{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# 🍄 Mushroom Proportions"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "Import the mushroom dataset"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "mushrooms = pd.read_csv('../../../data/mushrooms.csv')\n",
    "mushrooms.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "       class cap-shape cap-surface cap-color     bruises     odor  \\\n",
       "0  Poisonous    Convex      Smooth     Brown     Bruises  Pungent   \n",
       "1     Edible    Convex      Smooth    Yellow     Bruises   Almond   \n",
       "2     Edible      Bell      Smooth     White     Bruises    Anise   \n",
       "3  Poisonous    Convex       Scaly     White     Bruises  Pungent   \n",
       "4     Edible    Convex      Smooth     Green  No Bruises     None   \n",
       "\n",
       "  gill-attachment gill-spacing gill-size gill-color  ...  \\\n",
       "0            Free        Close    Narrow      Black  ...   \n",
       "1            Free        Close     Broad      Black  ...   \n",
       "2            Free        Close     Broad      Brown  ...   \n",
       "3            Free        Close    Narrow      Brown  ...   \n",
       "4            Free      Crowded     Broad      Black  ...   \n",
       "\n",
       "  stalk-surface-below-ring stalk-color-above-ring stalk-color-below-ring  \\\n",
       "0                   Smooth                  White                  White   \n",
       "1                   Smooth                  White                  White   \n",
       "2                   Smooth                  White                  White   \n",
       "3                   Smooth                  White                  White   \n",
       "4                   Smooth                  White                  White   \n",
       "\n",
       "  veil-type veil-color ring-number   ring-type spore-print-color population  \\\n",
       "0   Partial      White         One     Pendant             Black  Scattered   \n",
       "1   Partial      White         One     Pendant             Brown   Numerous   \n",
       "2   Partial      White         One     Pendant             Brown   Numerous   \n",
       "3   Partial      White         One     Pendant             Black  Scattered   \n",
       "4   Partial      White         One  Evanescent             Brown   Abundant   \n",
       "\n",
       "   habitat  \n",
       "0    Urban  \n",
       "1  Grasses  \n",
       "2  Meadows  \n",
       "3    Urban  \n",
       "4  Grasses  \n",
       "\n",
       "[5 rows x 23 columns]"
      ],
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       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>cap-shape</th>\n",
       "      <th>cap-surface</th>\n",
       "      <th>cap-color</th>\n",
       "      <th>bruises</th>\n",
       "      <th>odor</th>\n",
       "      <th>gill-attachment</th>\n",
       "      <th>gill-spacing</th>\n",
       "      <th>gill-size</th>\n",
       "      <th>gill-color</th>\n",
       "      <th>...</th>\n",
       "      <th>stalk-surface-below-ring</th>\n",
       "      <th>stalk-color-above-ring</th>\n",
       "      <th>stalk-color-below-ring</th>\n",
       "      <th>veil-type</th>\n",
       "      <th>veil-color</th>\n",
       "      <th>ring-number</th>\n",
       "      <th>ring-type</th>\n",
       "      <th>spore-print-color</th>\n",
       "      <th>population</th>\n",
       "      <th>habitat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Poisonous</td>\n",
       "      <td>Convex</td>\n",
       "      <td>Smooth</td>\n",
       "      <td>Brown</td>\n",
       "      <td>Bruises</td>\n",
       "      <td>Pungent</td>\n",
       "      <td>Free</td>\n",
       "      <td>Close</td>\n",
       "      <td>Narrow</td>\n",
       "      <td>Black</td>\n",
       "      <td>...</td>\n",
       "      <td>Smooth</td>\n",
       "      <td>White</td>\n",
       "      <td>White</td>\n",
       "      <td>Partial</td>\n",
       "      <td>White</td>\n",
       "      <td>One</td>\n",
       "      <td>Pendant</td>\n",
       "      <td>Black</td>\n",
       "      <td>Scattered</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Edible</td>\n",
       "      <td>Convex</td>\n",
       "      <td>Smooth</td>\n",
       "      <td>Yellow</td>\n",
       "      <td>Bruises</td>\n",
       "      <td>Almond</td>\n",
       "      <td>Free</td>\n",
       "      <td>Close</td>\n",
       "      <td>Broad</td>\n",
       "      <td>Black</td>\n",
       "      <td>...</td>\n",
       "      <td>Smooth</td>\n",
       "      <td>White</td>\n",
       "      <td>White</td>\n",
       "      <td>Partial</td>\n",
       "      <td>White</td>\n",
       "      <td>One</td>\n",
       "      <td>Pendant</td>\n",
       "      <td>Brown</td>\n",
       "      <td>Numerous</td>\n",
       "      <td>Grasses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Edible</td>\n",
       "      <td>Bell</td>\n",
       "      <td>Smooth</td>\n",
       "      <td>White</td>\n",
       "      <td>Bruises</td>\n",
       "      <td>Anise</td>\n",
       "      <td>Free</td>\n",
       "      <td>Close</td>\n",
       "      <td>Broad</td>\n",
       "      <td>Brown</td>\n",
       "      <td>...</td>\n",
       "      <td>Smooth</td>\n",
       "      <td>White</td>\n",
