icicleplots.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make sure I've not mucked this up with ordering things! Every doc should have a topic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Document</th>\n",
       "      <th>Index</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I moved my outdoor furniture</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>was anxious when I heard the wind</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>No dog walks</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Our garden flooded so had to fork it to aid dr...</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Didn’t go out when storms hit</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Document  Index\n",
       "0                      I moved my outdoor furniture       1\n",
       "1                 was anxious when I heard the wind       1\n",
       "2                                      No dog walks       2\n",
       "3  Our garden flooded so had to fork it to aid dr...      3\n",
       "4                      Didn’t go out when storms hit      4"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "HeatData=pd.read_csv('DocumentProcessing/HeatData.csv')\n",
    "HeatData.head()\n",
    "\n",
    "ColdData=pd.read_csv('DocumentProcessing/ColdData.csv')\n",
    "ColdData.head()\n",
    "\n",
    "FloodData=pd.read_csv('DocumentProcessing/FloodData.csv')\n",
    "FloodData.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Document</th>\n",
       "      <th>Topic_Actual</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I moved my outdoor furniture</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>was anxious when I heard the wind</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>No dog walks</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Our garden flooded so had to fork it to aid dr...</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Didnâ€™t go out when storms hit</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            Document  Topic_Actual\n",
       "0                      I moved my outdoor furniture              0\n",
       "1                 was anxious when I heard the wind              1\n",
       "2                                      No dog walks              6\n",
       "3  Our garden flooded so had to fork it to aid dr...             2\n",
       "4                    Didnâ€™t go out when storms hit             1"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ColdTopics = pd.read_excel('DocumentProcessing/Cold_Document_Info (1).xlsx')\n",
    "ColdTopics['Topic_Actual'] = ColdTopics.apply(\n",
    "    lambda row: int(row['Reassigned Topic']) if pd.notnull(row['Reassigned Topic']) else int(row['Topic']), axis=1\n",
    ")\n",
    "ColdFocus = ColdTopics[[\"Document\", \"Topic_Actual\"]]#, 'Representation', 'Representative_Docs', 'Top_n_words']]\n",
    "ColdFocus.head()\n",
    "\n",
    "FloodTopics = pd.read_excel('DocumentProcessing/Flood_Document_Info (1).xlsx')\n",
    "FloodTopics['Topic_Actual'] = FloodTopics.apply(\n",
    "    lambda row: int(row['Reassigned Topic']) if pd.notnull(row['Reassigned Topic']) else int(row['Topic']), axis=1\n",
    ")\n",
    "FloodFocus = FloodTopics[[\"Document\", \"Topic_Actual\"]]#, 'Representation', 'Representative_Docs', 'Top_n_words']]\n",
    "FloodFocus.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cold entries removed:  126\n",
      "Flood entries removed:  107\n"
     ]
    }
   ],
   "source": [
    "# Remove any entry with \"Topic_Actual\" == -100\n",
    "print(\"Cold entries removed: \", ColdFocus[ColdFocus['Topic_Actual'] == -100].shape[0])\n",
    "ColdFocus = ColdFocus[ColdFocus['Topic_Actual'] != -100]\n",
    "# Output how many ColdFocus items were removed by this process\n",
    "print(\"Flood entries removed: \", FloodFocus[FloodFocus['Topic_Actual'] == -100].shape[0])\n",
    "FloodFocus = FloodFocus[FloodFocus['Topic_Actual'] != -100]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                                               Document  Index  Topic_Actual\n",
      "0                         I moved my outdoor furniture       1             0\n",
      "1                    was anxious when I heard the wind       1             1\n",
      "2                                         No dog walks       2             6\n",
      "3     Our garden flooded so had to fork it to aid dr...      3             2\n",
      "4                                       Prepared for it      5            11\n",
      "...                                                 ...    ...           ...\n",
      "2498                                     Stayed in more   1320             4\n",
