 0, 2, 2, 2, 2, 2, 2, 1, 0, 1, 1, 0,\n",
              "       0, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 1, 2,\n",
              "       1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 1,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2,\n",
              "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
              "       2, 2])"
            ]
          },
          "metadata": {},
          "execution_count": 160
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# 6.Submit"
      ],
      "metadata": {
        "id": "zZCIp_9ct2bQ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "submit = pd.read_csv('/content/drive/MyDrive/sample_submission.csv')  \n",
        "\n",
        "submit['Y_Class'] = preds \n",
        "submit.to_csv('smartFactory_submission.csv', index=False)  "
      ],
      "metadata": {
        "id": "Cyfb21qOt4dn"
      },
      "execution_count": 162,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "hcNFz5zguHMQ"
      },
      "execution_count": 161,
      "outputs": []
    }
  ]
}