       "      <td>White</td>\n",
       "      <td>Partial</td>\n",
       "      <td>White</td>\n",
       "      <td>One</td>\n",
       "      <td>Pendant</td>\n",
       "      <td>Brown</td>\n",
       "      <td>Numerous</td>\n",
       "      <td>Meadows</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Poisonous</td>\n",
       "      <td>Convex</td>\n",
       "      <td>Scaly</td>\n",
       "      <td>White</td>\n",
       "      <td>Bruises</td>\n",
       "      <td>Pungent</td>\n",
       "      <td>Free</td>\n",
       "      <td>Close</td>\n",
       "      <td>Narrow</td>\n",
       "      <td>Brown</td>\n",
       "      <td>...</td>\n",
       "      <td>Smooth</td>\n",
       "      <td>White</td>\n",
       "      <td>White</td>\n",
       "      <td>Partial</td>\n",
       "      <td>White</td>\n",
       "      <td>One</td>\n",
       "      <td>Pendant</td>\n",
       "      <td>Black</td>\n",
       "      <td>Scattered</td>\n",
       "      <td>Urban</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Edible</td>\n",
       "      <td>Convex</td>\n",
       "      <td>Smooth</td>\n",
       "      <td>Green</td>\n",
       "      <td>No Bruises</td>\n",
       "      <td>None</td>\n",
       "      <td>Free</td>\n",
       "      <td>Crowded</td>\n",
       "      <td>Broad</td>\n",
       "      <td>Black</td>\n",
       "      <td>...</td>\n",
       "      <td>Smooth</td>\n",
       "      <td>White</td>\n",
       "      <td>White</td>\n",
       "      <td>Partial</td>\n",
       "      <td>White</td>\n",
       "      <td>One</td>\n",
       "      <td>Evanescent</td>\n",
       "      <td>Brown</td>\n",
       "      <td>Abundant</td>\n",
       "      <td>Grasses</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Pie chart\n",
    "\n",
    "Create a pie chart displaying the proportion of Poisonous vs. Edible mushrooms"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "source": [
    "print(mushrooms.select_dtypes([\"object\"]).columns)"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Index(['class', 'cap-shape', 'cap-surface', 'cap-color', 'bruises', 'odor',\n",
      "       'gill-attachment', 'gill-spacing', 'gill-size', 'gill-color',\n",
      "       'stalk-shape', 'stalk-root', 'stalk-surface-above-ring',\n",
      "       'stalk-surface-below-ring', 'stalk-color-above-ring',\n",
      "       'stalk-color-below-ring', 'veil-type', 'veil-color', 'ring-number',\n",
      "       'ring-type', 'spore-print-color', 'population', 'habitat'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "source": [
    "cols = mushrooms.select_dtypes([\"object\"]).columns\n",
    "mushrooms[cols] = mushrooms[cols].astype('category')"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "source": [
    "edibleclass=mushrooms.groupby(['class']).count()\n",
    "edibleclass"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "           cap-shape  cap-surface  cap-color  bruises  odor  gill-attachment  \\\n",
       "class                                                                          \n",
       "Edible          4208         4208       4208     4208  4208             4208   \n",
       "Poisonous       3916         3916       3916     3916  3916             3916   \n",
       "\n",
       "           gill-spacing  gill-size  gill-color  stalk-shape  ...  \\\n",
       "class                                                        ...   \n",
       "Edible             4208       4208        4208         4208  ...   \n",
       "Poisonous          3916       3916        3916         3916  ...   \n",
       "\n",
       "           stalk-surface-below-ring  stalk-color-above-ring  \\\n",
       "class                                                         \n",
       "Edible                         4208                    4208   \n",
       "Poisonous                      3916                    3916   \n",
       "\n",
       "           stalk-color-below-ring  veil-type  veil-color  ring-number  \\\n",
       "class                                                                   \n",
       "Edible                       4208       4208        4208         4208   \n",
       "Poisonous                    3916       3916        3916         3916   \n",
       "\n",
       "           ring-type  spore-print-color  population  habitat  \n",
       "class                                                         \n",
       "Edible          4208               4208        4208     4208  \n",
       "Poisonous       3916               3916        3916     3916  \n",
       "\n",
       "[2 rows x 22 columns]"
      ],
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>cap-shape</th>\n",
       "      <th>cap-surface</th>\n",
       "      <th>cap-color</th>\n",
       "      <th>bruises</th>\n",
       "      <th>odor</th>\n",
       "      <th>gill-attachment</th>\n",
       "      <th>gill-spacing</th>\n",
       "      <th>gill-size</th>\n",
       "      <th>gill-color</th>\n",
       "      <th>stalk-shape</th>\n",
       "      <th>...</th>\n",
       "      <th>stalk-surface-below-ring</th>\n",
       "      <th>stalk-color-above-ring</th>\n",
       "      <th>stalk-color-below-ring</th>\n",
       "      <th>veil-type</th>\n",
       "      <th>veil-color</th>\n",
       "      <th>ring-number</th>\n",
