webinar.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "274a4fe1-0e98-4e08-bc19-e96864a9b9ec",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The history saving thread hit an unexpected error (OperationalError('attempt to write a readonly database')).History will not be written to the database.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e805118c-f227-48fa-ae26-8c5a3c4895fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "pokemon = pd.read_csv(\"pokemon.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4f236296-9e5e-4ed1-b925-9c13724a7ab1",
   "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>national_number</th>\n",
       "      <th>gen</th>\n",
       "      <th>english_name</th>\n",
       "      <th>japanese_name</th>\n",
       "      <th>primary_type</th>\n",
       "      <th>secondary_type</th>\n",
       "      <th>classification</th>\n",
       "      <th>percent_male</th>\n",
       "      <th>percent_female</th>\n",
       "      <th>height_m</th>\n",
       "      <th>...</th>\n",
       "      <th>evochain_1</th>\n",
       "      <th>evochain_2</th>\n",
       "      <th>evochain_3</th>\n",
       "      <th>evochain_4</th>\n",
       "      <th>evochain_5</th>\n",
       "      <th>evochain_6</th>\n",
       "      <th>gigantamax</th>\n",
       "      <th>mega_evolution</th>\n",
       "      <th>mega_evolution_alt</th>\n",
       "      <th>description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>I</td>\n",
       "      <td>Bulbasaur</td>\n",
       "      <td>Fushigidane</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>Seed Pokémon</td>\n",
       "      <td>88.14</td>\n",
       "      <td>11.86</td>\n",
       "      <td>0.7</td>\n",
       "      <td>...</td>\n",
       "      <td>Level</td>\n",
       "      <td>Ivysaur</td>\n",
       "      <td>Level</td>\n",
       "      <td>Venusaur</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>There is a plant seed on its back right from t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>I</td>\n",
       "      <td>Ivysaur</td>\n",
       "      <td>Fushigisou</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>Seed Pokémon</td>\n",
       "      <td>88.14</td>\n",
       "      <td>11.86</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Level</td>\n",
       "      <td>Ivysaur</td>\n",
       "      <td>Level</td>\n",
       "      <td>Venusaur</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>When the bulb on its back grows large, it appe...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>I</td>\n",
       "      <td>Venusaur</td>\n",
       "      <td>Fushigibana</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>Seed Pokémon</td>\n",
       "      <td>88.14</td>\n",
       "      <td>11.86</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>Level</td>\n",
       "      <td>Ivysaur</td>\n",
       "      <td>Level</td>\n",
       "      <td>Venusaur</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Gigantamax Venusaur</td>\n",
       "      <td>Mega Venusaur</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Its plant blooms when it is absorbing solar en...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>I</td>\n",
       "      <td>Charmander</td>\n",
       "      <td>Hitokage</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Lizard Pokémon</td>\n",
       "      <td>88.14</td>\n",
       "      <td>11.86</td>\n",
       "      <td>0.6</td>\n",
       "      <td>...</td>\n",
       "      <td>Level</td>\n",
       "      <td>Charmeleon</td>\n",
       "      <td>Level</td>\n",
       "      <td>Charizard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>It has a preference for hot things. When it ra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>I</td>\n",
       "      <td>Charmeleon</td>\n",
       "      <td>Lizardo</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Flame Pokémon</td>\n",
       "      <td>88.14</td>\n",
       "      <td>11.86</td>\n",
       "      <td>1.1</td>\n",
       "      <td>...</td>\n",
       "      <td>Level</td>\n",
       "      <td>Charmeleon</td>\n",
       "      <td>Level</td>\n",
       "      <td>Charizard</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>It has a barbaric nature. In battle, it whips ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 55 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   national_number gen english_name japanese_name primary_type secondary_type  \\\n",
       "0                1   I    Bulbasaur   Fushigidane        grass         poison   \n",
       "1                2   I      Ivysaur    Fushigisou        grass         poison   \n",
       "2                3   I     Venusaur   Fushigibana        grass         poison   \n",
       "3                4   I   Charmander      Hitokage         fire            NaN   \n",
       "4                5   I   Charmeleon       Lizardo         fire            NaN   \n",
       "\n",
       "   classification percent_male percent_female  height_m  ...  evochain_1  \\\n",
       "0    Seed Pokémon        88.14          11.86       0.7  ...      Level    \n",
       "1    Seed Pokémon        88.14          11.86       1.0  ...      Level    \n",
       "2    Seed Pokémon        88.14          11.86       2.0  ...      Level    \n",
       "3  Lizard Pokémon        88.14          11.86       0.6  ...      Level    \n",
       "4   Flame Pokémon        88.14          11.86       1.1  ...      Level    \n",
       "\n",
       "   evochain_2  evochain_3  evochain_4  evochain_5  evochain_6  \\\n",
       "0     Ivysaur      Level     Venusaur         NaN         NaN   \n",
       "1     Ivysaur      Level     Venusaur         NaN         NaN   \n",
       "2     Ivysaur      Level     Venusaur         NaN         NaN   \n",
       "3  Charmeleon      Level    Charizard         NaN         NaN   \n",
       "4  Charmeleon      Level    Charizard         NaN         NaN   \n",
       "\n",
       "            gigantamax  mega_evolution  mega_evolution_alt  \\\n",
       "0                  NaN             NaN                 NaN   \n",
       "1                  NaN             NaN                 NaN   \n",
       "2  Gigantamax Venusaur   Mega Venusaur                 NaN   \n",
       "3                  NaN             NaN                 NaN   \n",
       "4                  NaN             NaN                 NaN   \n",
       "\n",
       "                                         description  \n",
       "0  There is a plant seed on its back right from t...  \n",
       "1  When the bulb on its back grows large, it appe...  \n",
       "2  Its plant blooms when it is absorbing solar en...  \n",
       "3  It has a preference for hot things. When it ra...  \n",
       "4  It has a barbaric nature. In battle, it whips ...  \n",
       "\n",
       "[5 rows x 55 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "456c4bee-7089-4d10-9088-3e6a98806874",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['national_number', 'gen', 'english_name', 'japanese_name',\n",
       "       'primary_type', 'secondary_type', 'classification', 'percent_male',\n",
       "       'percent_female', 'height_m', 'weight_kg', 'capture_rate',\n",
       "       'base_egg_steps', 'hp', 'attack', 'defense', 'sp_attack', 'sp_defense',\n",
       "       'speed', 'abilities_0', 'abilities_1', 'abilities_2',\n",
       "       'abilities_hidden', 'against_normal', 'against_fire', 'against_water',\n",
       "       'against_electric', 'against_grass', 'against_ice', 'against_fighting',\n",
       "       'against_poison', 'against_ground', 'against_flying', 'against_psychic',\n",
       "       'against_bug', 'against_rock', 'against_ghost', 'against_dragon',\n",
       "       'against_dark', 'against_steel', 'against_fairy', 'is_sublegendary',\n",
       "       'is_legendary', 'is_mythical', 'evochain_0', 'evochain_1', 'evochain_2',\n",
       "       'evochain_3', 'evochain_4', 'evochain_5', 'evochain_6', 'gigantamax',\n",
       "       'mega_evolution', 'mega_evolution_alt', 'description'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7b987355-4ff5-417f-814e-bf6b348f1087",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(pokemon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "622e1ac8-03bf-42ae-b641-2afd92830d63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       Bulbasaur\n",
       "1         Ivysaur\n",
       "2        Venusaur\n",
       "3      Charmander\n",
       "4      Charmeleon\n",
       "          ...    \n",
       "893     Regieleki\n",
       "894     Regidrago\n",
       "895     Glastrier\n",
       "896     Spectrier\n",
       "897       Calyrex\n",
       "Name: english_name, Length: 898, dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"english_name\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "64ce5292-7e40-4c5e-8624-f4f03c0ae99f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "898"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(pokemon[\"english_name\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b982c6a1-227e-41c7-bdce-aecf33f4a9cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.series.Series"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(pokemon[\"english_name\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "47ac90e0-9573-45cb-8293-5f544f4e58b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       Bulbasaur\n",
       "1         Ivysaur\n",
       "2        Venusaur\n",
       "3      Charmander\n",
       "4      Charmeleon\n",
       "          ...    \n",
       "893     Regieleki\n",
       "894     Regidrago\n",
       "895     Glastrier\n",
       "896     Spectrier\n",
       "897       Calyrex\n",
       "Name: english_name, Length: 898, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon.english_name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "06690297-62d1-4c06-b80c-d21929d06148",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dtype = data type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "f7bd88b8-573b-44fc-89dd-b1a0ad3ad03f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "national_number         int64\n",
       "gen                    object\n",
       "english_name           object\n",
       "japanese_name          object\n",
       "primary_type           object\n",
       "secondary_type         object\n",
       "classification         object\n",
       "percent_male           object\n",
       "percent_female         object\n",
       "height_m              float64\n",
       "weight_kg             float64\n",
       "capture_rate           object\n",
       "base_egg_steps          int64\n",
       "hp                      int64\n",
       "attack                  int64\n",
       "defense                 int64\n",
       "sp_attack               int64\n",
       "sp_defense              int64\n",
       "speed                   int64\n",
       "abilities_0            object\n",
       "abilities_1            object\n",
       "abilities_2            object\n",
       "abilities_hidden       object\n",
       "against_normal        float64\n",
       "against_fire          float64\n",
       "against_water         float64\n",
       "against_electric      float64\n",
       "against_grass         float64\n",
       "against_ice           float64\n",
       "against_fighting      float64\n",
       "against_poison        float64\n",
       "against_ground        float64\n",
       "against_flying        float64\n",
       "against_psychic       float64\n",
       "against_bug           float64\n",
       "against_rock          float64\n",
       "against_ghost         float64\n",
       "against_dragon        float64\n",
       "against_dark          float64\n",
       "against_steel         float64\n",
       "against_fairy         float64\n",
       "is_sublegendary         int64\n",
       "is_legendary            int64\n",
       "is_mythical             int64\n",
       "evochain_0             object\n",
       "evochain_1             object\n",
       "evochain_2             object\n",
       "evochain_3             object\n",
       "evochain_4             object\n",
       "evochain_5             object\n",
       "evochain_6             object\n",
       "gigantamax             object\n",
       "mega_evolution         object\n",
       "mega_evolution_alt     object\n",
       "description            object\n",
       "dtype: object"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c5260e89-8739-40e9-9200-1dd0befceae3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('O')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"description\"].dtype"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8443ca70-226d-46bd-b14d-063079a469bd",
   "metadata": {},
   "source": [
    "- HP - how many hits a Pokémon can endure\n",
    "- Attack – how hard a Pokémon hits others\n",
    "- Defense – how hard a Pokémon can be hit\n",
    "- Special Attack – similar to attack\n",
    "- Special Defense – similar to defense\n",
    "- Speed – how quick a Pokémon is"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "987eb2e5-726b-479f-b2d7-5ff2bc952d78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['national_number', 'gen', 'english_name', 'japanese_name',\n",
       "       'primary_type', 'secondary_type', 'classification', 'percent_male',\n",
       "       'percent_female', 'height_m', 'weight_kg', 'capture_rate',\n",
       "       'base_egg_steps', 'hp', 'attack', 'defense', 'sp_attack', 'sp_defense',\n",
       "       'speed', 'abilities_0', 'abilities_1', 'abilities_2',\n",
       "       'abilities_hidden', 'against_normal', 'against_fire', 'against_water',\n",
       "       'against_electric', 'against_grass', 'against_ice', 'against_fighting',\n",
       "       'against_poison', 'against_ground', 'against_flying', 'against_psychic',\n",
       "       'against_bug', 'against_rock', 'against_ghost', 'against_dragon',\n",
       "       'against_dark', 'against_steel', 'against_fairy', 'is_sublegendary',\n",
       "       'is_legendary', 'is_mythical', 'evochain_0', 'evochain_1', 'evochain_2',\n",
       "       'evochain_3', 'evochain_4', 'evochain_5', 'evochain_6', 'gigantamax',\n",
       "       'mega_evolution', 'mega_evolution_alt', 'description'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "80ded1b1-d1dd-4fd4-8149-6ba1677343d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       45\n",
       "1       60\n",
       "2       80\n",
       "3       39\n",
       "4       58\n",
       "      ... \n",
       "893     80\n",
       "894    200\n",
       "895    100\n",
       "896    100\n",
       "897    100\n",
       "Name: hp, Length: 898, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"hp\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f0788176-dc35-4d35-90a7-4a040bb08bcf",
   "metadata": {},
   "source": [