      "2499                                     Stayed in more   1320             4\n",
      "2500                                     Stayed in more   1320             4\n",
      "2501                                     Stayed in more   1320             4\n",
      "2502                                  Walked less often   1321            15\n",
      "\n",
      "[2503 rows x 3 columns]\n"
     ]
    }
   ],
   "source": [
    "# Note I reordered the relabelled data by index in excel before merging\n",
    "ColdDf = ColdData.merge(ColdFocus)\n",
    "ColdDf.head()\n",
    "\n",
    "FloodDf = FloodData.merge(FloodFocus)\n",
    "print(FloodDf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Topic_Actual\n",
       " 4     674\n",
       " 0     272\n",
       " 1     176\n",
       " 2     151\n",
       " 10    132\n",
       " 5     130\n",
       " 3     125\n",
       " 9     105\n",
       " 8     100\n",
       " 7      99\n",
       "-1      95\n",
       " 6      87\n",
       " 13     83\n",
       " 14     63\n",
       " 11     60\n",
       " 12     57\n",
       " 15     50\n",
       " 16     44\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ColdDf[\"Topic_Actual\"].value_counts()\n",
    "FloodDf[\"Topic_Actual\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "def ColdMap(topic_no):\n",
    "    \"\"\"\n",
    "    Maps topic numbers generated from BERT for Cold Data to major and minor categories\n",
    "    \"\"\"\n",
    "    if topic_no == 0:\n",
    "        return \"Personal care\", \"Warm clothes/hot water bottle\"\n",
    "    elif topic_no == 1:\n",
    "        return \"Reduced activity\", \"Cancelled plans/exercise\"\n",
    "    elif topic_no == 2:\n",
    "        return \"Precaution\", \"Car/external home preparation\"\n",
    "    elif topic_no == 3:\n",
    "        return \"Home adaptation\", \"Blankets\"\n",
    "    elif topic_no in [4, 7, 8, 9, 14]:\n",
    "        return \"Technology solution\", \"Heating\"\n",
    "    elif topic_no == 5:\n",
    "        return \"Alternative plans\", \"Transport\"\n",
    "    elif topic_no == 6:\n",
    "        return \"Reduced activity\", \"Stay indoors\"\n",
    "    elif topic_no == 10:\n",
    "        return \"Alternative plans\", \"Early bed/walk\"\n",
    "    elif topic_no in [11, 15]:\n",
    "        return \"Home adaptation\", \"Insulation\"\n",
    "    elif topic_no == 12:\n",
    "        return \"Alternative plans\", \"Home working\"\n",
    "    elif topic_no == 13:\n",
    "        return \"Anxiety\", \"Cost of heating\"\n",
    "    elif topic_no == 16:\n",
    "        return \"Precaution\", \"Stock up food\"\n",
    "    elif topic_no == 17:\n",
    "        return \"Personal care\", \"Hot meals/drinks\"\n",
    "    elif topic_no == -1:\n",
    "        return \"Other\", \"Other\"\n",
    "    else:\n",
    "        print(\"Cold Error:\", topic_no)\n",
    "    \n",
    "def FloodMap(topic_no):\n",
    "    \"\"\"\n",
    "    Maps topic numbers generated from BERT for Flood Data to major and minor categories\n",
    "    \"\"\"\n",
    "    if topic_no == 0:\n",
    "        return \"Precaution\", \"Secure objects\"\n",
    "    elif topic_no in [1, 4, 5, 10]:\n",
    "        return \"Reduced activity\", \"Stay indoors\"\n",
    "    elif topic_no in [2, 14]:\n",
    "        return \"Alternative plans\", \"Route\"\n",
    "    elif topic_no in [3, 15]:\n",
    "        return \"Reduced activity\", \"Reduced exercise\"\n",
    "    elif topic_no == 6:\n",
    "        return \"Clothing\", \"Waterproof gear\"\n",
    "    elif topic_no == 7:\n",
    "        return \"Alternative plans\", \"Transport\"\n",
    "    elif topic_no == 8:\n",
    "        return \"Alternative plans\", \"Longer journeys\"\n",
    "    elif topic_no == 9:\n",
    "        return \"Reduced activity\", \"Cancelled plans\"\n",
    "    elif topic_no == 11:\n",
    "        return \"Precaution\", \"Stock up food\"\n",
    "    elif topic_no == 12:\n",
    "        return \"Clothing\", \"Warm clothes\"\n",
    "    elif topic_no == 13:\n",
    "        return \"Precaution\", \"Clear drains/gutter\"\n",
    "    elif topic_no == 16:\n",
    "        return \"Precaution\", \"Check in on people\"\n",
    "    elif topic_no == -1:\n",
    "        return \"Other\", \"Other\"\n",
    "    else:\n",
    "        print(\"Flood Error\", topic_no)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>Document</th>\n",
       "      <th>Index</th>\n",
       "      <th>Topic_Actual</th>\n",
       "      <th>Major</th>\n",