       "      <th>ring-type</th>\n",
       "      <th>spore-print-color</th>\n",
       "      <th>population</th>\n",
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       "      <th>class</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Edible</th>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>...</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "      <td>4208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Poisonous</th>\n",
       "      <td>3916</td>\n",
       "      <td>3916</td>\n",
       "      <td>3916</td>\n",
       "      <td>3916</td>\n",
       "      <td>3916</td>\n",
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       "      <td>3916</td>\n",
       "      <td>3916</td>\n",
       "      <td>3916</td>\n",
       "      <td>3916</td>\n",
       "      <td>3916</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 22 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 7
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "source": [
    "labels=['Edible','Poisonous']\n",
    "plt.pie(edibleclass['population'],labels=labels,autopct='%.1f %%')\n",
    "plt.title('Edible?')\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "source": [
    "capcolor=mushrooms.groupby(['cap-color']).count()\n",
    "capcolor"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "           class  cap-shape  cap-surface  bruises  odor  gill-attachment  \\\n",
       "cap-color                                                                  \n",
       "Brown       2284       2284         2284     2284  2284             2284   \n",
       "Buff         168        168          168      168   168              168   \n",
       "Cinnamon      44         44           44       44    44               44   \n",
       "Green       1856       1856         1856     1856  1856             1856   \n",
       "Pink         144        144          144      144   144              144   \n",
       "Purple        16         16           16       16    16               16   \n",
       "Red         1500       1500         1500     1500  1500             1500   \n",
       "White       1040       1040         1040     1040  1040             1040   \n",
       "Yellow      1072       1072         1072     1072  1072             1072   \n",
       "\n",
       "           gill-spacing  gill-size  gill-color  stalk-shape  ...  \\\n",
       "cap-color                                                    ...   \n",
       "Brown              2284       2284        2284         2284  ...   \n",
       "Buff                168        168         168          168  ...   \n",
       "Cinnamon             44         44          44           44  ...   \n",
       "Green              1856       1856        1856         1856  ...   \n",
       "Pink                144        144         144          144  ...   \n",
       "Purple               16         16          16           16  ...   \n",
       "Red                1500       1500        1500         1500  ...   \n",
       "White              1040       1040        1040         1040  ...   \n",
       "Yellow             1072       1072        1072         1072  ...   \n",
       "\n",
       "           stalk-surface-below-ring  stalk-color-above-ring  \\\n",
       "cap-color                                                     \n",
       "Brown                          2284                    2284   \n",
       "Buff                            168                     168   \n",
       "Cinnamon                         44                      44   \n",
       "Green                          1856                    1856   \n",
       "Pink                            144                     144   \n",
       "Purple                           16                      16   \n",
       "Red                            1500                    1500   \n",
       "White                          1040                    1040   \n",
       "Yellow                         1072                    1072   \n",
       "\n",
       "           stalk-color-below-ring  veil-type  veil-color  ring-number  \\\n",
       "cap-color                                                               \n",
       "Brown                        2284       2284        2284         2284   \n",
       "Buff                          168        168         168          168   \n",
       "Cinnamon                       44         44          44           44   \n",
       "Green                        1856       1856        1856         1856   \n",
       "Pink                          144        144         144          144   \n",
       "Purple                         16         16          16           16   \n",
       "Red                          1500       1500        1500         1500   \n",
       "White                        1040       1040        1040         1040   \n",
       "Yellow                       1072       1072        1072         1072   \n",
       "\n",
       "           ring-type  spore-print-color  population  habitat  \n",
       "cap-color                                                     \n",
       "Brown           2284               2284        2284     2284  \n",
       "Buff             168                168         168      168  \n",
       "Cinnamon          44                 44          44       44  \n",