    "$$2 * hp + 110$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "22f85309-b6d2-4fde-9159-40a4ea38c665",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "200"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2 * pokemon[\"hp\"][0] + 110"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "901dbaf4-cfe7-4236-bbde-44111a569762",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "310"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2 * pokemon[\"hp\"][897] + 110"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7c8f7bca-defa-4e63-b2dc-c59d237ecc24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      200\n",
       "1      230\n",
       "2      270\n",
       "3      188\n",
       "4      226\n",
       "      ... \n",
       "893    270\n",
       "894    510\n",
       "895    310\n",
       "896    310\n",
       "897    310\n",
       "Name: hp, Length: 898, dtype: int64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2 * pokemon[\"hp\"] + 110  # broadcasting"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "44c36900-cf09-44a1-93e3-1b5794b24853",
   "metadata": {},
   "source": [
    "$$2 * attack + 5$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "82f1d38a-f2c4-4acf-8de2-0ee1877a5cfb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      103\n",
       "1      129\n",
       "2      169\n",
       "3      109\n",
       "4      133\n",
       "      ... \n",
       "893    205\n",
       "894    205\n",
       "895    295\n",
       "896    135\n",
       "897    165\n",
       "Name: attack, Length: 898, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2 * pokemon[\"attack\"] + 5"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c98e640d-2919-4360-8588-00de46660bfc",
   "metadata": {},
   "source": [
    "$$2 * defense + 5$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3885a8a-0fd1-443e-af0f-95b771cf447e",
   "metadata": {},
   "source": [
    "$$2 * sp\\_attack + 5$$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "9fa55715-6822-44ae-a3d2-11554267b637",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    .dataframe thead th {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>attack</th>\n",
       "      <th>defense</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <td>63</td>\n",
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       "      <th>4</th>\n",
       "      <td>64</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <th>893</th>\n",
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       "    <tr>\n",
       "      <th>894</th>\n",
       "      <td>100</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>145</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
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       "      <th>896</th>\n",
       "      <td>65</td>\n",
       "      <td>60</td>\n",
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       "      <th>897</th>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>898 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     attack  defense\n",
       "0        49       49\n",
       "1        62       63\n",
       "2        82       83\n",
       "3        52       43\n",
       "4        64       58\n",
       "..      ...      ...\n",
       "893     100       50\n",
       "894     100       50\n",
       "895     145      130\n",
       "896      65       60\n",
       "897      80       80\n",
       "\n",
       "[898 rows x 2 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\n",
    "    [\"attack\", \"defense\"]\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "760a3f2a-5d00-497c-9549-d0a72b563493",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(pokemon[\n",
    "    [\"attack\", \"defense\"]\n",
    "])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "773f8e73-1dd0-4320-a237-1b2c5bce2950",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  </tbody>\n",
       "</table>\n",
       "<p>898 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     attack  defense\n",
       "0       103      103\n",
       "1       129      131\n",
       "2       169      171\n",
       "3       109       91\n",
       "4       133      121\n",
       "..      ...      ...\n",
       "893     205      105\n",
       "894     205      105\n",
       "895     295      265\n",
       "896     135      125\n",
       "897     165      165\n",
       "\n",
       "[898 rows x 2 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2 * pokemon[\n",
    "    [\"attack\", \"defense\"]  # sp_attack sp_defense speed\n",
    "] + 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "31101954-d3c3-49cf-8857-640314c4aa06",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  </tbody>\n",
       "</table>\n",
       "<p>898 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     attack  defense  sp_attack  sp_defense  speed\n",
       "0       103      103        135         135     95\n",
       "1       129      131        165         165    125\n",
       "2       169      171        205         205    165\n",
       "3       109       91        125         105    135\n",
       "4       133      121        165         135    165\n",
       "..      ...      ...        ...         ...    ...\n",
       "893     205      105        205         105    405\n",
       "894     205      105        205         105    165\n",
       "895     295      265        135         225     65\n",
       "896     135      125        295         165    265\n",
       "897     165      165        165         165    165\n",
       "\n",
       "[898 rows x 5 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats = [\"hp\", \"attack\", \"defense\", \"sp_attack\", \"sp_defense\", \"speed\"]\n",
    "2 * pokemon[stats[1:]] + 5  # Broadcasting works on dataframes too"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "45647385-5f5d-42fa-bb22-426d7cd22fcf",
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = [\n",
    "    \"national_number\",\n",
    "    \"gen\",\n",
    "    \"english_name\",\n",
    "    \"primary_type\",\n",
    "    \"secondary_type\",\n",
    "    \"hp\",\n",
    "    \"attack\",\n",
    "    \"defense\",\n",
    "    \"sp_attack\",\n",
    "    \"sp_defense\",\n",
    "    \"speed\",\n",
    "    \"is_sublegendary\",\n",
    "    \"is_legendary\",\n",
    "    \"is_mythical\",\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "07313595-11f6-4aaa-babf-d46a727b1c73",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>national_number</th>\n",
       "      <th>gen</th>\n",
       "      <th>english_name</th>\n",
       "      <th>primary_type</th>\n",
       "      <th>secondary_type</th>\n",
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       "      <th>attack</th>\n",
       "      <th>defense</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>speed</th>\n",
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       "      <th>is_legendary</th>\n",
       "      <th>is_mythical</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>I</td>\n",
       "      <td>Bulbasaur</td>\n",
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       "      <td>poison</td>\n",
       "      <td>45</td>\n",
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       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>60</td>\n",
       "      <td>62</td>\n",
       "      <td>63</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>I</td>\n",
       "      <td>Venusaur</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>80</td>\n",
       "      <td>82</td>\n",
       "      <td>83</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>I</td>\n",
       "      <td>Charmander</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39</td>\n",
       "      <td>52</td>\n",
       "      <td>43</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>65</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>I</td>\n",
       "      <td>Charmeleon</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58</td>\n",
       "      <td>64</td>\n",
       "      <td>58</td>\n",
       "      <td>80</td>\n",
       "      <td>65</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   national_number gen english_name primary_type secondary_type  hp  attack  \\\n",
       "0                1   I    Bulbasaur        grass         poison  45      49   \n",
       "1                2   I      Ivysaur        grass         poison  60      62   \n",
       "2                3   I     Venusaur        grass         poison  80      82   \n",
       "3                4   I   Charmander         fire            NaN  39      52   \n",
       "4                5   I   Charmeleon         fire            NaN  58      64   \n",
       "\n",
       "   defense  sp_attack  sp_defense  speed  is_sublegendary  is_legendary  \\\n",
       "0       49         65          65     45                0             0   \n",
       "1       63         80          80     60                0             0   \n",
       "2       83        100         100     80                0             0   \n",
       "3       43         60          50     65                0             0   \n",
       "4       58         80          65     80                0             0   \n",
       "\n",
       "   is_mythical  \n",
       "0            0  \n",
       "1            0  \n",
       "2            0  \n",
       "3            0  \n",
       "4            0  "
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[columns].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d73cd836-2b99-494b-9e85-9ff5e67c2507",
   "metadata": {},
   "outputs": [],
   "source": [
    "pokemon = pokemon[columns]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a8bc152c-e0b4-4f40-9080-f4e6f3c7f24f",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Bulbasaur</td>\n",
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       "      <td>83</td>\n",
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       "      <td>58</td>\n",
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       "      <td>58</td>\n",
       "      <td>80</td>\n",
       "      <td>65</td>\n",
       "      <td>80</td>\n",
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       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   national_number gen english_name primary_type secondary_type  hp  attack  \\\n",
       "0                1   I    Bulbasaur        grass         poison  45      49   \n",
       "1                2   I      Ivysaur        grass         poison  60      62   \n",
       "2                3   I     Venusaur        grass         poison  80      82   \n",
       "3                4   I   Charmander         fire            NaN  39      52   \n",
       "4                5   I   Charmeleon         fire            NaN  58      64   \n",
       "\n",
       "   defense  sp_attack  sp_defense  speed  is_sublegendary  is_legendary  \\\n",
       "0       49         65          65     45                0             0   \n",
       "1       63         80          80     60                0             0   \n",
       "2       83        100         100     80                0             0   \n",
       "3       43         60          50     65                0             0   \n",
       "4       58         80          65     80                0             0   \n",
       "\n",
       "   is_mythical  \n",
       "0            0  \n",
       "1            0  \n",
       "2            0  \n",
       "3            0  \n",
       "4            0  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "c769167f-7a3e-45e4-af6f-885d6165594f",
   "metadata": {},
   "outputs": [
    {
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       "      <td>165</td>\n",
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       "</table>\n",
       "<p>898 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     national_number   gen english_name primary_type secondary_type   hp  \\\n",
       "0                  1     I    Bulbasaur        grass         poison   45   \n",
       "1                  2     I      Ivysaur        grass         poison   60   \n",
       "2                  3     I     Venusaur        grass         poison   80   \n",
       "3                  4     I   Charmander         fire            NaN   39   \n",
       "4                  5     I   Charmeleon         fire            NaN   58   \n",
       "..               ...   ...          ...          ...            ...  ...   \n",
       "893              894  VIII    Regieleki     electric            NaN   80   \n",
       "894              895  VIII    Regidrago       dragon            NaN  200   \n",
       "895              896  VIII    Glastrier          ice            NaN  100   \n",
       "896              897  VIII    Spectrier        ghost            NaN  100   \n",
       "897              898  VIII      Calyrex      psychic          grass  100   \n",
       "\n",
       "     attack  defense  sp_attack  sp_defense  speed  is_sublegendary  \\\n",
       "0        49       49         65          65     45                0   \n",
       "1        62       63         80          80     60                0   \n",
       "2        82       83        100         100     80                0   \n",
       "3        52       43         60          50     65                0   \n",
       "4        64       58         80          65     80                0   \n",
       "..      ...      ...        ...         ...    ...              ...   \n",
       "893     100       50        100          50    200                1   \n",
       "894     100       50        100          50     80                1   \n",
       "895     145      130         65         110     30                1   \n",
       "896      65       60        145          80    130                0   \n",
       "897      80       80         80          80     80                0   \n",
       "\n",
       "     is_legendary  is_mythical  final_hp  final_attack  \n",
       "0               0            0       200           103  \n",
       "1               0            0       230           129  \n",
       "2               0            0       270           169  \n",
       "3               0            0       188           109  \n",
       "4               0            0       226           133  \n",
       "..            ...          ...       ...           ...  \n",
       "893             0            0       270           205  \n",
       "894             0            0       510           205  \n",
       "895             0            0       310           295  \n",
       "896             0            0       310           135  \n",
       "897             0            0       310           165  \n",
       "\n",
       "[898 rows x 16 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon.assign(\n",
    "    final_hp = 2 * pokemon[\"hp\"] + 110,\n",
    "    final_attack = 2 * pokemon[\"attack\"] + 5,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "ec040867-e079-44a1-9d8a-7a22eca6a85b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['hp', 'attack', 'defense', 'sp_attack', 'sp_defense', 'speed']"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "dea9308e-c293-4699-854e-aac8d5626f5e",
   "metadata": {},
   "outputs": [
    {