       "      <th>Minor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>I moved my outdoor furniture</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>Precaution</td>\n",
       "      <td>Secure objects</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>was anxious when I heard the wind</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>Reduced activity</td>\n",
       "      <td>Stay indoors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>No dog walks</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>Clothing</td>\n",
       "      <td>Waterproof gear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Our garden flooded so had to fork it to aid dr...</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>Alternative plans</td>\n",
       "      <td>Route</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Prepared for it</td>\n",
       "      <td>5</td>\n",
       "      <td>11</td>\n",
       "      <td>Precaution</td>\n",
       "      <td>Stock up food</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2498</th>\n",
       "      <td>Stayed in more</td>\n",
       "      <td>1320</td>\n",
       "      <td>4</td>\n",
       "      <td>Reduced activity</td>\n",
       "      <td>Stay indoors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2499</th>\n",
       "      <td>Stayed in more</td>\n",
       "      <td>1320</td>\n",
       "      <td>4</td>\n",
       "      <td>Reduced activity</td>\n",
       "      <td>Stay indoors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2500</th>\n",
       "      <td>Stayed in more</td>\n",
       "      <td>1320</td>\n",
       "      <td>4</td>\n",
       "      <td>Reduced activity</td>\n",
       "      <td>Stay indoors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2501</th>\n",
       "      <td>Stayed in more</td>\n",
       "      <td>1320</td>\n",
       "      <td>4</td>\n",
       "      <td>Reduced activity</td>\n",
       "      <td>Stay indoors</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2502</th>\n",
       "      <td>Walked less often</td>\n",
       "      <td>1321</td>\n",
       "      <td>15</td>\n",
       "      <td>Reduced activity</td>\n",
       "      <td>Reduced exercise</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2503 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               Document  Index  Topic_Actual  \\\n",
       "0                         I moved my outdoor furniture       1             0   \n",
       "1                    was anxious when I heard the wind       1             1   \n",
       "2                                         No dog walks       2             6   \n",
       "3     Our garden flooded so had to fork it to aid dr...      3             2   \n",
       "4                                       Prepared for it      5            11   \n",
       "...                                                 ...    ...           ...   \n",
       "2498                                     Stayed in more   1320             4   \n",
       "2499                                     Stayed in more   1320             4   \n",
       "2500                                     Stayed in more   1320             4   \n",
       "2501                                     Stayed in more   1320             4   \n",
       "2502                                  Walked less often   1321            15   \n",
       "\n",
       "                  Major             Minor  \n",
       "0            Precaution    Secure objects  \n",
       "1      Reduced activity      Stay indoors  \n",
       "2              Clothing   Waterproof gear  \n",
       "3     Alternative plans             Route  \n",
       "4            Precaution     Stock up food  \n",
       "...                 ...               ...  \n",
       "2498   Reduced activity      Stay indoors  \n",
       "2499   Reduced activity      Stay indoors  \n",
       "2500   Reduced activity      Stay indoors  \n",
       "2501   Reduced activity      Stay indoors  \n",
       "2502   Reduced activity  Reduced exercise  \n",
       "\n",
       "[2503 rows x 5 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ColdDf['Major'], ColdDf['Minor'] = zip(*ColdDf['Topic_Actual'].map(ColdMap))\n",
    "ColdDf.head()\n",
    "\n",
    "FloodDf['Major'], FloodDf['Minor'] = zip(*FloodDf['Topic_Actual'].map(FloodMap))\n",
    "FloodDf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "https://plotly.com/python/icicle-charts/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# cold_major_count = ColdDf['Major'].value_counts()\n",
    "# print(cold_major_count)\n",
    "# cold_minor_count = ColdDf['Minor'].value_counts()\n",
    "# print(cold_minor_count)\n",
    "\n",
