4장_판다스_데이터_분석_(4.3).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "dc04a289",
   "metadata": {},
   "source": [
    "# 데이터프레임 고급 인덱싱"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a40dc65b",
   "metadata": {},
   "source": [
    "* loc : 라벨값 기반의 2차원 인덱싱\n",
    "\n",
    "* iloc : 순서를 나타내는 정수 기반의 2차원 인덱싱"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "65e29999",
   "metadata": {},
   "outputs": [
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       "\n",
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       "        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>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>10</td>\n",
       "      <td>11</td>\n",
       "      <td>12</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>b</th>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>c</th>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "    A   B   C   D\n",
       "a  10  11  12  13\n",
       "b  14  15  16  17\n",
       "c  18  19  20  21"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "df = pd.DataFrame(np.arange(10, 22).reshape(3, 4),\n",
    "                  index=[\"a\", \"b\", \"c\"],\n",
    "                  columns=[\"A\", \"B\", \"C\", \"D\"])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b0e88f26",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>A</th>\n",
       "      <th>B</th>\n",
       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>a</th>\n",
       "      <td>10</td>\n",
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       "      <td>13</td>\n",
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       "      <th>b</th>\n",
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      "text/plain": [
       "    A   B   C   D\n",
       "a  10  11  12  13\n",
       "b  14  15  16  17"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[\"a\":\"b\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "3a53ec86",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "A    18\n",
       "B    19\n",
       "C    20\n",
       "D    21\n",
       "Name: c, dtype: int32"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[\"c\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f5534d4b",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>A</th>\n",
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       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>b</th>\n",
       "      <td>14</td>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "      <td>17</td>\n",
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       "    <tr>\n",
       "      <th>c</th>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
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      "text/plain": [
       "    A   B   C   D\n",
       "b  14  15  16  17\n",
       "c  18  19  20  21"
      ]
     },
     "execution_count": 9,
     "metadata": {},
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    }
   ],
   "source": [
    "df.loc[[\"b\", \"c\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "88fe77ed",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>D</th>\n",
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       "      <th>c</th>\n",
       "      <td>18</td>\n",
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      "text/plain": [
       "    A   B   C   D\n",
       "b  14  15  16  17\n",
       "c  18  19  20  21"
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     "execution_count": 10,
     "metadata": {},
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   ],
   "source": [
    "df.loc[df.A > 12]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "9db233da",
   "metadata": {},
   "outputs": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
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       "      <th>C</th>\n",
       "      <th>D</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "      <th>0</th>\n",
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       "      <th>1</th>\n",
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       "      <td>17</td>\n",
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       "      <th>2</th>\n",
       "      <td>18</td>\n",
       "      <td>19</td>\n",
       "      <td>20</td>\n",
       "      <td>21</td>\n",
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       "      <th>3</th>\n",
       "      <td>22</td>\n",
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       "      <td>24</td>\n",
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      "text/plain": [
       "    A   B   C   D\n",
       "0  10  11  12  13\n",
       "1  14  15  16  17\n",
       "2  18  19  20  21\n",
       "3  22  23  24  25"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2 = pd.DataFrame(np.arange(10, 26).reshape(4, 4), columns=[\"A\", \"B\", \"C\", \"D\"])\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "78947d81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.loc[\"a\", \"A\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "32c44f70",
   "metadata": {},
   "outputs": [
    {
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      "text/html": [
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       "    B   D\n",
       "a  11  13\n",
       "b  15  17"
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   ],
   "source": [
    "df.loc[[\"a\", \"b\"], [\"B\", \"D\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a2b42e4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>C</th>\n",
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       "    C   D\n",
       "b  16  17\n",
       "c  20  21"
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     "execution_count": 14,
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   ],
   "source": [
    "df.loc[df.A > 10, [\"C\", \"D\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "99edd458",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "11"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0, 1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "666e5949",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "a    12\n",
       "b    16\n",
       "Name: C, dtype: int32"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[:2, 2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a1428827",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "C    12\n",
       "D    13\n",
       "Name: a, dtype: int32"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[0, -2:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "1add9efc",
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       "      <th>4</th>\n",
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       "      <th>5</th>\n",
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       "    A   B   C   D   E\n",
       "1   1   2   3   4   5\n",
       "2   6   7   8   9  10\n",
       "3  11  12  13  14  15\n",
       "4  16  17  18  19  20\n",
       "5  21  22  23  24  25"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.DataFrame(np.arange(1,26).reshape(5,5), \n",
    "                      index = [i for i in range(1,6)],\n",
    "                      columns = [\"A\", \"B\", \"C\", \"D\", \"E\"])\n",
    "df1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "fc95c4b7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.iloc[0,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "d0a32168",
   "metadata": {},
   "outputs": [
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