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>310</td>\n",
       "      <td>295</td>\n",
       "      <td>265</td>\n",
       "      <td>135</td>\n",
       "      <td>225</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>310</td>\n",
       "      <td>135</td>\n",
       "      <td>125</td>\n",
       "      <td>295</td>\n",
       "      <td>165</td>\n",
       "      <td>265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>310</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>898 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      hp  attack  defense  sp_attack  sp_defense  speed\n",
       "0    200     103      103        135         135     95\n",
       "1    230     129      131        165         165    125\n",
       "2    270     169      171        205         205    165\n",
       "3    188     109       91        125         105    135\n",
       "4    226     133      121        165         135    165\n",
       "..   ...     ...      ...        ...         ...    ...\n",
       "893  270     205      105        205         105    405\n",
       "894  510     205      105        205         105    165\n",
       "895  310     295      265        135         225     65\n",
       "896  310     135      125        295         165    265\n",
       "897  310     165      165        165         165    165\n",
       "\n",
       "[898 rows x 6 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "2 * pokemon[stats] + (110, 5, 5, 5, 5, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "ff489b7b-1e3a-4e5f-b535-b9f9c9d7114e",
   "metadata": {},
   "outputs": [],
   "source": [
    "pokemon = pokemon.join(\n",
    "    2 * pokemon[stats] + (110, 5, 5, 5, 5, 5),\n",
    "    rsuffix = \"_final\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "847c6942-b2ae-4538-8d87-5cef3e6aba39",
   "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>national_number</th>\n",
       "      <th>gen</th>\n",
       "      <th>english_name</th>\n",
       "      <th>primary_type</th>\n",
       "      <th>secondary_type</th>\n",
       "      <th>hp</th>\n",
       "      <th>attack</th>\n",
       "      <th>defense</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>speed</th>\n",
       "      <th>is_sublegendary</th>\n",
       "      <th>is_legendary</th>\n",
       "      <th>is_mythical</th>\n",
       "      <th>hp_final</th>\n",
       "      <th>attack_final</th>\n",
       "      <th>defense_final</th>\n",
       "      <th>sp_attack_final</th>\n",
       "      <th>sp_defense_final</th>\n",
       "      <th>speed_final</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>I</td>\n",
       "      <td>Bulbasaur</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>45</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>45</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>200</td>\n",
       "      <td>103</td>\n",
       "      <td>103</td>\n",
       "      <td>135</td>\n",
       "      <td>135</td>\n",
       "      <td>95</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>I</td>\n",
       "      <td>Ivysaur</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>60</td>\n",
       "      <td>62</td>\n",
       "      <td>63</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>60</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>230</td>\n",
       "      <td>129</td>\n",
       "      <td>131</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>125</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   national_number gen english_name primary_type secondary_type  hp  attack  \\\n",
       "0                1   I    Bulbasaur        grass         poison  45      49   \n",
       "1                2   I      Ivysaur        grass         poison  60      62   \n",
       "\n",
       "   defense  sp_attack  sp_defense  speed  is_sublegendary  is_legendary  \\\n",
       "0       49         65          65     45                0             0   \n",
       "1       63         80          80     60                0             0   \n",
       "\n",
       "   is_mythical  hp_final  attack_final  defense_final  sp_attack_final  \\\n",
       "0            0       200           103            103              135   \n",
       "1            0       230           129            131              165   \n",
       "\n",
       "   sp_defense_final  speed_final  \n",
       "0               135           95  \n",
       "1               165          125  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "1cd53bd6-8ad8-4bd8-b052-d098df4c31ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      139\n",
       "1      182\n",
       "2      242\n",
       "3      156\n",
       "4      202\n",
       "      ... \n",
       "893    380\n",
       "894    380\n",
       "895    275\n",
       "896    295\n",
       "897    260\n",
       "Length: 898, dtype: int64"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"hp\"] + pokemon[\"attack\"] + pokemon[\"speed\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "14d1da88-2ce1-4b25-b55c-37f9ece67ec9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "61990"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"hp\"].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "96c709eb-e161-4523-bd10-08783578f84b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"hp\"].min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "7f22421c-ecd4-4f54-8845-53c7bd91f719",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "255"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"hp\"].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "b33ceea3-a8fa-49dc-b55e-462fc2b25892",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "69.03118040089088"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"hp\"].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "534425cf-46a6-4b7e-9f6c-ebe47279faaf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hp            69.031180\n",
       "attack        76.544543\n",
       "defense       71.886414\n",
       "sp_attack     69.681514\n",
       "sp_defense    69.876392\n",
       "speed         65.949889\n",
       "dtype: float64"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[stats].mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "6c0d3332-7345-4441-9ff1-87c48e082520",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hp            61990\n",
       "attack        68737\n",
       "defense       64554\n",
       "sp_attack     62574\n",
       "sp_defense    62749\n",
       "speed         59223\n",
       "dtype: int64"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[stats].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "1bc0bfe2-755a-4e5d-9851-fe959e5ae076",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      53.000000\n",
       "1      67.500000\n",
       "2      87.500000\n",
       "3      51.500000\n",
       "4      67.500000\n",
       "         ...    \n",
       "893    96.666667\n",
       "894    96.666667\n",
       "895    96.666667\n",
       "896    96.666667\n",
       "897    83.333333\n",
       "Length: 898, dtype: float64"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[stats].mean(axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09487832-8ea2-4317-b6ff-82490cba7f67",
   "metadata": {},
   "source": [
    "# total"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "2488acd0-ecfa-4d06-8672-e2edc534ce87",
   "metadata": {},
   "outputs": [],
   "source": [
    "pokemon = pokemon.assign(\n",
    "    total = pokemon[stats].sum(axis=1)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "5fa3ea0c-4ce2-4b9b-a621-7fed14d63cfc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "national_number      int64\n",
       "gen                 object\n",
       "english_name        object\n",
       "primary_type        object\n",
       "secondary_type      object\n",
       "hp                   int64\n",
       "attack               int64\n",
       "defense              int64\n",
       "sp_attack            int64\n",
       "sp_defense           int64\n",
       "speed                int64\n",
       "is_sublegendary      int64\n",
       "is_legendary         int64\n",
       "is_mythical          int64\n",
       "hp_final             int64\n",
       "attack_final         int64\n",
       "defense_final        int64\n",
       "sp_attack_final      int64\n",
       "sp_defense_final     int64\n",
       "speed_final          int64\n",
       "total                int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "d9e204df-9bb3-49a2-bd70-88b3a82f4c67",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 1])"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"is_sublegendary\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "de6b8d12-77c4-4c0d-982b-f63baabed516",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      False\n",
       "1      False\n",
       "2      False\n",
       "3      False\n",
       "4      False\n",
       "       ...  \n",
       "893     True\n",
       "894     True\n",
       "895     True\n",
       "896    False\n",
       "897    False\n",
       "Name: is_sublegendary, Length: 898, dtype: bool"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"is_sublegendary\"].astype(\"bool\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "881c7d49-0c35-4bf7-8aa0-a44d371e4f22",
   "metadata": {},
   "outputs": [],
   "source": [
    "pokemon = pokemon.astype(\n",
    "    {\n",
    "        \"is_sublegendary\": \"bool\",\n",
    "        \"is_legendary\": \"bool\",\n",
    "        \"is_mythical\": \"bool\",\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "d55d118c-67b3-423b-86ed-da77132db474",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "is_mythical\n",
       "False    878\n",
       "True      20\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"is_mythical\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "987b9057-68b8-413a-9f3d-f1104090429f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"is_mythical\"].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "aef94d6d-f179-48d9-850f-6c8e9fc328a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\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>national_number</th>\n",
       "      <th>gen</th>\n",
       "      <th>english_name</th>\n",
       "      <th>primary_type</th>\n",
       "      <th>secondary_type</th>\n",
       "      <th>hp</th>\n",
       "      <th>attack</th>\n",
       "      <th>defense</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>...</th>\n",
       "      <th>is_sublegendary</th>\n",
       "      <th>is_legendary</th>\n",
       "      <th>is_mythical</th>\n",
       "      <th>hp_final</th>\n",
       "      <th>attack_final</th>\n",
       "      <th>defense_final</th>\n",
       "      <th>sp_attack_final</th>\n",
       "      <th>sp_defense_final</th>\n",
       "      <th>speed_final</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>151</td>\n",
       "      <td>I</td>\n",
       "      <td>Mew</td>\n",
       "      <td>psychic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>310</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250</th>\n",
       "      <td>251</td>\n",
       "      <td>II</td>\n",
       "      <td>Celebi</td>\n",
       "      <td>psychic</td>\n",
       "      <td>grass</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>310</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>385</td>\n",
       "      <td>III</td>\n",
       "      <td>Jirachi</td>\n",
       "      <td>steel</td>\n",
       "      <td>psychic</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>310</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>385</th>\n",
       "      <td>386</td>\n",
       "      <td>III</td>\n",
       "      <td>Deoxys</td>\n",
       "      <td>psychic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50</td>\n",
       "      <td>150</td>\n",
       "      <td>50</td>\n",
       "      <td>150</td>\n",
       "      <td>50</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>210</td>\n",
       "      <td>305</td>\n",
       "      <td>105</td>\n",
       "      <td>305</td>\n",
       "      <td>105</td>\n",
       "      <td>305</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>489</td>\n",
       "      <td>IV</td>\n",
       "      <td>Phione</td>\n",
       "      <td>water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>270</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>480</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>490</td>\n",
       "      <td>IV</td>\n",
       "      <td>Manaphy</td>\n",
       "      <td>water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>310</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>490</th>\n",
       "      <td>491</td>\n",
       "      <td>IV</td>\n",
       "      <td>Darkrai</td>\n",
       "      <td>dark</td>\n",
       "      <td>NaN</td>\n",
       "      <td>70</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>135</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>250</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>275</td>\n",
       "      <td>185</td>\n",
       "      <td>255</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>492</td>\n",
       "      <td>IV</td>\n",
       "      <td>Shaymin</td>\n",
       "      <td>grass</td>\n",
       "      <td>grass</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>310</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>493</td>\n",
       "      <td>IV</td>\n",
       "      <td>Arceus</td>\n",
       "      <td>normal</td>\n",
       "      <td>NaN</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>350</td>\n",
       "      <td>245</td>\n",
       "      <td>245</td>\n",
       "      <td>245</td>\n",
       "      <td>245</td>\n",
       "      <td>245</td>\n",
       "      <td>720</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>494</td>\n",
       "      <td>V</td>\n",
       "      <td>Victini</td>\n",
       "      <td>psychic</td>\n",
       "      <td>fire</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>310</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>647</td>\n",
       "      <td>V</td>\n",
       "      <td>Keldeo</td>\n",
       "      <td>water</td>\n",
       "      <td>fighting</td>\n",
       "      <td>91</td>\n",
       "      <td>72</td>\n",
       "      <td>90</td>\n",
       "      <td>129</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>292</td>\n",
       "      <td>149</td>\n",
       "      <td>185</td>\n",
       "      <td>263</td>\n",
       "      <td>185</td>\n",
       "      <td>221</td>\n",
       "      <td>580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>648</td>\n",
       "      <td>V</td>\n",
       "      <td>Meloetta</td>\n",
       "      <td>normal</td>\n",
       "      <td>psychic</td>\n",
       "      <td>100</td>\n",
       "      <td>77</td>\n",
       "      <td>77</td>\n",
       "      <td>128</td>\n",
       "      <td>128</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>310</td>\n",
       "      <td>159</td>\n",
       "      <td>159</td>\n",