    "def MajorMinorDf_To_IcicleFrame(dataframe):\n",
    "    \"\"\"\n",
    "    Converts a dataframe with Major and Minor columns to a dataframe with Major, Minor, and Count columns.\n",
    "    The Count column represents the unique number of individuals (Index) that correspond with each combination\n",
    "    of Major and Minor.\n",
    "    \"\"\"\n",
    "    \n",
    "    # Group by 'Major' and 'Minor' and count unique occurrences of 'Index'\n",
    "    major_minor_count = dataframe.groupby(['Major', 'Minor'])['Index'].nunique().reset_index(name='Count')\n",
    "    \n",
    "    # Sort the DataFrame by 'Major' and 'Count' in descending order\n",
    "    major_minor_count = major_minor_count.sort_values(by=['Major', 'Count'], ascending=[True, False])\n",
    "    \n",
    "    # Reset the index of the sorted DataFrame\n",
    "    major_minor_count = major_minor_count.reset_index(drop=True)\n",
    "    \n",
    "    # Return the processed DataFrame\n",
    "    return major_minor_count\n",
    "\n",
    "Cold_Icicle = MajorMinorDf_To_IcicleFrame(ColdDf)\n",
    "Flood_Icicle = MajorMinorDf_To_IcicleFrame(FloodDf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<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>Major</th>\n",
       "      <th>Minor</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alternative plans</td>\n",
       "      <td>Transport</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alternative plans</td>\n",
       "      <td>Early bed/walk</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alternative plans</td>\n",
       "      <td>Home working</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Home adaptation</td>\n",
       "      <td>Blankets</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Home adaptation</td>\n",
       "      <td>Insulation</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Other</td>\n",
       "      <td>Other</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Personal care</td>\n",
       "      <td>Warm clothes/hot water bottle</td>\n",
       "      <td>561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Personal care</td>\n",
       "      <td>Hot meals/drinks</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Precaution</td>\n",
       "      <td>Car/external home preparation</td>\n",
       "      <td>213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Precaution</td>\n",
       "      <td>Stock up food</td>\n",
       "      <td>67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Reduced activity</td>\n",
       "      <td>Cancelled plans/exercise</td>\n",
       "      <td>297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Reduced activity</td>\n",
       "      <td>Stay indoors</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Technology solution</td>\n",
       "      <td>Heating</td>\n",
       "      <td>625</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Major                          Minor  Count\n",
       "0     Alternative plans                      Transport    110\n",
       "1     Alternative plans                 Early bed/walk     92\n",
       "2     Alternative plans                   Home working     80\n",
       "3       Home adaptation                       Blankets    162\n",
       "4       Home adaptation                     Insulation    126\n",
       "5                 Other                          Other     52\n",
       "6         Personal care  Warm clothes/hot water bottle    561\n",
       "7         Personal care               Hot meals/drinks     71\n",
       "8            Precaution  Car/external home preparation    213\n",
       "9            Precaution                  Stock up food     67\n",
       "10     Reduced activity       Cancelled plans/exercise    297\n",
       "11     Reduced activity                   Stay indoors    169\n",
       "12  Technology solution                        Heating    625"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "Cold_Icicle = Cold_Icicle[Cold_Icicle['Major'] != 'Anxiety']\n",
    "Cold_Icicle.reset_index(drop=True, inplace=True)\n",
    "Cold_Icicle"
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           "bgcolor": "#E5ECF6",
           "radialaxis": {
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          },
          "scene": {
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            "gridwidth": 2,
            "linecolor": "white",
            "showbackground": true,
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           "yaxis": {
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           "zaxis": {
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            "showbackground": true,