       "Green           1856               1856        1856     1856  \n",
       "Pink             144                144         144      144  \n",
       "Purple            16                 16          16       16  \n",
       "Red             1500               1500        1500     1500  \n",
       "White           1040               1040        1040     1040  \n",
       "Yellow          1072               1072        1072     1072  \n",
       "\n",
       "[9 rows x 22 columns]"
      ],
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>class</th>\n",
       "      <th>cap-shape</th>\n",
       "      <th>cap-surface</th>\n",
       "      <th>bruises</th>\n",
       "      <th>odor</th>\n",
       "      <th>gill-attachment</th>\n",
       "      <th>gill-spacing</th>\n",
       "      <th>gill-size</th>\n",
       "      <th>gill-color</th>\n",
       "      <th>stalk-shape</th>\n",
       "      <th>...</th>\n",
       "      <th>stalk-surface-below-ring</th>\n",
       "      <th>stalk-color-above-ring</th>\n",
       "      <th>stalk-color-below-ring</th>\n",
       "      <th>veil-type</th>\n",
       "      <th>veil-color</th>\n",
       "      <th>ring-number</th>\n",
       "      <th>ring-type</th>\n",
       "      <th>spore-print-color</th>\n",
       "      <th>population</th>\n",
       "      <th>habitat</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cap-color</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Brown</th>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>...</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "      <td>2284</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Buff</th>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>...</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cinnamon</th>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Green</th>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>...</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "      <td>1856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pink</th>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>...</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "      <td>144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Purple</th>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
       "      <td>16</td>\n",
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       "    <tr>\n",
       "      <th>Red</th>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>...</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "      <td>1500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>White</th>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>...</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "      <td>1040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Yellow</th>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>...</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "      <td>1072</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>9 rows × 22 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 9
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Donut chart"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "source": [
    "habitat=mushrooms.groupby(['habitat']).count()\n",
    "habitat"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "         class  cap-shape  cap-surface  cap-color  bruises  odor  \\\n",
       "habitat                                                            \n",
       "Grasses   2148       2148         2148       2148     2148  2148   \n",
       "Leaves     832        832          832        832      832   832   \n",
       "Meadows    292        292          292        292      292   292   \n",
       "Paths     1144       1144         1144       1144     1144  1144   \n",
       "Urban      368        368          368        368      368   368   \n",
       "Waste      192        192          192        192      192   192   \n",
       "Wood      3148       3148         3148       3148     3148  3148   \n",
       "\n",
       "         gill-attachment  gill-spacing  gill-size  gill-color  ...  \\\n",
       "habitat                                                        ...   \n",
       "Grasses             2148          2148       2148        2148  ...   \n",
       "Leaves               832           832        832         832  ...   \n",
       "Meadows              292           292        292         292  ...   \n",
       "Paths               1144          1144       1144        1144  ...   \n",
       "Urban                368           368        368         368  ...   \n",
       "Waste                192           192        192         192  ...   \n",
       "Wood                3148          3148       3148        3148  ...   \n",
       "\n",
       "         stalk-surface-above-ring  stalk-surface-below-ring  \\\n",
       "habitat                                                       \n",
       "Grasses                      2148                      2148   \n",
       "Leaves                        832                       832   \n",
       "Meadows                       292                       292   \n",
       "Paths                        1144                      1144   \n",
       "Urban                         368                       368   \n",