       "      <td>261</td>\n",
       "      <td>261</td>\n",
       "      <td>185</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648</th>\n",
       "      <td>649</td>\n",
       "      <td>V</td>\n",
       "      <td>Genesect</td>\n",
       "      <td>bug</td>\n",
       "      <td>steel</td>\n",
       "      <td>71</td>\n",
       "      <td>120</td>\n",
       "      <td>95</td>\n",
       "      <td>120</td>\n",
       "      <td>95</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>252</td>\n",
       "      <td>245</td>\n",
       "      <td>195</td>\n",
       "      <td>245</td>\n",
       "      <td>195</td>\n",
       "      <td>203</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>719</td>\n",
       "      <td>VI</td>\n",
       "      <td>Diancie</td>\n",
       "      <td>rock</td>\n",
       "      <td>fairy</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>150</td>\n",
       "      <td>100</td>\n",
       "      <td>150</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>210</td>\n",
       "      <td>205</td>\n",
       "      <td>305</td>\n",
       "      <td>205</td>\n",
       "      <td>305</td>\n",
       "      <td>105</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>720</td>\n",
       "      <td>VI</td>\n",
       "      <td>Hoopa</td>\n",
       "      <td>psychic</td>\n",
       "      <td>ghost</td>\n",
       "      <td>80</td>\n",
       "      <td>110</td>\n",
       "      <td>60</td>\n",
       "      <td>150</td>\n",
       "      <td>130</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>270</td>\n",
       "      <td>225</td>\n",
       "      <td>125</td>\n",
       "      <td>305</td>\n",
       "      <td>265</td>\n",
       "      <td>145</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>720</th>\n",
       "      <td>721</td>\n",
       "      <td>VI</td>\n",
       "      <td>Volcanion</td>\n",
       "      <td>fire</td>\n",
       "      <td>water</td>\n",
       "      <td>80</td>\n",
       "      <td>110</td>\n",
       "      <td>120</td>\n",
       "      <td>130</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>270</td>\n",
       "      <td>225</td>\n",
       "      <td>245</td>\n",
       "      <td>265</td>\n",
       "      <td>185</td>\n",
       "      <td>145</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>800</th>\n",
       "      <td>801</td>\n",
       "      <td>VII</td>\n",
       "      <td>Magearna</td>\n",
       "      <td>steel</td>\n",
       "      <td>fairy</td>\n",
       "      <td>80</td>\n",
       "      <td>95</td>\n",
       "      <td>115</td>\n",
       "      <td>130</td>\n",
       "      <td>115</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>270</td>\n",
       "      <td>195</td>\n",
       "      <td>235</td>\n",
       "      <td>265</td>\n",
       "      <td>235</td>\n",
       "      <td>135</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>801</th>\n",
       "      <td>802</td>\n",
       "      <td>VII</td>\n",
       "      <td>Marshadow</td>\n",
       "      <td>fighting</td>\n",
       "      <td>ghost</td>\n",
       "      <td>90</td>\n",
       "      <td>125</td>\n",
       "      <td>80</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>290</td>\n",
       "      <td>255</td>\n",
       "      <td>165</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>255</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>806</th>\n",
       "      <td>807</td>\n",
       "      <td>VII</td>\n",
       "      <td>Zeraora</td>\n",
       "      <td>electric</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88</td>\n",
       "      <td>112</td>\n",
       "      <td>75</td>\n",
       "      <td>102</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>286</td>\n",
       "      <td>229</td>\n",
       "      <td>155</td>\n",
       "      <td>209</td>\n",
       "      <td>165</td>\n",
       "      <td>291</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>807</th>\n",
       "      <td>808</td>\n",
       "      <td>VII</td>\n",
       "      <td>Meltan</td>\n",
       "      <td>steel</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>55</td>\n",
       "      <td>35</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>202</td>\n",
       "      <td>135</td>\n",
       "      <td>135</td>\n",
       "      <td>115</td>\n",
       "      <td>75</td>\n",
       "      <td>73</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     national_number  gen english_name primary_type secondary_type   hp  \\\n",
       "150              151    I          Mew      psychic            NaN  100   \n",
       "250              251   II       Celebi      psychic          grass  100   \n",
       "384              385  III      Jirachi        steel        psychic  100   \n",
       "385              386  III       Deoxys      psychic            NaN   50   \n",
       "488              489   IV       Phione        water            NaN   80   \n",
       "489              490   IV      Manaphy        water            NaN  100   \n",
       "490              491   IV      Darkrai         dark            NaN   70   \n",
       "491              492   IV      Shaymin        grass          grass  100   \n",
       "492              493   IV       Arceus       normal            NaN  120   \n",
       "493              494    V      Victini      psychic           fire  100   \n",
       "646              647    V       Keldeo        water       fighting   91   \n",
       "647              648    V     Meloetta       normal        psychic  100   \n",
       "648              649    V     Genesect          bug          steel   71   \n",
       "718              719   VI      Diancie         rock          fairy   50   \n",
       "719              720   VI        Hoopa      psychic          ghost   80   \n",
       "720              721   VI    Volcanion         fire          water   80   \n",
       "800              801  VII     Magearna        steel          fairy   80   \n",
       "801              802  VII    Marshadow     fighting          ghost   90   \n",
       "806              807  VII      Zeraora     electric            NaN   88   \n",
       "807              808  VII       Meltan        steel            NaN   46   \n",
       "\n",
       "     attack  defense  sp_attack  sp_defense  ...  is_sublegendary  \\\n",
       "150     100      100        100         100  ...            False   \n",
       "250     100      100        100         100  ...            False   \n",
       "384     100      100        100         100  ...            False   \n",
       "385     150       50        150          50  ...            False   \n",
       "488      80       80         80          80  ...            False   \n",
       "489     100      100        100         100  ...            False   \n",
       "490      90       90        135          90  ...            False   \n",
       "491     100      100        100         100  ...            False   \n",
       "492     120      120        120         120  ...            False   \n",
       "493     100      100        100         100  ...            False   \n",
       "646      72       90        129          90  ...            False   \n",
       "647      77       77        128         128  ...            False   \n",
       "648     120       95        120          95  ...            False   \n",
       "718     100      150        100         150  ...            False   \n",
       "719     110       60        150         130  ...            False   \n",
       "720     110      120        130          90  ...            False   \n",
       "800      95      115        130         115  ...            False   \n",
       "801     125       80         90          90  ...            False   \n",
       "806     112       75        102          80  ...            False   \n",
       "807      65       65         55          35  ...            False   \n",
       "\n",
       "     is_legendary  is_mythical  hp_final  attack_final  defense_final  \\\n",
       "150         False         True       310           205            205   \n",
       "250         False         True       310           205            205   \n",
       "384         False         True       310           205            205   \n",
       "385         False         True       210           305            105   \n",
       "488         False         True       270           165            165   \n",
       "489         False         True       310           205            205   \n",
       "490         False         True       250           185            185   \n",
       "491         False         True       310           205            205   \n",
       "492         False         True       350           245            245   \n",
       "493         False         True       310           205            205   \n",
       "646         False         True       292           149            185   \n",
       "647         False         True       310           159            159   \n",
       "648         False         True       252           245            195   \n",
       "718         False         True       210           205            305   \n",
       "719         False         True       270           225            125   \n",
       "720         False         True       270           225            245   \n",
       "800         False         True       270           195            235   \n",
       "801         False         True       290           255            165   \n",
       "806         False         True       286           229            155   \n",
       "807         False         True       202           135            135   \n",
       "\n",
       "     sp_attack_final  sp_defense_final  speed_final  total  \n",
       "150              205               205          205    600  \n",
       "250              205               205          205    600  \n",
       "384              205               205          205    600  \n",
       "385              305               105          305    600  \n",
       "488              165               165          165    480  \n",
       "489              205               205          205    600  \n",
       "490              275               185          255    600  \n",
       "491              205               205          205    600  \n",
       "492              245               245          245    720  \n",
       "493              205               205          205    600  \n",
       "646              263               185          221    580  \n",
       "647              261               261          185    600  \n",
       "648              245               195          203    600  \n",
       "718              205               305          105    600  \n",
       "719              305               265          145    600  \n",
       "720              265               185          145    600  \n",
       "800              265               235          135    600  \n",
       "801              185               185          255    600  \n",
       "806              209               165          291    600  \n",
       "807              115                75           73    300  \n",
       "\n",
       "[20 rows x 21 columns]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[  pokemon[\"is_mythical\"]  ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "329511fb-4947-42a0-8f4d-152f35fccf47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "20"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"is_legendary\"].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "99fb40eb-4bda-4f46-a3df-df226d0ed375",
   "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>national_number</th>\n",
       "      <th>gen</th>\n",
       "      <th>english_name</th>\n",
       "      <th>primary_type</th>\n",
       "      <th>secondary_type</th>\n",
       "      <th>hp</th>\n",
       "      <th>attack</th>\n",
       "      <th>defense</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>...</th>\n",
       "      <th>is_sublegendary</th>\n",
       "      <th>is_legendary</th>\n",
       "      <th>is_mythical</th>\n",
       "      <th>hp_final</th>\n",
       "      <th>attack_final</th>\n",
       "      <th>defense_final</th>\n",
       "      <th>sp_attack_final</th>\n",
       "      <th>sp_defense_final</th>\n",
       "      <th>speed_final</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>150</td>\n",
       "      <td>I</td>\n",
       "      <td>Mewtwo</td>\n",
       "      <td>psychic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106</td>\n",
       "      <td>110</td>\n",
       "      <td>90</td>\n",
       "      <td>154</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>322</td>\n",
       "      <td>225</td>\n",
       "      <td>185</td>\n",
       "      <td>313</td>\n",
       "      <td>185</td>\n",
       "      <td>265</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>249</td>\n",
       "      <td>II</td>\n",
       "      <td>Lugia</td>\n",
       "      <td>psychic</td>\n",
       "      <td>flying</td>\n",
       "      <td>106</td>\n",
       "      <td>90</td>\n",
       "      <td>130</td>\n",
       "      <td>90</td>\n",
       "      <td>154</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>322</td>\n",
       "      <td>185</td>\n",
       "      <td>265</td>\n",
       "      <td>185</td>\n",
       "      <td>313</td>\n",
       "      <td>225</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>250</td>\n",
       "      <td>II</td>\n",
       "      <td>Ho-Oh</td>\n",
       "      <td>fire</td>\n",
       "      <td>flying</td>\n",
       "      <td>106</td>\n",
       "      <td>130</td>\n",
       "      <td>90</td>\n",
       "      <td>110</td>\n",
       "      <td>154</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>322</td>\n",
       "      <td>265</td>\n",
       "      <td>185</td>\n",
       "      <td>225</td>\n",
       "      <td>313</td>\n",
       "      <td>185</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>382</td>\n",
       "      <td>III</td>\n",
       "      <td>Kyogre</td>\n",
       "      <td>water</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>90</td>\n",
       "      <td>150</td>\n",
       "      <td>140</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>310</td>\n",
       "      <td>205</td>\n",
       "      <td>185</td>\n",
       "      <td>305</td>\n",
       "      <td>285</td>\n",
       "      <td>185</td>\n",
       "      <td>670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>383</td>\n",
       "      <td>III</td>\n",
       "      <td>Groudon</td>\n",
       "      <td>ground</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>150</td>\n",
       "      <td>140</td>\n",
       "      <td>100</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>310</td>\n",
       "      <td>305</td>\n",
       "      <td>285</td>\n",
       "      <td>205</td>\n",
       "      <td>185</td>\n",