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            "color": "#2a3f5f"
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          },
          "ternary": {
           "aaxis": {
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            "ticks": ""
           },
           "baxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           },
           "bgcolor": "#E5ECF6",
           "caxis": {
            "gridcolor": "white",
            "linecolor": "white",
            "ticks": ""
           }
          },
          "title": {
           "x": 0.05
          },
          "xaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
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           "zerolinecolor": "white",
           "zerolinewidth": 2
          },
          "yaxis": {
           "automargin": true,
           "gridcolor": "white",
           "linecolor": "white",
           "ticks": "",
           "title": {
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           },
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           "zerolinewidth": 2
          }
         }
        },
        "title": {
         "text": "plotly.colors.qualitative"
        },
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         "showticklabels": false
        }
       }
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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "\n",
    "fig = px.colors.qualitative.swatches()\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
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         },
         "hovertemplate": "labels=%{label}<br>Count=%{value}<br>parent=%{parent}<br>id=%{id}<extra></extra>",
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          "all/Home adaptation/Blankets",
          "all/Reduced activity/Cancelled plans/exercise",
          "all/Precaution/Car/external home preparation",
          "all/Alternative plans/Early bed/walk",
          "all/Technology solution/Heating",
          "all/Alternative plans/Home working",
          "all/Personal care/Hot meals/drinks",
          "all/Home adaptation/Insulation",
          "all/Other/Other",
          "all/Reduced activity/Stay indoors",
          "all/Precaution/Stock up food",
          "all/Alternative plans/Transport",
          "all/Personal care/Warm clothes/hot water bottle",
          "all/Alternative plans",
          "all/Home adaptation",
          "all/Other",
          "all/Personal care",
          "all/Precaution",
          "all/Reduced activity",
          "all/Technology solution",
          "all"
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         "labels": [
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   ],
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    "import plotly.express as px\n",
    "\n",
    "fig = px.icicle(Cold_Icicle, path=[px.Constant(\"all\"), 'Major', 'Minor'], values='Count', \n",
    "                color_discrete_sequence=px.colors.qualitative.Light24)\n",
    "# Colour options (see above)\n",
    "fig.update_traces(root_color=\"lightgrey\", textinfo='label+value', texttemplate='%{label}: %{value}')\n",
    "fig.update_layout(title=\"Unique Respondents for different Topics on Cold Adaptations\", font_size=20, title_font_size=23)\n",
    "# font_size controls the global font size and it will make things fit where needed\n",
    "# title_font_size controls the title font size which we want to be different from the global font_size\n",
    "fig.update_layout(width=800, height=1000)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
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        },
        "width": 800
       }
      }
     },
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   ],
   "source": [
    "import plotly.express as px\n",
    "\n",
    "fig = px.icicle(Flood_Icicle, path=[px.Constant(\"all\"), 'Major', 'Minor'], values='Count', \n",
    "                color_discrete_sequence=px.colors.qualitative.Light24)\n",
    "# Colour options (see above)\n",
    "fig.update_traces(root_color=\"lightgrey\", textinfo='label+value', texttemplate='%{label}: %{value}')\n",
    "fig.update_layout(title=\"Unique Respondents for different Topics on Flood Adaptations\", font_size=20, title_font_size=23)\n",
    "# font_size controls the global font size and it will make things fit where needed\n",
    "# title_font_size controls the title font size which we want to be different from the global font_size\n",
    "fig.update_layout(width=800, height=1000)\n",
    "fig.show()"
   ]
  }
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