       "Waste                         192                       192   \n",
       "Wood                         3148                      3148   \n",
       "\n",
       "         stalk-color-above-ring  stalk-color-below-ring  veil-type  \\\n",
       "habitat                                                              \n",
       "Grasses                    2148                    2148       2148   \n",
       "Leaves                      832                     832        832   \n",
       "Meadows                     292                     292        292   \n",
       "Paths                      1144                    1144       1144   \n",
       "Urban                       368                     368        368   \n",
       "Waste                       192                     192        192   \n",
       "Wood                       3148                    3148       3148   \n",
       "\n",
       "         veil-color  ring-number  ring-type  spore-print-color  population  \n",
       "habitat                                                                     \n",
       "Grasses        2148         2148       2148               2148        2148  \n",
       "Leaves          832          832        832                832         832  \n",
       "Meadows         292          292        292                292         292  \n",
       "Paths          1144         1144       1144               1144        1144  \n",
       "Urban           368          368        368                368         368  \n",
       "Waste           192          192        192                192         192  \n",
       "Wood           3148         3148       3148               3148        3148  \n",
       "\n",
       "[7 rows x 22 columns]"
      ],
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       "      <td>3148</td>\n",
       "      <td>...</td>\n",
       "      <td>3148</td>\n",
       "      <td>3148</td>\n",
       "      <td>3148</td>\n",
       "      <td>3148</td>\n",
       "      <td>3148</td>\n",
       "      <td>3148</td>\n",
       "      <td>3148</td>\n",
       "      <td>3148</td>\n",
       "      <td>3148</td>\n",
       "      <td>3148</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7 rows × 22 columns</p>\n",
       "</div>"
      ]
     },
     "metadata": {},
     "execution_count": 10
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "source": [
    "  \n",
    "labels=['Grasses','Leaves','Meadows','Paths','Urban','Waste','Wood']\n",
    "\n",
    "plt.pie(habitat['class'], labels=labels,\n",
    "        autopct='%1.1f%%', pctdistance=0.85)\n",
    "  \n",
    "center_circle = plt.Circle((0, 0), 0.40, fc='white')\n",
    "fig = plt.gcf()\n",
    "\n",
    "fig.gca().add_artist(center_circle)\n",
    "  \n",
    "# Adding Title of chart\n",
    "plt.title('Mushroom Habitats')\n",
    "  \n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Waffle chart"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "source": [
    "pip install pywaffle"
   ],
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "Requirement already satisfied: pywaffle in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (0.6.3)\n",
      "Requirement already satisfied: matplotlib in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from pywaffle) (3.1.0)\n",
      "Requirement already satisfied: python-dateutil>=2.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib->pywaffle) (2.8.0)\n",
      "Requirement already satisfied: numpy>=1.11 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib->pywaffle) (1.19.2)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib->pywaffle) (2.4.0)\n",
      "Requirement already satisfied: cycler>=0.10 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib->pywaffle) (0.10.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from matplotlib->pywaffle) (1.1.0)\n",
      "Requirement already satisfied: six>=1.5 in /Users/jenlooper/Library/Python/3.7/lib/python/site-packages (from python-dateutil>=2.1->matplotlib->pywaffle) (1.12.0)\n",
      "Requirement already satisfied: setuptools in /Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages (from kiwisolver>=1.0.1->matplotlib->pywaffle) (45.1.0)\n",
      "\u001b[33mWARNING: You are using pip version 20.2.3; however, version 21.2.3 is available.\n",
      "You should consider upgrading via the '/Library/Frameworks/Python.framework/Versions/3.7/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from pywaffle import Waffle\n",
    "  \n",
    "# creation of a dataframe\n",
    "\n",
    "\n",
    "data ={'color': ['brown', 'buff', 'cinnamon', 'green', 'pink', 'purple', 'red', 'white', 'yellow'],\n",
    "    'amount': capcolor['class']\n",
    "     }\n",
    "  \n",
    "df = pd.DataFrame(data)\n",
    "  \n",
    "# To plot the waffle Chart\n",
    "fig = plt.figure(\n",
    "    FigureClass = Waffle,\n",
    "    rows = 100,\n",
    "    values = df.amount,\n",
    "    labels = list(df.color),\n",
    "    figsize = (30,30),\n",
    "    colors=[\"brown\", \"tan\", \"maroon\", \"green\", \"pink\", \"purple\", \"red\", \"whitesmoke\", \"yellow\"],\n",
    ")\n",
    "\n",
    "\n"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Waffle size 2160x2160 with 1 Axes>"
      ],
      "image/png": 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