       "      <td>185</td>\n",
       "      <td>670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>384</td>\n",
       "      <td>III</td>\n",
       "      <td>Rayquaza</td>\n",
       "      <td>dragon</td>\n",
       "      <td>flying</td>\n",
       "      <td>105</td>\n",
       "      <td>150</td>\n",
       "      <td>90</td>\n",
       "      <td>150</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>320</td>\n",
       "      <td>305</td>\n",
       "      <td>185</td>\n",
       "      <td>305</td>\n",
       "      <td>185</td>\n",
       "      <td>195</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>483</td>\n",
       "      <td>IV</td>\n",
       "      <td>Dialga</td>\n",
       "      <td>steel</td>\n",
       "      <td>dragon</td>\n",
       "      <td>100</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>150</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>310</td>\n",
       "      <td>245</td>\n",
       "      <td>245</td>\n",
       "      <td>305</td>\n",
       "      <td>205</td>\n",
       "      <td>185</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>484</td>\n",
       "      <td>IV</td>\n",
       "      <td>Palkia</td>\n",
       "      <td>water</td>\n",
       "      <td>dragon</td>\n",
       "      <td>90</td>\n",
       "      <td>120</td>\n",
       "      <td>100</td>\n",
       "      <td>150</td>\n",
       "      <td>120</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>290</td>\n",
       "      <td>245</td>\n",
       "      <td>205</td>\n",
       "      <td>305</td>\n",
       "      <td>245</td>\n",
       "      <td>205</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>487</td>\n",
       "      <td>IV</td>\n",
       "      <td>Giratina</td>\n",
       "      <td>ghost</td>\n",
       "      <td>dragon</td>\n",
       "      <td>150</td>\n",
       "      <td>100</td>\n",
       "      <td>120</td>\n",
       "      <td>100</td>\n",
       "      <td>120</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>410</td>\n",
       "      <td>205</td>\n",
       "      <td>245</td>\n",
       "      <td>205</td>\n",
       "      <td>245</td>\n",
       "      <td>185</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>643</td>\n",
       "      <td>V</td>\n",
       "      <td>Reshiram</td>\n",
       "      <td>dragon</td>\n",
       "      <td>fire</td>\n",
       "      <td>100</td>\n",
       "      <td>120</td>\n",
       "      <td>100</td>\n",
       "      <td>150</td>\n",
       "      <td>120</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>310</td>\n",
       "      <td>245</td>\n",
       "      <td>205</td>\n",
       "      <td>305</td>\n",
       "      <td>245</td>\n",
       "      <td>185</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>644</td>\n",
       "      <td>V</td>\n",
       "      <td>Zekrom</td>\n",
       "      <td>dragon</td>\n",
       "      <td>electric</td>\n",
       "      <td>100</td>\n",
       "      <td>150</td>\n",
       "      <td>120</td>\n",
       "      <td>120</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>310</td>\n",
       "      <td>305</td>\n",
       "      <td>245</td>\n",
       "      <td>245</td>\n",
       "      <td>205</td>\n",
       "      <td>185</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>646</td>\n",
       "      <td>V</td>\n",
       "      <td>Kyurem</td>\n",
       "      <td>dragon</td>\n",
       "      <td>ice</td>\n",
       "      <td>125</td>\n",
       "      <td>130</td>\n",
       "      <td>90</td>\n",
       "      <td>130</td>\n",
       "      <td>90</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>360</td>\n",
       "      <td>265</td>\n",
       "      <td>185</td>\n",
       "      <td>265</td>\n",
       "      <td>185</td>\n",
       "      <td>195</td>\n",
       "      <td>660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>715</th>\n",
       "      <td>716</td>\n",
       "      <td>VI</td>\n",
       "      <td>Xerneas</td>\n",
       "      <td>fairy</td>\n",
       "      <td>NaN</td>\n",
       "      <td>126</td>\n",
       "      <td>131</td>\n",
       "      <td>95</td>\n",
       "      <td>131</td>\n",
       "      <td>98</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>362</td>\n",
       "      <td>267</td>\n",
       "      <td>195</td>\n",
       "      <td>267</td>\n",
       "      <td>201</td>\n",
       "      <td>203</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>716</th>\n",
       "      <td>717</td>\n",
       "      <td>VI</td>\n",
       "      <td>Yveltal</td>\n",
       "      <td>dark</td>\n",
       "      <td>flying</td>\n",
       "      <td>126</td>\n",
       "      <td>131</td>\n",
       "      <td>95</td>\n",
       "      <td>131</td>\n",
       "      <td>98</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>362</td>\n",
       "      <td>267</td>\n",
       "      <td>195</td>\n",
       "      <td>267</td>\n",
       "      <td>201</td>\n",
       "      <td>203</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>717</th>\n",
       "      <td>718</td>\n",
       "      <td>VI</td>\n",
       "      <td>Zygarde</td>\n",
       "      <td>dragon</td>\n",
       "      <td>ground</td>\n",
       "      <td>108</td>\n",
       "      <td>100</td>\n",
       "      <td>121</td>\n",
       "      <td>81</td>\n",
       "      <td>95</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>326</td>\n",
       "      <td>205</td>\n",
       "      <td>247</td>\n",
       "      <td>167</td>\n",
       "      <td>195</td>\n",
       "      <td>195</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>789</td>\n",
       "      <td>VII</td>\n",
       "      <td>Cosmog</td>\n",
       "      <td>psychic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43</td>\n",
       "      <td>29</td>\n",
       "      <td>31</td>\n",
       "      <td>29</td>\n",
       "      <td>31</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>196</td>\n",
       "      <td>63</td>\n",
       "      <td>67</td>\n",
       "      <td>63</td>\n",
       "      <td>67</td>\n",
       "      <td>79</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>789</th>\n",
       "      <td>790</td>\n",
       "      <td>VII</td>\n",
       "      <td>Cosmoem</td>\n",
       "      <td>psychic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43</td>\n",
       "      <td>29</td>\n",
       "      <td>131</td>\n",
       "      <td>29</td>\n",
       "      <td>131</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>196</td>\n",
       "      <td>63</td>\n",
       "      <td>267</td>\n",
       "      <td>63</td>\n",
       "      <td>267</td>\n",
       "      <td>79</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>791</td>\n",
       "      <td>VII</td>\n",
       "      <td>Solgaleo</td>\n",
       "      <td>psychic</td>\n",
       "      <td>steel</td>\n",
       "      <td>137</td>\n",
       "      <td>137</td>\n",
       "      <td>107</td>\n",
       "      <td>113</td>\n",
       "      <td>89</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>384</td>\n",
       "      <td>279</td>\n",
       "      <td>219</td>\n",
       "      <td>231</td>\n",
       "      <td>183</td>\n",
       "      <td>199</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>791</th>\n",
       "      <td>792</td>\n",
       "      <td>VII</td>\n",
       "      <td>Lunala</td>\n",
       "      <td>psychic</td>\n",
       "      <td>ghost</td>\n",
       "      <td>137</td>\n",
       "      <td>113</td>\n",
       "      <td>89</td>\n",
       "      <td>137</td>\n",
       "      <td>107</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>384</td>\n",
       "      <td>231</td>\n",
       "      <td>183</td>\n",
       "      <td>279</td>\n",
       "      <td>219</td>\n",
       "      <td>199</td>\n",
       "      <td>680</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>800</td>\n",
       "      <td>VII</td>\n",
       "      <td>Necrozma</td>\n",
       "      <td>psychic</td>\n",
       "      <td>psychic</td>\n",
       "      <td>97</td>\n",
       "      <td>107</td>\n",
       "      <td>101</td>\n",
       "      <td>127</td>\n",
       "      <td>89</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>304</td>\n",
       "      <td>219</td>\n",
       "      <td>207</td>\n",
       "      <td>259</td>\n",
       "      <td>183</td>\n",
       "      <td>163</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>20 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     national_number  gen english_name primary_type secondary_type   hp  \\\n",
       "149              150    I       Mewtwo      psychic            NaN  106   \n",
       "248              249   II        Lugia      psychic         flying  106   \n",
       "249              250   II        Ho-Oh         fire         flying  106   \n",
       "381              382  III       Kyogre        water            NaN  100   \n",
       "382              383  III      Groudon       ground            NaN  100   \n",
       "383              384  III     Rayquaza       dragon         flying  105   \n",
       "482              483   IV       Dialga        steel         dragon  100   \n",
       "483              484   IV       Palkia        water         dragon   90   \n",
       "486              487   IV     Giratina        ghost         dragon  150   \n",
       "642              643    V     Reshiram       dragon           fire  100   \n",
       "643              644    V       Zekrom       dragon       electric  100   \n",
       "645              646    V       Kyurem       dragon            ice  125   \n",
       "715              716   VI      Xerneas        fairy            NaN  126   \n",
       "716              717   VI      Yveltal         dark         flying  126   \n",
       "717              718   VI      Zygarde       dragon         ground  108   \n",
       "788              789  VII       Cosmog      psychic            NaN   43   \n",
       "789              790  VII      Cosmoem      psychic            NaN   43   \n",
       "790              791  VII     Solgaleo      psychic          steel  137   \n",
       "791              792  VII       Lunala      psychic          ghost  137   \n",
       "799              800  VII     Necrozma      psychic        psychic   97   \n",
       "\n",
       "     attack  defense  sp_attack  sp_defense  ...  is_sublegendary  \\\n",
       "149     110       90        154          90  ...            False   \n",
       "248      90      130         90         154  ...            False   \n",
       "249     130       90        110         154  ...            False   \n",
       "381     100       90        150         140  ...            False   \n",
       "382     150      140        100          90  ...            False   \n",
       "383     150       90        150          90  ...            False   \n",
       "482     120      120        150         100  ...            False   \n",
       "483     120      100        150         120  ...            False   \n",
       "486     100      120        100         120  ...            False   \n",
       "642     120      100        150         120  ...            False   \n",
       "643     150      120        120         100  ...            False   \n",
       "645     130       90        130          90  ...            False   \n",
       "715     131       95        131          98  ...            False   \n",
       "716     131       95        131          98  ...            False   \n",
       "717     100      121         81          95  ...            False   \n",
       "788      29       31         29          31  ...            False   \n",
       "789      29      131         29         131  ...            False   \n",
       "790     137      107        113          89  ...            False   \n",
       "791     113       89        137         107  ...            False   \n",
       "799     107      101        127          89  ...            False   \n",
       "\n",
       "     is_legendary  is_mythical  hp_final  attack_final  defense_final  \\\n",
       "149          True        False       322           225            185   \n",
       "248          True        False       322           185            265   \n",
       "249          True        False       322           265            185   \n",
       "381          True        False       310           205            185   \n",
       "382          True        False       310           305            285   \n",
       "383          True        False       320           305            185   \n",
       "482          True        False       310           245            245   \n",
       "483          True        False       290           245            205   \n",
       "486          True        False       410           205            245   \n",
       "642          True        False       310           245            205   \n",
       "643          True        False       310           305            245   \n",
       "645          True        False       360           265            185   \n",
       "715          True        False       362           267            195   \n",
       "716          True        False       362           267            195   \n",
       "717          True        False       326           205            247   \n",
       "788          True        False       196            63             67   \n",
       "789          True        False       196            63            267   \n",
       "790          True        False       384           279            219   \n",
       "791          True        False       384           231            183   \n",
       "799          True        False       304           219            207   \n",
       "\n",
       "     sp_attack_final  sp_defense_final  speed_final  total  \n",
       "149              313               185          265    680  \n",
       "248              185               313          225    680  \n",
       "249              225               313          185    680  \n",
       "381              305               285          185    670  \n",
       "382              205               185          185    670  \n",
       "383              305               185          195    680  \n",
       "482              305               205          185    680  \n",
       "483              305               245          205    680  \n",
       "486              205               245          185    680  \n",
       "642              305               245          185    680  \n",
       "643              245               205          185    680  \n",
       "645              265               185          195    660  \n",
       "715              267               201          203    680  \n",
       "716              267               201          203    680  \n",
       "717              167               195          195    600  \n",
       "788               63                67           79    200  \n",
       "789               63               267           79    400  \n",
       "790              231               183          199    680  \n",
       "791              279               219          199    680  \n",
       "799              259               183          163    600  \n",
       "\n",
       "[20 rows x 21 columns]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[  pokemon[\"is_legendary\"]  ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "c4bb42d4-15c1-4c5c-b01c-dd4a7f177467",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      False\n",
       "1      False\n",
       "2      False\n",
       "3      False\n",
       "4      False\n",
       "       ...  \n",
       "893     True\n",
       "894     True\n",
       "895     True\n",
       "896    False\n",
       "897    False\n",
       "Length: 898, dtype: bool"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# | or\n",
    "# & and\n",
    "# ~ not\n",
    "\n",
    "pokemon[\"is_sublegendary\"] | pokemon[\"is_legendary\"] | pokemon[\"is_mythical\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "a34b460b-e871-4165-8f68-f5f657001ac8",
   "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>national_number</th>\n",
       "      <th>gen</th>\n",
       "      <th>english_name</th>\n",
       "      <th>primary_type</th>\n",
       "      <th>secondary_type</th>\n",
       "      <th>hp</th>\n",
       "      <th>attack</th>\n",
       "      <th>defense</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>...</th>\n",
       "      <th>is_sublegendary</th>\n",
       "      <th>is_legendary</th>\n",
       "      <th>is_mythical</th>\n",
       "      <th>hp_final</th>\n",
       "      <th>attack_final</th>\n",
       "      <th>defense_final</th>\n",
       "      <th>sp_attack_final</th>\n",
       "      <th>sp_defense_final</th>\n",
       "      <th>speed_final</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>I</td>\n",
       "      <td>Bulbasaur</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>45</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>200</td>\n",
       "      <td>103</td>\n",
       "      <td>103</td>\n",
       "      <td>135</td>\n",
       "      <td>135</td>\n",
       "      <td>95</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>I</td>\n",
       "      <td>Ivysaur</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>60</td>\n",
       "      <td>62</td>\n",
       "      <td>63</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>230</td>\n",
       "      <td>129</td>\n",
       "      <td>131</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>125</td>\n",
       "      <td>405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>I</td>\n",
       "      <td>Venusaur</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>80</td>\n",
       "      <td>82</td>\n",
       "      <td>83</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>270</td>\n",
       "      <td>169</td>\n",
       "      <td>171</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>165</td>\n",
       "      <td>525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>I</td>\n",
       "      <td>Charmander</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39</td>\n",
       "      <td>52</td>\n",
       "      <td>43</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>188</td>\n",
       "      <td>109</td>\n",
       "      <td>91</td>\n",
       "      <td>125</td>\n",
       "      <td>105</td>\n",
       "      <td>135</td>\n",
       "      <td>309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>I</td>\n",
       "      <td>Charmeleon</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58</td>\n",
       "      <td>64</td>\n",
       "      <td>58</td>\n",
       "      <td>80</td>\n",
       "      <td>65</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>226</td>\n",
       "      <td>133</td>\n",
       "      <td>121</td>\n",
       "      <td>165</td>\n",
       "      <td>135</td>\n",
       "      <td>165</td>\n",
       "      <td>405</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>888</th>\n",
       "      <td>889</td>\n",
       "      <td>VIII</td>\n",
       "      <td>Zamazenta</td>\n",
       "      <td>fighting</td>\n",
       "      <td>fighting</td>\n",
       "      <td>92</td>\n",
       "      <td>130</td>\n",
       "      <td>115</td>\n",
       "      <td>80</td>\n",
       "      <td>115</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>294</td>\n",
       "      <td>265</td>\n",
       "      <td>235</td>\n",
       "      <td>165</td>\n",
       "      <td>235</td>\n",
       "      <td>281</td>\n",
       "      <td>670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>889</th>\n",
       "      <td>890</td>\n",
       "      <td>VIII</td>\n",
       "      <td>Eternatus</td>\n",
       "      <td>poison</td>\n",
       "      <td>dragon</td>\n",
       "      <td>140</td>\n",
       "      <td>85</td>\n",
       "      <td>95</td>\n",
       "      <td>145</td>\n",
       "      <td>95</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>390</td>\n",
       "      <td>175</td>\n",
       "      <td>195</td>\n",
       "      <td>295</td>\n",
       "      <td>195</td>\n",
       "      <td>265</td>\n",
       "      <td>690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>893</td>\n",
       "      <td>VIII</td>\n",
       "      <td>Zarude</td>\n",
       "      <td>dark</td>\n",
       "      <td>grass</td>\n",
       "      <td>105</td>\n",
       "      <td>120</td>\n",
       "      <td>105</td>\n",
       "      <td>70</td>\n",
       "      <td>95</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>320</td>\n",
       "      <td>245</td>\n",
       "      <td>215</td>\n",
       "      <td>145</td>\n",
       "      <td>195</td>\n",
       "      <td>215</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>897</td>\n",
       "      <td>VIII</td>\n",
       "      <td>Spectrier</td>\n",
       "      <td>ghost</td>\n",
       "      <td>NaN</td>\n",
       "      <td>100</td>\n",
       "      <td>65</td>\n",
       "      <td>60</td>\n",
       "      <td>145</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>310</td>\n",
       "      <td>135</td>\n",
       "      <td>125</td>\n",
       "      <td>295</td>\n",
       "      <td>165</td>\n",
       "      <td>265</td>\n",
       "      <td>580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>898</td>\n",
       "      <td>VIII</td>\n",
       "      <td>Calyrex</td>\n",
       "      <td>psychic</td>\n",
       "      <td>grass</td>\n",
       "      <td>100</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>310</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>813 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     national_number   gen english_name primary_type secondary_type   hp  \\\n",
       "0                  1     I    Bulbasaur        grass         poison   45   \n",
       "1                  2     I      Ivysaur        grass         poison   60   \n",
       "2                  3     I     Venusaur        grass         poison   80   \n",
       "3                  4     I   Charmander         fire            NaN   39   \n",
       "4                  5     I   Charmeleon         fire            NaN   58   \n",
       "..               ...   ...          ...          ...            ...  ...   \n",
       "888              889  VIII    Zamazenta     fighting       fighting   92   \n",
       "889              890  VIII    Eternatus       poison         dragon  140   \n",
       "892              893  VIII       Zarude         dark          grass  105   \n",
       "896              897  VIII    Spectrier        ghost            NaN  100   \n",
       "897              898  VIII      Calyrex      psychic          grass  100   \n",
       "\n",
       "     attack  defense  sp_attack  sp_defense  ...  is_sublegendary  \\\n",
       "0        49       49         65          65  ...            False   \n",
       "1        62       63         80          80  ...            False   \n",
       "2        82       83        100         100  ...            False   \n",
       "3        52       43         60          50  ...            False   \n",
       "4        64       58         80          65  ...            False   \n",
       "..      ...      ...        ...         ...  ...              ...   \n",
       "888     130      115         80         115  ...            False   \n",
       "889      85       95        145          95  ...            False   \n",
       "892     120      105         70          95  ...            False   \n",
       "896      65       60        145          80  ...            False   \n",
       "897      80       80         80          80  ...            False   \n",
       "\n",
       "     is_legendary  is_mythical  hp_final  attack_final  defense_final  \\\n",
       "0           False        False       200           103            103   \n",
       "1           False        False       230           129            131   \n",
       "2           False        False       270           169            171   \n",
       "3           False        False       188           109             91   \n",
       "4           False        False       226           133            121   \n",
       "..            ...          ...       ...           ...            ...   \n",
       "888         False        False       294           265            235   \n",
       "889         False        False       390           175            195   \n",
       "892         False        False       320           245            215   \n",
       "896         False        False       310           135            125   \n",
       "897         False        False       310           165            165   \n",
       "\n",
       "     sp_attack_final  sp_defense_final  speed_final  total  \n",
       "0                135               135           95    318  \n",
       "1                165               165          125    405  \n",
       "2                205               205          165    525  \n",
       "3                125               105          135    309  \n",
       "4                165               135          165    405  \n",
       "..               ...               ...          ...    ...  \n",
       "888              165               235          281    670  \n",
       "889              295               195          265    690  \n",
       "892              145               195          215    600  \n",
       "896              295               165          265    580  \n",
       "897              165               165          165    500  \n",
       "\n",
       "[813 rows x 21 columns]"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\n",
    "    ~(pokemon[\"is_sublegendary\"]\n",
    "    | pokemon[\"is_legendary\"]\n",
    "    | pokemon[\"is_mythical\"])\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "015a2252-9b47-4007-9ccf-19e62e3901a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "18"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"primary_type\"].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "ffbf060f-335d-4b6e-8958-907211e55b0d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       Bulbasaur\n",
       "1         Ivysaur\n",
       "2        Venusaur\n",
       "3      Charmander\n",
       "4      Charmeleon\n",
       "          ...    \n",
       "893     Regieleki\n",
       "894     Regidrago\n",
       "895     Glastrier\n",
       "896     Spectrier\n",
       "897       Calyrex\n",
       "Name: english_name, Length: 898, dtype: object"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"english_name\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "afb2311b-a350-4891-bca8-6d96117e0f25",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['grass', 'fire', 'water', 'bug', 'normal', 'poison', 'electric',\n",
       "       'ground', 'fairy', 'fighting', 'psychic', 'rock', 'ghost', 'ice',\n",
       "       'dragon', 'dark', 'steel', 'flying'], dtype=object)"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"primary_type\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "6f65d3c2-ef10-4c08-872e-53fa195607c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         grass\n",
       "1         grass\n",
       "2         grass\n",
       "3          fire\n",
       "4          fire\n",
       "         ...   \n",
       "893    electric\n",
       "894      dragon\n",
       "895         ice\n",
       "896       ghost\n",
       "897     psychic\n",
       "Name: primary_type, Length: 898, dtype: object"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"primary_type\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "554da3b6-ba43-428b-a544-2a4f42cf1761",
   "metadata": {},
   "outputs": [],
   "source": [
    "pokemon = pokemon.astype(\n",
    "    {\n",
    "        \"primary_type\": \"category\",\n",
    "        \"secondary_type\": \"category\",\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "51256b83-6a92-48e8-9cc4-0c39ebce6918",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CategoricalDtype(categories=['bug', 'dark', 'dragon', 'electric', 'fairy', 'fighting',\n",
       "                  'fire', 'flying', 'ghost', 'grass', 'ground', 'ice',\n",
       "                  'normal', 'poison', 'psychic', 'rock', 'steel', 'water'],\n",
       ", ordered=False, categories_dtype=object)"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"primary_type\"].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "7c4ca4cb-0694-452b-9536-4ac6fc578c13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CategoricalDtype(categories=['bug', 'dark', 'dragon', 'electric', 'fairy', 'fighting',\n",
       "                  'fire', 'flying', 'ghost', 'grass', 'ground', 'ice',\n",
       "                  'normal', 'poison', 'psychic', 'rock', 'steel', 'water'],\n",
       ", ordered=False, categories_dtype=object)"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"secondary_type\"].dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "43c312b6-9d58-4ef8-a6ae-a375d7daa6ff",
   "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>national_number</th>\n",
       "      <th>gen</th>\n",
       "      <th>english_name</th>\n",
       "      <th>primary_type</th>\n",
       "      <th>secondary_type</th>\n",
       "      <th>hp</th>\n",
       "      <th>attack</th>\n",
       "      <th>defense</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>...</th>\n",
       "      <th>is_sublegendary</th>\n",
       "      <th>is_legendary</th>\n",
       "      <th>is_mythical</th>\n",
       "      <th>hp_final</th>\n",
       "      <th>attack_final</th>\n",
       "      <th>defense_final</th>\n",
       "      <th>sp_attack_final</th>\n",
       "      <th>sp_defense_final</th>\n",
       "      <th>speed_final</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>I</td>\n",
       "      <td>Bulbasaur</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>45</td>\n",
       "      <td>49</td>\n",
       "      <td>49</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>200</td>\n",
       "      <td>103</td>\n",
       "      <td>103</td>\n",
       "      <td>135</td>\n",
       "      <td>135</td>\n",
       "      <td>95</td>\n",
       "      <td>318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>I</td>\n",
       "      <td>Ivysaur</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>60</td>\n",
       "      <td>62</td>\n",
       "      <td>63</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>230</td>\n",
       "      <td>129</td>\n",
       "      <td>131</td>\n",
       "      <td>165</td>\n",
       "      <td>165</td>\n",
       "      <td>125</td>\n",
       "      <td>405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>I</td>\n",
       "      <td>Venusaur</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>80</td>\n",
       "      <td>82</td>\n",
       "      <td>83</td>\n",
       "      <td>100</td>\n",
       "      <td>100</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>270</td>\n",
       "      <td>169</td>\n",
       "      <td>171</td>\n",
       "      <td>205</td>\n",
       "      <td>205</td>\n",
       "      <td>165</td>\n",
       "      <td>525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>I</td>\n",
       "      <td>Charmander</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39</td>\n",
       "      <td>52</td>\n",
       "      <td>43</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>188</td>\n",
       "      <td>109</td>\n",
       "      <td>91</td>\n",
       "      <td>125</td>\n",
       "      <td>105</td>\n",
       "      <td>135</td>\n",
       "      <td>309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>I</td>\n",
       "      <td>Charmeleon</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58</td>\n",
       "      <td>64</td>\n",
       "      <td>58</td>\n",
       "      <td>80</td>\n",
       "      <td>65</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>226</td>\n",
       "      <td>133</td>\n",
       "      <td>121</td>\n",
       "      <td>165</td>\n",
       "      <td>135</td>\n",
       "      <td>165</td>\n",
       "      <td>405</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   national_number gen english_name primary_type secondary_type  hp  attack  \\\n",
       "0                1   I    Bulbasaur        grass         poison  45      49   \n",
       "1                2   I      Ivysaur        grass         poison  60      62   \n",
       "2                3   I     Venusaur        grass         poison  80      82   \n",
       "3                4   I   Charmander         fire            NaN  39      52   \n",
       "4                5   I   Charmeleon         fire            NaN  58      64   \n",
       "\n",
       "   defense  sp_attack  sp_defense  ...  is_sublegendary  is_legendary  \\\n",
       "0       49         65          65  ...            False         False   \n",
       "1       63         80          80  ...            False         False   \n",
       "2       83        100         100  ...            False         False   \n",
       "3       43         60          50  ...            False         False   \n",
       "4       58         80          65  ...            False         False   \n",
       "\n",
       "   is_mythical  hp_final  attack_final  defense_final  sp_attack_final  \\\n",
       "0        False       200           103            103              135   \n",
       "1        False       230           129            131              165   \n",
       "2        False       270           169            171              205   \n",
       "3        False       188           109             91              125   \n",
       "4        False       226           133            121              165   \n",
       "\n",
       "   sp_defense_final  speed_final  total  \n",
       "0               135           95    318  \n",
       "1               165          125    405  \n",
       "2               205          165    525  \n",
       "3               105          135    309  \n",
       "4               135          165    405  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv(\"pokemon.csv\")\n",
    "\n",
    "pokemon = data[\n",
    "    [\n",
    "        \"national_number\",\n",
    "        \"gen\",\n",
    "        \"english_name\",\n",
    "        \"primary_type\",\n",
    "        \"secondary_type\",\n",
    "        \"hp\",\n",
    "        \"attack\",\n",
    "        \"defense\",\n",
    "        \"sp_attack\",\n",
    "        \"sp_defense\",\n",
    "        \"speed\",\n",
    "        \"is_sublegendary\",\n",
    "        \"is_legendary\",\n",
    "        \"is_mythical\",\n",
    "    ]\n",
    "].astype(\n",
    "    {\n",
    "        \"gen\": \"category\",\n",
    "        \"primary_type\": \"category\",\n",
    "        \"secondary_type\": \"category\",\n",
    "        \"is_sublegendary\": \"bool\",\n",
    "        \"is_legendary\": \"bool\",\n",
    "        \"is_mythical\": \"bool\",\n",
    "    }\n",
    ").join(\n",
    "    2 * data[stats] + (110, 5, 5, 5, 5, 5),\n",
    "    rsuffix=\"_final\",\n",
    ").assign(\n",
    "    total = data[stats].sum(axis=1),\n",
    "    # legendary = data[[\"is_sublegendary\", \"is_legendary\", \"is_mythical\"]].any(axis=1)\n",
    ")\n",
    "\n",
    "pokemon.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "d5157f65-5d58-4444-b7da-7dcd86e0c128",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "f66096a2-f144-4300-9174-b986707e0367",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "76534f4d-903e-4120-83de-ff35ac698ab2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matplotlib.figure.Figure"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(fig)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "id": "97b0ed6a-cbfd-4541-834e-6f03eaccd3e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matplotlib.axes._axes.Axes"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "f0dee00a-f7a9-40dc-bcff-11f805220f8d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x153e0da00>]"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot([10, 42, 7300], range(3))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c6d4ea74-d6a1-4d28-b5eb-4b9167711037",
   "metadata": {},
   "source": [
    " - 0 -> 5\n",
    " - 1 -> 6\n",
    " - 2 -> 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "id": "969b3b25-a669-4002-aa54-a9ae661647e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x153e90950>]"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(range(3), (5, 6, 5))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "3f0708f0-e595-40f1-92d3-c55ce5065046",
   "metadata": {},
   "outputs": [],
   "source": [
    "pokemon = pokemon.astype({\"gen\": \"category\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "de2df295-1bf3-4c3d-89e6-65227cce3ca3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         I\n",
       "1         I\n",
       "2         I\n",
       "3         I\n",
       "4         I\n",
       "       ... \n",
       "893    VIII\n",
       "894    VIII\n",
       "895    VIII\n",
       "896    VIII\n",
       "897    VIII\n",
       "Name: gen, Length: 898, dtype: category\n",
       "Categories (8, object): ['I', 'II', 'III', 'IV', 'V', 'VI', 'VII', 'VIII']"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"gen\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "b5f8b81a-7999-4770-a846-432d1b2d61c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "gen\n",
       "I       151\n",
       "II      100\n",
       "III     135\n",
       "IV      107\n",
       "V       156\n",
       "VI       72\n",
       "VII      88\n",
       "VIII     89\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"gen\"].value_counts(sort=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "id": "97337a6a-a36d-4614-915a-67f740f84b92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x153e31c10>]"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "ax.plot(\n",
    "    pokemon[\"gen\"].value_counts(sort=False)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "id": "69a60e44-c489-4165-9ede-5cd6d3ca197e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x153d53da0>]"
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x225 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(4, 2.25),\n",
    "    facecolor=\"whitesmoke\",\n",
    "    layout=\"constrained\",\n",
    ")\n",
    "ax.plot(\n",
    "    pokemon[\"gen\"].value_counts(sort=False)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "a1a3e18c-06f7-4383-a0db-3157cc2e93fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x225 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(4, 2.25),\n",
    "    facecolor=\"whitesmoke\",\n",
    "    layout=\"constrained\",\n",
    ")\n",
    "ax.plot(\n",
    "    pokemon[\"gen\"].value_counts(sort=False), marker=\"o\"\n",
    ")\n",
    "ax.plot(\n",
    "    pokemon[\"gen\"].value_counts(sort=False) + 10, marker=\"x\"\n",
    ")\n",
    "ax.plot(\n",
    "    pokemon[\"gen\"].value_counts(sort=False) + 20, marker=\"<\"\n",
    ")\n",
    "\n",
    "title = ax.set_title(\"Pokémon per generation\")\n",
    "_ = ax.set_xlabel(\"Generation\")\n",
    "_ = ax.set_ylabel(\"Count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "id": "76715c1e-a695-4252-adb4-886d8e183763",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 8 artists>"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 400x225 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(4, 2.25),\n",
    "    facecolor=\"whitesmoke\",\n",
    "    layout=\"constrained\",\n",
    ")\n",
    "\n",
    "ax.bar(\n",
    "    range(1, 9),\n",
    "    pokemon[\"gen\"].value_counts(sort=False),\n",
    "    tick_label=pokemon[\"gen\"].cat.categories,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "id": "eb94ff3b-b131-4961-9829-798d584c491a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['I', 'II', 'III', 'IV', 'V', 'VI', 'VII', 'VIII'], dtype='object')"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"gen\"].cat.categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "id": "75b6e1ba-c208-405e-9b77-c1dcfb3712ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         grass\n",
       "1         grass\n",
       "2         grass\n",
       "3          fire\n",
       "4          fire\n",
       "         ...   \n",
       "893    electric\n",
       "894      dragon\n",
       "895         ice\n",
       "896       ghost\n",
       "897     psychic\n",
       "Name: primary_type, Length: 898, dtype: category\n",
       "Categories (18, object): ['bug', 'dark', 'dragon', 'electric', ..., 'psychic', 'rock', 'steel', 'water']"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"primary_type\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "ac1c723f-7f87-4930-95b9-94e448bb4add",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "primary_type\n",
       "water       123\n",
       "normal      109\n",
       "grass        86\n",
       "bug          75\n",
       "fire         58\n",
       "psychic      58\n",
       "rock         50\n",
       "electric     49\n",
       "fighting     36\n",
       "dark         36\n",
       "ground       35\n",
       "poison       35\n",
       "ghost        31\n",
       "dragon       31\n",
       "steel        30\n",
       "ice          28\n",
       "fairy        21\n",
       "flying        7\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon[\"primary_type\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "id": "d1e68a25-08db-4ed4-838f-747ff9c0d191",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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GRsLAwACTJ0+GhoYGFi9eXGgbTk5O2LZtGxYtWoROnTrBwcEBtra2RVqMOWLECKXvM+f7a9++Pf74448Su3DlnQ0AV1dX+Pv7o1GjRrC0tMQXX3yR6/Gcf8DKmJqaivo+CoUC165dE/VcTU1NnD9/Hg0aNMCCBQtw/fp1bN++HRERERgyZAji4uJEtVOtWjVJToJNmzbF77//DisrK2hpaSEsLAwGBgaIjY1Fhw4d8PjxY1H9AQBtbW2cOXMGjRo1ynU8NjYWX375paggAQCTJk3C1atX8ddffwnVbE+fPo3hw4djzpw5uSqF50dPTw979uzJtd0FAISFhWHo0KF48OCBqL4cPnwY8+bNw7Rp09CqVSsAWUN0Pj4+8PDwQFpaGjw9PTF06FAsWrSowLZu376Nnj17Yvr06XB2dsbr168xcOBAVKhQAX/++SeqVq0qqk+jRo1Cp06dMGnSpFzH165di8DAQOzcuVNUOwCwefNmTJ06FbVr14aWllau3ymFQoGzZ8/m+9rsE3xUVBRMTExQocL/XeOmp6fj7t276NmzJ7Zu3SqqL+3atUPjxo0xd+5caGtr5/n9Lihw3bt3T9T3AAB9fX3Rzx0/fjyePXuG1atXo2XLlsLfx4kTJ+Dh4aHStvcRERHYvn07du/ejfT0dNjZ2WHMmDGwtLQU3UZgYCB++ukn/PDDD2jdujUA4MKFC/Dy8sKsWbNQo0YNuLi4oE2bNlizZo3odouDdzYArl+/LlzdFmXu5vr16xL3KKtgaUpK1mZIgYGBGDVqFACgVq1aKl1x/fHHH6JOgj/99FOBJ8GEhATUrVs3z/Hk5GSVt3nI76oxMTER6enpottZvXo1Ro8ejeHDh+PAgQMICwuDnZ0dPD094eTkJKqNbt264YcffsDOnTuFk9TLly/x448/olu3bqL7snTpUixduhQ9e/YUjpmbm6NevXrw8vLCqVOnULVqVXh4eBQabAwNDbF//37069cP5cqVw+7du6Gmpoa9e/eKDjQAcPLkSaV36z179oSnp6fodoCsC64ffvgBrq6uKr0OAAYMGAAAiIyMRI8ePVCtWjXhsexhUzF3bdliY2Oxffv2PBcrYqgSQFQREBCAAwcO5BnWNTIyUinAAYClpSUsLS2xaNEirF+/HvPmzcOGDRtgZmaGyZMnw97evtC/uZkzZ8LX1xft2rUTjnXt2hWVK1eGi4sLLly4gKVLl2Ly5Mkq9a04GGyAAsfAS4u1tTVmz54Na2trXLhwQdgy+9atWwVuUPQhqU6CLVu2xLFjx4Rfzuxfdj8/P5WrdXfo0AHLly/Hli1bUL58eQBZV7je3t6wtrYW3U65cuXg5+eHIUOGoF+/frh69Sp++umnPFfyBVm0aBF69eoFExMTNG/eHEDWSVFTUxMbN24U3c61a9eUnsj09fWFu9lmzZqJvgO0sLDAnj17MGDAALRu3Rp79+5FlSpVRPcHyLowOXz4MKZOnZrr+OHDh/MMPRbm5cuXGDJkiEqvyTZnzhwAWT+L4cOHF7tGV+vWrREbG1ukYPMhf39//Pbbb7hz5w4CAwOhr68PX19fNGzYEP379xfdTkpKSp4REQD477//VH6/qampOHjwILZu3Yp//vkHVlZWsLe3x8OHD/Hjjz8iMDAQW7ZsKbCNuLg4pXvXqKurC6MiRkZGeP78uUp9Kw4GmxyKM7mX04MHD3DkyBHEx8fj/fv3uR4rbEgu2y+//IJp06bhzz//xP/+9z/Uq1cPQFbiQM7AURipToI//vgjBg8ejBs3biAtLQ2rVq3CjRs3EB4ejuPHj4vuDwB4eXmhd+/eaNGihZAAcfbsWSQmJuLo0aMFvlbZHNTcuXMxduxYjBw5Eh06dBCeI2aCt169eggPD8fOnTsRFRWFypUr4+uvv4adnR0qVqwo+j0ZGxtj+fLl8PX1RaVKlQBknTSWL18OY2NjAMDDhw/zTI5ny2/OR01NDY8fP0b37t2FYwUNWeU0d+5cODk5ISQkBG3atAGQNS924sQJ+Pr6in5vADB48GAEBARg/PjxKr0upy5duiAhIUG4WLpw4QJ27twJExMTjBs3TnQ7kydPxpw5c/DkyROYm5vnGpYDxE/sb9iwAfPnz4eTkxOWLl0q3FXXqFEDq1atUinYtG/fHv7+/sIdo0KhQEZGBlasWIFOnTqJaiMiIgLbtm3D7t27oVAoMGrUKCxZsgRNmjQRnjNgwABR7VlaWmLu3LnYsGGDMCLx7NkzfP/998IIR0xMDHR1dUW/x+LinA2yJvfGjBmDU6dO5ZrcmzRpkujJvWyBgYGws7NDw4YNER0dDVNTU2Eis3nz5iV+F2VtbQ0LC4s8J0EnJydERUUhNDQUoaGh+OabbwodDoyLi4O3tzeioqKQnJyM5s2bY8aMGTA3N1e5X48ePcLatWsRFRWFKlWqwNzcHBMnTiz0ijt7DirnxGfOfxd1gre4sofwFAqF8PO4du0aMjIysGfPHlhZWcHf3x9PnjzB9OnT87xelW3Ps+8UxDh//jxWr16NmzdvAgCaNGmCKVOmCMFHrGXLlsHX1xe9e/eGmZlZnkAsJvGlZ8+ecHR0xKhRo/D48WO0aNECpqamiI2NxaRJk0QlGQDINQyXrSife6tWrfDjjz9iwIABueYhr127hr59+6o0/HXt2jXY2NigRYsWCA4Oho2NDf7991+8ePECAQEBMDQ0LLQNdXV1dOvWDQ4ODhgwYIDSi53k5GTMmDGj0ASh6OhojBgxAnfu3BECyv3792FgYICdO3eicePGOHToEF6/fi0M0cuNwQbSTu516tQJvXr1wvfffy/8AtetWxfjxo1Dz5498e2334pqJyIiAhUrVhROXIcPH8bWrVvRtGlTzJ07VwgchSnuSRDICk4uLi6YPXt2iadLfkiKCd4jR46gV69eqFixYr4potlsbGxEf7/Xr19j586duHXrFoCsux07OzuVtuJNT09HaGgozM3NS2Q3WrEKSoIRm/hSv359BAYGwtjYGKtXr8bevXsREBCAkydPYurUqaKTZwr7HRA7L1O7dm1ERERAX18/V7CJiYlB27ZtVR5ievXqFdatW4eoqCgkJSWhRYsWmDBhQqHbJQNZn/uOHTtgY2MjWXZYRkYGTp48KcxDN27cGN27d0e5cqWzvJLBBoCBgQEOHDiAZs2a5fqli4uLQ9u2bfNsYV0QLS0thIaGwtDQEPXr18eJEydgamqKyMhIjBgxAv/++6+odr788ku4urpi0KBBiIuLQ+vWrTFgwABcunQJvXv3xrJly0T3SYqToI6ODkJDQ4scbKKiomBmZoZy5coVutahKOsbVFGtWjXcvn0bmpqaSq+Ss5X03VG2WrVq4dKlS5IE9qKuR5FDzgzL4cOHo127dnB1dUV8fDxatGhRovMHQNadzU8//YT+/fvn+rtfs2YNtm7dKnq4UipSfu5lEedsIO3k3hdffCHM02hrayMuLk64KlTljykmJgbNmjUDAOzbtw8dOnTAli1bEBoaCgcHB5WCjbq6erHG2gGgf//+OHTokKh0YmWsra2FE3xBax1UOcEvW7YMmpqacHBwyHXcz88PCQkJ+WZOJSUlKf3/4iruOpRspqamiIuLK/ZJpzjrUQqSc8hSFSYmJti4cSP69OmDf/75B/PmzQOQNaSqasLC7du3hXnD7LanTJkiargqm4uLC6ZPn463b98iMzMTFy5cwO7du+Ht7Y1Vq1ap1J/ff/8d1apVy5NEsW/fPqSkpODrr78utA2pPvdsgYGBCAoKUvr7uHbtWkm+hyoYbCDN5F42KysrhIaGomnTpujVqxc8PDxw7do1HDhwQKVx8szMTOEXJDAwEH379gUA6OrqqhS0CisDMnr0aFHtGBkZYfHixQgLC0OLFi3ypOAWNmZ//fp1YaJSqlTxTZs2YfPmzXmOm5qawsHBodA03dTUVAwcOBA+Pj7Frh5R2DoUVYKNp6cn5syZA09PT6U/6+rVq4tq57vvvkPLli2xd+9epetRVLV9+3b8+uuviI2NBZD1OzFt2jTRY/5eXl746quv8Ouvv2L06NHCxdSRI0eEtSBinDhxAnZ2dmjWrJmQ2hsWFobWrVtj9+7duZIpCjJ27FhUrlwZP//8M1JSUuDo6AgdHR0sW7YMw4cPF90fAFi+fDl8fHzyHK9bty5cXFxEBRupPncgaw5w0aJFaNmypSSfvRQ4jAZpJveyxcXFISkpCRYWFkhOToaHhwfCwsKEk7XY8eS+fftCV1cXXbt2xZQpU3Dx4kU0atQIISEhmDBhgujhuA/TpFNTU5GSkoJKlSrhiy++EF2yRIoxe6nlN+wQFxeHVq1a4cWLF4W2IVWpoqZNm+Lbb78t0jqUD+Uc2st5klB1Arxu3boICwuTJEXYx8cHXl5emDhxopCefvbsWaxfvx6enp6i73jT09ORmJiYa17i7t27qFKlSr6Zeh+ytrZGjx498qwhmjdvHgICAoo0/JWSkoKkpCTRffhQrVq1EBERkafU0t27d9GyZUtRF4hSfe5A1lqt+fPnl9jkvxi8swFgZmaGK1euYN26dVBXV0dSUhJsbW1FT+7lZGBgIPx/1apVlV7tiLF06VKMGzcOhw8fxqxZs4QTxv79+/Osdi+IshXwMTExmDp1KqZNmya6HakXrkox5KSrq6t0Hik0NFT051bcUkXZirMO5UNSZSxKuR5l7dq1wh1JNhsbG5iYmGDhwoWig0358uWRlpYmBITGjRuLroWX7ebNm0qrDdjb26s8/JWWloZTp04hLi4OdnZ2ALKG9dTV1Qucz/tQ3bp1cfXq1TzvJSoqSvQQoZSZqqmpqbkWdJYFDDYA4uPjoauri1mzZil9rKhF8ZKSkvKcSMXeCltYWCitRrxgwQJhIWRRGRkZwcvLC9988w0iIiKK1VZRSDXkNHbsWLi7uyM1NRVdunQBkDXkOG/ePJWutDdu3IjAwMAilSrKJsU6lGxffvllsdsApFuPAgCPHz9WevJq166d6IWqycnJQmmo7L+L8uXLY9SoUVi+fLnSeVNl6tSpg8jIyDx3o5GRkUqrXOTn3r17GDRoEOLj4/Hu3Tt069YN6urqWL58Od6/f6/SheLw4cPh5uaGatWqCYkXISEhmDlzJoYNGyaqDak+dwBwcHDArl27MHv2bMnaLC4GG0DI9VdWjdbU1FSl29c7d+5gxowZCAkJwdu3b4XjUq39KKyIo1jly5fHo0ePCnyOu7s7PD09UbVq1UILN4o9KWc/t6ilT3KaPn06Xrx4genTpwtJGZUrV8aMGTMwc+ZMUW0Ut1RRNkNDQ3h5eeHcuXNFXofyoZSUFKULg8UGiewhlJwlSYq6DsnQ0BD79u3L83Pdu3ev6Dun2bNn4/Tp09i9e3euobiZM2fCw8MD//vf/0S14+joCBcXF8TFxQkBMDQ0FCtWrFApgWXmzJmwtLREWFhYrgtKW1tbODs7i24HyJpvuXfvHmxsbISgnp6ejtGjR+PHH3/M93VyZWm+ffsWmzdvRmBgoNILDVX+XqXCORtkjZXGxcXluSq6d+8eWrVqhWfPnoluq3v37sjMzMSUKVOgqamZZ2JO7NVLeno6Vq5ciX379iE+Ph6pqam5Hhc71/LhOpLMzEw8fvwYa9euha6uLvbv35/va3V1dXH58mXUqVNHSFDIjypDANra2ggNDc015FgcSUlJuHnzJipXrgwjI6Nil0MpCinntJ49e4ZJkybh77//Vvq42CAh1XoUIGv41t7eHl27dhUCRWhoKIKCgrB161bY2toW2oa+vj62bduWJ+kmODgY9vb2uHv3rqi+ZGZmwtfXFz4+PsIFk46ODqZNm4YpU6aIngzX09NDQEAAjI2Nc6U+3717F61atUJCQoKodnKKiYlBZGQkqlSpAjMzs0J/xh+m4UuRpQlA0r9XqXzWdzbZV+sKhQJeXl65ak+lp6fjwoULQsaMWFFRUTh9+rRQoqSoFi5ciC1btuC7777Dzz//jFmzZuHu3bs4fPiwSrfGI0aMyPVvhUKBOnXqoHPnzoUWhHz58qUw3HHv3j2cOnUKtWvXVv3NfEDKIScg6w9WW1sbAFQONJMmTcKyZcvyrDnKHvIRmyIq5ZzWrFmz8OrVKwQHB6NPnz7YsWMHnj59iqVLlxb6meUkZdHJQYMGITg4GCtXrsShQ4cAZFUjCA4OVrpFgzIpKSlKJ+Dr1q0rFJ0VQ6FQwMXFBS4uLsIJWJU1Y9kyMjKUFn598OCBqPmawu78g4KChP/P705CjixNoGzWe/ys72yyo39ISAjatm2ba1V+djXaqVOnqpSp1LdvX8ycOVOlisHKmJubw9vbG3369Mm1UHT16tU4d+5coYX4lMkOHGJXEOvp6WHfvn1o06ZNvnd/YuXc8yc5ObnYpU+ArPezZMkS+Pj4COtl1NXV8d1332HWrFmi3md+G3olJCTA0NAQiYmJovoiJUNDQ+zatQutW7eGtrY2QkJC0LhxYxw5cgQrVqzAyZMnRbUjVdq7VPr164fatWtjw4YNwnDwmzdvMGHCBLx48aLQag5Ss7e3R/Xq1eHr6wstLS2Eh4ejTp06sLOzg56eXqElYfr27YsdO3ZAQ0OjTN5JlDWfdbDJNnHiRCxbtkylPPb83L59G9999x1GjhwJMzOzIk/K1q1bF5cuXYKenh4MDQ2xd+9eWFpaIi4uDu3bty90viUnPz8/rFy5Ulgf0ahRIzg7O2Ps2LEFvs7Z2Rn+/v7Q1tZGfHw86tevn29yQmHDRHLs+ePp6Qk/Pz98//33ucbuFyxYAEdHxwLHyhMTE5GZmYn69esjMjISderUER5LT0/H0aNH4enpKfzMlJFrTktbWxvh4eFo0KABmjZtis2bN8Pa2hp37txB69atRQ/vSJX2DkhTPunatWsYOHAg3r9/L7Rz9epVqKmp4cCBA6J/R/IrWpq9IaChoSG+/vprdO7cucB2Hjx4gIEDByIzMxMxMTFo2bIlYmNjUbt2bRw/frzIadDF9e+//yodOi+sdNJXX32FdevWoXr16vjqq68KfO6OHTuK3U9VfdbDaNnE7nopRkJCAuLi4nKVuS/KpGz9+vXx+PFjIdgEBATA0tISFy9eFF0XDchaSLdy5UpMmjQp126N7u7uiI+PF1ZxK+Pr6wtbW1vcvn0bbm5ucHR0VCkdNCc59vzZvn07Vq9eneuP0MLCAvXq1cO0adMKDDb16tWDQqGAQqEQthbISaFQ5NopU5nIyEjhhBAZGVm0N6FE48aNER0djQYNGsDCwgK//fYbGjRogI0bNwrDhWJIlfYOZC0QdXV1hbm5OeLi4mBvbw9bW1v8+eefSElJEVXRwszMDJGRkdi5c6dQGNTOzg4jRoxQafuEnj17YuPGjTAzMxMqGF+6dAlXr17F6NGjcePGDfTv3x87duwosHJz/fr1ERYWhj179gjFZR0cHFTuj1Ti4uIwcuRIXLt2LU9xWaDwubrq1asLz5XiwllqvLP5/y5duoS9e/fi/v37ebJ/VLkKaNWqFZo0aYLp06crTRAQO44+b948VK9eHTNnzsSePXvwzTffoEGDBoiPj4ezs7PodSENGjTAsmXLhDUE2Xbt2gU3NzfRhS0nTpwIb2/vIo2Ny6VWrVoIDw9H48aNcx2Pjo6GtbV1gQvpQkJCkJmZiX79+sHf3z/XIsNKlSpBX19f5TVWUtmxYwfS0tIwZswYREREYNCgQXj+/DkqVaqE9evXi06lzc+lS5dUTnvX0dHBmTNnYGhoiOXLlyM4OBgHDx4UyidFR0cXq0+qcHJygp6eXp65yyVLluDevXtYtWoV5s+fj2PHjuH06dP5tnP69Gm0a9cuz+hDWloawsLCSrx23LBhw1C+fHmsWrUKZmZmCA4OxosXL+Dh4YGFCxeiQ4cOJdofqTHYANi9eze+/fZb9OjRAwEBAejevTtiYmLw9OlTDBgwQKU7HylXbed07tw5oRJBv379RL+uXr16OHXqVJ55p1u3bqFz586it2CW0qhRo9CqVas8qc+//PILLl26hG3btolqp3PnzmjTpg28vb1zHXd1dcXFixdzTdDm5969e9DT0yt2OQ+pEg2USUlJwc2bN6Gnp5druK+orly5gt69e6u8lffp06dhZGSE/v37o2/fvnByclK5iKYUi3l1dHRw+vRppduKd+zYEY8ePcLNmzfRqVMnPHnyJN928puve/78ORo2bFjiRVj19fVx5MgRWFhYQEdHB8HBwTA2NkZQUBA8PDwQGhoquq358+fD3t5etp1Ji4LDaMgq6LhkyRJMnDgRWlpaWLZsGRo2bAgXFxeVhi2ArBNgVFRUsYKNspL+VlZWKu+ICWSN427YsCHPnMGmTZvyZKqVlDNnzijdk6VXr14qLaRbsGABhgwZgsDAQOFnc+7cOdy/fx/79u0T1UZQUFCxCygCWUN6P//8c55g8+bNG/j7+xcabAqb88lJ7PxPQWnvqq4ut7S0xJIlS9C1a1ecPn1aWBNz584d0XMbUi3mVVNTU3pBFxYWJmQjZmRkFLomLb/NEV+8eKHS9ttSSU9PF35/ateujUePHsHY2Bj6+vpCxXaxDh8+jKVLl6Jjx45wcHDAoEGDSmVJQE4MNsgaK+3Tpw+ArCGU5ORkKBQKODs7o1+/foWO3efUr18/uLu749q1a0ozrcTsj1KxYkUcOHCgyKt/c564FAoF/Pz8EBAQIJyQz58/j/v375da3aSkpCSl804VK1YUfTWZmpqKhQsXYt++fQgICBDmAFQtM1TcAorZiQaZmZlISkrKdYJLT0/H8ePHRWXwfTjnc/nyZaSlpQlDhDExMShfvrzoNGOgeGnvH5KifJJUi3knT56MqVOnIiIiQpizuXjxIvz8/IRFpydPnsw3GSd78lyhUGDixIm5TsLp6em4evWqSiWhpGJqaoqoqCg0bNgQrVu3xooVK1CpUiVs2rRJ5UrQYWFhuHz5MrZt24ZZs2ZhxowZGDZsGOzt7YWfWUnjMBqyJmT//PNPmJubw8rKCm5ubrCzs0N4eDgGDRqkUuaXVPujfPvtt2jWrFmRSvoXloaZU2mkZHbq1Al9+/bNcyW7YMECHD16FGfOnBHVjhRFNItbQDF7IV5+shMNlJVCyo+Pjw9CQkKwfv16YS7pv//+w6RJk9C+fXtMnTpVdFtye/v2LcqXLy9qC20pF/P+8ccfWLdunXDF37hxY0yaNEkIsG/evBGy0z40ceJEAFl3o0OHDs31nOz5OkdHR0mGLAuTs4LAiRMn8ObNG9ja2iI2NhbDhg3DrVu3ULt2bfj5+QklmVSVmpqKo0ePYuvWrTh58iSMjY3h4OCAr7/+GjVq1JD2DRWAdzYAOnTogH/++Qfm5uYYMmQIZs6cieDgYPzzzz8qf8BS7Y9SnJL+ZT2nf/bs2fjqq69w+/ZtIT01KCgIu3fvFj1fA0hTRLO4BRT/+usvyRMNfHx8cPDgwVxt1axZE56enrC1tS1SsCnqHjSFUaV8kpSLeUeOHImRI0fm+3hB2WTZc7B16tTB3LlzhZpsd+/exaFDh9CkSZMSCTRA1vYm2fNG06ZNw6lTpwBkLU+IiIjAixcvULNmzWJ9bpmZmUhNTcX79++RmZmJmjVrYt26dfDy8oKvr2+xE07EYrBB1sT0u3fvAGSt3q5QoQLCw8MxcOBAlcbSU1NTUbt2bYSGhsLMzKxYffLz80ONGjUQERGRJ2tIoVAUqdZWWdGvXz/s3LkTy5Ytw/79+4XSHocPH1apGKEURTSLW0Axu7/Xr1+Hrq6uJFvuvn79WulamoSEBJUvZoqzB03OckX169cv8ISX35qdnIt55agfVxxXrlyBv78/xo8fj5cvX6JLly6oWLEinj9/jsWLF4vewr04NDQ0cPfuXWhqauLu3bt5kiZU3VQup4iICGzduhW7d+9GpUqVMGrUKKxYsUIYAl2zZg3c3NxKLNhwGA3A+PHj0alTJ3Ts2FGlvWuUMTMzw44dO1Quc0Oqk2LV9vv37zF+/Hjs27dPSIHNyMjAqFGj4OPjo9KappcvX+LChQtKM61UWa0/fvx4nD17FosWLRI2FTt//jzmzp2L9u3bY8OGDaLaKe4eNNu2bcPw4cOhpqZW6B1nfnNbcizmlapuoL6+Po4dOwZTU1Ns2bIFa9asQWhoKPbv34/58+fj0qVLotopDikXTufUpk0bREdHo3v37nB0dES/fv3ytJuQkICGDRtKulttQRhskHVFdebMGcTGxqJevXro2LGjEHxUnQ/w8/PDgQMHsHHjxmJdleR3R5VzlXT//v2L9T1Ky7fffgsHB4cSX8dQkFu3biEqKkp0AcUPHT16FOPGjUNSUlKuxXVA1memymr9lJQUzJkzB7///rtwIq1QoQIcHBywYMEC0ZlSpqammDt3bp5At23bNixcuFCWhbYlwcvLq8C6gWLvkOrUqYOIiAjo6elhzJgxMDExwZw5c3D//n20aNGiSIU4i+Lvv/8WFk7Pmzcv33lfJycn0W0uXrwY9vb2qFevnlTdLDYGmxwePnyI06dPC1+3bt2Ctra2SmmH1tbWuH37NlJTU6Gvr59naEfsLoJ9+/bF5cuXkZ6enicjydjYGLdu3YJCocCJEydgYmIi/k2WASNGjMDx48ehr6+PMWPGYPTo0aX+R/H+/XvcuXMHhoaGeRb5idG8eXP06tULP/30k+h9WQqTnJyM27dvA8gaglI1HbdWrVo4f/58nhThmJgYWFlZidrJNKf09HQcOnRIyPwzMTGBjY2N6P2VpLqAkqpuoJWVFcaOHQtbW1u0adNGyKyLiIjAkCFDEBcXJ6odqZTFhdNS4pxNDhoaGqhVqxY0NDRQo0YNVKhQQeWJwgEDBkjSFxsbG9SsWRNr164VSk+8evUKTk5OsLa2hqOjIxwdHeHu7o6DBw9K8j1Lys6dO/Hs2TPs2LED27dvx/z589G1a1c4ODigf//+ojKbpJKSkgJXV1ehaOWVK1dgYGAAV1dX6OjowM3NTVQ7Dx8+xJQpUyQLNEDWTq+q7GHyISn2oMkWGxuLIUOG4OHDh8LFj7e3N3R1dbF3715Rw8+RkZEFXkBt2LABc+bMKfQC6smTJ8KcaNWqVfHq1SsAWRdoqiSLeHh4CH9DXbp0EdKdT548qbSEkdyKWzZLjrVaUuKdDYAffvgBISEhuHLlCpo0aSIMo3Xo0CFXRlBJMjIywqFDh/L80V2/fh22traIiYlBREQEBg4cKLrkTFkVERGBbdu2YcuWLahWrRpGjBiBCRMmFCulWSw3NzeEhYVh6dKlGDRoEMLDw2FgYIDDhw9jwYIFoldtf/XVVxg2bBiGDh0qc4/Fk2IPmmyDBw9GZmYmNm3aJNx5PH/+HN988w3KlSsnahGtr68vzp49W+gF1Js3bwq8gGrRogU2bNiANm3aoEePHujTpw/c3NywZ88euLq6it4XB8jagfTx48do1qyZkNxx4cIFqKuro0mTJqLbKQvq168PU1NTUXfmpZGxymCDrLUSderUgbOzMwYOHJin1lZRRERE4MaNGwCyhhtUWYwHAJqamtizZ0+ejaZOnTqF4cOH48mTJ4iLi4O1tbVKZUfKmkePHsHf3x/btm0TqvBmD2fOnz+/SOuMVNG0aVP8/vvvsLKyyrWBVmxsLDp06FDgzzbnCv2EhAQsWrQIY8aMKfJiXjlERERg5cqVwtBXkyZN8N1336n8+1i3bl1h18ecIiMj0aNHDzx9+rTQNqS6gJKqbuCnJudGbGZmZpLtPyUVDqMhax7l9OnTCAkJwcqVK1GxYkXh7ubLL79UKfg8ffoUDg4OCAkJgYaGBoCsLKVOnTrBz89P9H4wNjY2mDx5MhYtWpRrlfScOXOESrYXLlwokat/qaWmpuLIkSPYunUrAgICYG5uDicnJ9jZ2QlXvAcPHsTkyZNlDzYJCQlKP5PsKhIFUVbuR9nKfCm2A1dVzpJHmzZtKnZ7ampqSrOWkpOTRWfsJSYm4tmzZ3mCTUJCgvDz0dDQyFMI90M5g8mwYcOgr69fpLqBn5qaNWsWmEZd2nhno0RkZCR8fX2xc+dOZGRkqHSisLe3R1xcHDZs2ICmTZsCyNqfYsKECTA0NISfn5+odpKSkuDu7g5/f3+kpaUByMpIGj16NJYsWYKqVaviypUrAFAq48vFoa+vj4yMDAwfPhxjx45V2v+XL1+iffv2smdM9erVC4MHD8bkyZOFDbQaNmwIV1dXxMTE4MCBA7J+fznp6OggNDRU5VInyowfPx6XL1/GmjVrcqVjOzk5wdLSEuvXry+0DUdHR5w7d07pBVTbtm3x22+/Yffu3fjf//6Xb7VmZXUDKYuzszO2b98OHR0dSdOopcJgg6wVtpcvX0ZISAhCQkIQGhqKxMREmJubo2PHjli6dKnotnR0dHD48OE89YcuXLgAW1tblassJyUlCVkxBgYGRd5Ppizx9/fHkCFDVFp9LpezZ89i8ODBGDlyJLZt24Zx48bhxo0bCA8Px/Hjx2FpaVnaXSyy4pQ8+tDLly8xYcIEHD16VBgiTE1NRf/+/bFu3TpRZU+kuoCSMoh+auRIo5YKgw2yJtaSkpJgYWEhDJ+1b99eGAZThZaWFv7+++88fyyXL19Gnz59Pur5FbkkJiYiODgYjRs3Fu4GS9Lt27exfPlyYQOt5s2bY8aMGXnmJwqSc6V8TjnTejt27Cg6TVgK2Vtmd+nSReWSR/mJjY0V5iKbNm1apOrmxb2AkjKIfqrKYho1gw2AY8eOoX379pLsbmdnZ4dXr15hy5YtQk2shw8fYty4cdDQ0MAff/xR7O/xsRszZgw6dOiASZMm4c2bN2jXrh3u3r2LzMxM+Pn5YdCgQaXdRZWZmpoiISEBKSkpuYpnfvHFF6hatSqePXsGAwMD/PXXX9DV1S2xPuVHlRX72Yq6vbjU5AiiJD8GG4ndv38fw4cPx7///iucVOLj42FmZobdu3fn2Rf+c2RgYIADBw6gWbNm2LlzJxYsWICwsDBs374dmzZtUmmTqKJITEwU/VyxFyC7du3C5s2bsWrVKmHNSWxsLFxcXDBu3DhYW1vDwcEBWlpawpqej0l+24uvW7cOzs7OBW4vLjWpgyiVDAYbGWRmZiIwMDBXumm3bt1KuVdlR+3atXHlyhXo6upi/Pjx0NHRgZeXF+Lj49GqVStRabTFUdi2AMD/bawlNjnE3Nwc27dvVzp8Onr0aFy7dg1hYWEYNWqUUBVAblKWPJJqe3H6fDH1WQZBQUEIDg4WCjJeuXIFu3btAoBibQ/8qdDV1UV4eDhq1qyJEydOCBl6//33X4kkDcixoO3x48dIT0/Pczw9PV3YmlhHR6fEih4C0q3YB7KSAVq2bJnnuKWlpTDZLyexq+MVCgUWL14sc2+oKBhsJLZw4UIsWrQILVu2hLa2tuT7h3wKnJycMG7cOFSrVg26urrCwtUzZ84Ue2sGMT7cxuDMmTP47bffEBcXh+3bt6NevXrw9/dXKdupU6dOcHFxwapVq4QFk5cvX8bUqVOFPXuuXbuWZ98cOUlZ8qi0txeXYydTKlkcRpOYoaEh5s+fX2pbLn8sIiIiEB8fj65duwrDWseOHUONGjWE0iolYf/+/Rg/fjxGjBiBHTt24OLFizAwMMDatWtx/Phx/Pnnn6Laefz4McaPH4+goCAhNTgtLQ1dunTBxo0boaWlheDgYKSmpqJHjx5yviWBlCWPXF1d4e/vj/r16yvdXjxniRS56259TDuZ0v9hsJGYnp4egoODi70vzqeurGQ2WVtbw9nZGaNHj85Vruby5csYPHiwypV/b968iZiYGABZWxUbGxvL0W1RpCx5VJa2GjcyMsLBgwfzJApcu3ZN2FKZyh4Oo0nMwcEBu3btwuzZs0u7K2VWfplN7u7uiI+PL9HMplu3bindV6dGjRpCNWFVNGnSpMwUcJSy5FFZ2mpcyp1MqeQw2Ejs7du32Lx5s1C08MMKrKVR2rus2bhxI3x9fXNlNtnY2MDc3FxY+VxStLS0EBsbm2cu5ezZszAwMCjwte7u7vD09ETVqlULncAujc995cqVcHd3h4ODg9IV+wBgbGyMVatWlXjfimPAgAGYNGmS0p1MValkTSWLw2gSk2Kr4k9dvXr1cOrUqTxX1Ldu3ULnzp1VLulTHMuWLcPOnTuxZs0aDBgwAPv27cO9e/fg7u6O2bNnY/Lkyfm+VldXF5cvX0adOnXK9Of+qZU8kmonUypZDDZU4lxdXVGhQoU8V/seHh54+/YtVqxYUWJ9yczMxLJly+Dt7Y2UlBQAWRWOp06dCk9PzwJfW9ZLun/qiruTKZUsBhsqcWUpsynb+/fvERsbi+TkZDRt2lTU1b+enh727duHNm3aoFq1aoiLixO9hQTR54bBhkpcWcpsKg5nZ2f4+/tDW1u7TJZ0JypLGGyIiqEsl3QnKkuYjUZUDL169QKQtUh1ypQpZaqkO1FZwjsbIiKSXbnS7gAREX36GGyIiEh2DDZERCQ7BhsiIpIdgw0REcmOwYaIiGTHYENERLL7f0TN3tR0hklKAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 400x225 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(4, 2.25),\n",
    "    facecolor=\"whitesmoke\",\n",
    "    layout=\"constrained\",\n",
    ")\n",
    "\n",
    "p_type = pokemon[\"primary_type\"]\n",
    "ax.bar(\n",
    "    range(p_type.nunique()),\n",
    "    p_type.value_counts(),\n",
    ")\n",
    "_ = ax.set_xticks(\n",
    "    range(p_type.nunique()),\n",
    "    labels=p_type.value_counts().index,\n",
    "    rotation=90,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "2cb3c662-98a7-47db-a5b2-4cddc9a0f73f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CategoricalIndex(['water', 'normal', 'grass', 'bug', 'fire', 'psychic', 'rock',\n",
       "                  'electric', 'fighting', 'dark', 'ground', 'poison', 'ghost',\n",
       "                  'dragon', 'steel', 'ice', 'fairy', 'flying'],\n",
       "                 categories=['bug', 'dark', 'dragon', 'electric', ..., 'psychic', 'rock', 'steel', 'water'], ordered=False, dtype='category', name='primary_type')"
      ]
     },
     "execution_count": 162,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p_type.value_counts().index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "id": "82cab267-3bb3-4b62-b603-176021658f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "type_colours_data = {\n",
    "    \"normal\": \"#A8A77A\",\n",
    "    \"fire\": \"#EE8130\",\n",
    "    \"water\": \"#6390F0\",\n",
    "    \"electric\": \"#F7D02C\",\n",
    "    \"grass\": \"#7AC74C\",\n",
    "    \"ice\": \"#96D9D6\",\n",
    "    \"fighting\": \"#C22E28\",\n",
    "    \"poison\": \"#A33EA1\",\n",
    "    \"ground\": \"#E2BF65\",\n",
    "    \"flying\": \"#A98FF3\",\n",
    "    \"psychic\": \"#F95587\",\n",
    "    \"bug\": \"#A6B91A\",\n",
    "    \"rock\": \"#B6A136\",\n",
    "    \"ghost\": \"#735797\",\n",
    "    \"dragon\": \"#6F35FC\",\n",
    "    \"dark\": \"#705746\",\n",
    "    \"steel\": \"#B7B7CE\",\n",
    "    \"fairy\": \"#D685AD\",\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "id": "b061072d-e2c9-4a94-8a6d-816b5b1a4277",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x225 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(4, 2.25),\n",
    "    facecolor=\"whitesmoke\",\n",
    "    layout=\"constrained\",\n",
    ")\n",
    "\n",
    "p_type = pokemon[\"primary_type\"]\n",
    "value_counts = p_type.value_counts()\n",
    "colours = [type_colours_data[typ] for typ in value_counts.index]\n",
    "\n",
    "ax.bar(\n",
    "    range(p_type.nunique()),\n",
    "    value_counts,\n",
    "    color=colours,\n",
    ")\n",
    "_ = ax.set_xticks(\n",
    "    range(p_type.nunique()),\n",
    "    labels=value_counts.index,\n",
    "    rotation=90,\n",
    ")\n",
    "\n",
    "_ = ax.set_title(\"Distribution of Pokémon per primary type\")\n",
    "_ = ax.set_xlabel(\"Primary type\")\n",
    "_ = ax.set_ylabel(\"Count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 185,
   "id": "f6591fab-f273-4f7d-933d-6c5a8043e1c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    figsize=(8, 4.5),\n",
    "    facecolor=\"whitesmoke\",\n",
    "    layout=\"constrained\",\n",
    ")\n",
    "\n",
    "p_type = pokemon[\"primary_type\"]\n",
    "value_counts = p_type.value_counts()\n",
    "colours = [type_colours_data[typ] for typ in value_counts.index]\n",
    "\n",
    "ax.barh(\n",
    "    range(p_type.nunique()),\n",
    "    value_counts,\n",
    "    color=colours,\n",
    ")\n",
    "_ = ax.set_yticks(\n",
    "    range(p_type.nunique()),\n",
    "    labels=value_counts.index,\n",
    ")\n",
    "\n",
    "_ = ax.set_title(\"Distribution of Pokémon per primary type\")\n",
    "_ = ax.set_ylabel(\"Primary type\")\n",
    "_ = ax.set_xlabel(\"Count\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61025c99-c6b1-4812-9ca2-5a6e7e2373dc",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
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