{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Программирование для всех (основы Python)\n",
    "\n",
    "*Алла Тамбовцева, НИУ ВШЭ*\n",
    "\n",
    "\n",
    "## Библиотека `pandas`. Продолжение."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Группировка и агрегирование: методы `.groupby()` и `.agg()`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Часто случается, что данные необходимо сгруппировать по какому-то признаку – по значениям определенной переменной. На входе имеется таблица (датафрейм), а на выходе хочется получить несколько таблиц: отдельная таблица для каждого значения. Давайте рассмотрим такой пример. У нас есть файл с результатами выборов 2012 года по всем избирательным участкам, и нам нужно сгруппировать данные по регионам. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Для начала импортируем библиотеку `pandas` и загрузим файл с данными."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Загрузим файл `elect.csv`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"elect.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В таблице сохранены результаты выборов президента России 2012 года. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>...</th>\n",
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       "      <td>http://www.adygei.vybory.izbirkom.ru/region/ad...</td>\n",
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       "      <td>http://www.adygei.vybory.izbirkom.ru/region/ad...</td>\n",
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       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2865.0</td>\n",
       "      <td>2586.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>1174.0</td>\n",
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       "      <td>2</td>\n",
       "      <td>http://www.adygei.vybory.izbirkom.ru/region/ad...</td>\n",
       "      <td>3</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2821.0</td>\n",
       "      <td>2558.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>481.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>1025.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>http://www.adygei.vybory.izbirkom.ru/region/ad...</td>\n",
       "      <td>4</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2069.0</td>\n",
       "      <td>1868.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>784.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>http://www.adygei.vybory.izbirkom.ru/region/ad...</td>\n",
       "      <td>5</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>777.0</td>\n",
       "      <td>705.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>286.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 34 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                link  uik  \\\n",
       "0  http://www.adygei.vybory.izbirkom.ru/region/ad...    1   \n",
       "1  http://www.adygei.vybory.izbirkom.ru/region/ad...    2   \n",
       "2  http://www.adygei.vybory.izbirkom.ru/region/ad...    3   \n",
       "3  http://www.adygei.vybory.izbirkom.ru/region/ad...    4   \n",
       "4  http://www.adygei.vybory.izbirkom.ru/region/ad...    5   \n",
       "\n",
       "                         kom1        kom2    kom3  kom4  kom5       1       2  \\\n",
       "0  Республика Адыгея (Адыгея)  Адыгейская  УИК №1   NaN   NaN  2383.0  2147.0   \n",
       "1  Республика Адыгея (Адыгея)  Адыгейская  УИК №2   NaN   NaN  2865.0  2586.0   \n",
       "2  Республика Адыгея (Адыгея)  Адыгейская  УИК №3   NaN   NaN  2821.0  2558.0   \n",
       "3  Республика Адыгея (Адыгея)  Адыгейская  УИК №4   NaN   NaN  2069.0  1868.0   \n",
       "4  Республика Адыгея (Адыгея)  Адыгейская  УИК №5   NaN   NaN   777.0   705.0   \n",
       "\n",
       "     3  ...   18    19     20    21     22      23   а   б   в   г  \n",
       "0  0.0  ...  0.0  24.0  382.0  28.0   71.0  1066.0 NaN NaN NaN NaN  \n",
       "1  0.0  ...  0.0  51.0  453.0  49.0  104.0  1174.0 NaN NaN NaN NaN  \n",
       "2  0.0  ...  0.0  36.0  481.0  24.0  107.0  1025.0 NaN NaN NaN NaN  \n",
       "3  0.0  ...  0.0   0.0  414.0   0.0   48.0   784.0 NaN NaN NaN NaN  \n",
       "4  0.0  ...  0.0  19.0  138.0   4.0    7.0   286.0 NaN NaN NaN NaN  \n",
       "\n",
       "[5 rows x 34 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 90003 entries, 0 to 90002\n",
      "Data columns (total 34 columns):\n",
      "link    90003 non-null object\n",
      "uik     90003 non-null int64\n",
      "kom1    90003 non-null object\n",
      "kom2    90003 non-null object\n",
      "kom3    89618 non-null object\n",
      "kom4    0 non-null float64\n",
      "kom5    0 non-null float64\n",
      "1       89994 non-null float64\n",
      "2       89994 non-null float64\n",
      "3       89994 non-null float64\n",
      "4       89994 non-null float64\n",
      "5       89994 non-null float64\n",
      "6       89994 non-null float64\n",
      "7       89994 non-null float64\n",
      "8       89994 non-null float64\n",
      "9       89994 non-null float64\n",
      "10      89994 non-null float64\n",
      "11      89994 non-null float64\n",
      "12      89994 non-null float64\n",
      "13      89994 non-null float64\n",
      "14      89994 non-null float64\n",
      "15      89994 non-null float64\n",
      "16      89994 non-null float64\n",
      "17      89994 non-null float64\n",
      "18      89994 non-null float64\n",
      "19      89994 non-null float64\n",
      "20      89994 non-null float64\n",
      "21      89994 non-null float64\n",
      "22      89994 non-null float64\n",
      "23      89994 non-null float64\n",
      "а       0 non-null float64\n",
      "б       0 non-null float64\n",
      "в       0 non-null float64\n",
      "г       0 non-null float64\n",
      "dtypes: float64(29), int64(1), object(4)\n",
      "memory usage: 23.3+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Таблица достаточно большая, поэтому давайте выберем те столбцы, которые понадобятся нам для работы. Какие именно? Столбцы в этой таблице имеют порядковый номер строки в таблице на сайте Центральной избирательной комиссии.\n",
    "\n",
    "Выберем столбцы, которые соответствуют уровням комиссий, а также следующим показателям: общее число зарегистрированных избирателей, число недействительных бюллетеней, число действительных бюллетеней, число голосов за Жириновского, Зюганова, Миронова, Прохорова и Путина."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "d = df[[\"kom1\", \"kom2\", \"kom3\", \n",
    "        \"1\", \"9\", \"10\", \"19\", \n",
    "        \"20\", \"21\", \"22\", \"23\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>kom1</th>\n",
       "      <th>kom2</th>\n",
       "      <th>kom3</th>\n",
       "      <th>1</th>\n",
       "      <th>9</th>\n",
       "      <th>10</th>\n",
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       "    </tr>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №1</td>\n",
       "      <td>2383.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1571.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>382.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>71.0</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №2</td>\n",
       "      <td>2865.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1831.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>453.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №3</td>\n",
       "      <td>2821.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1673.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>481.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>1025.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №4</td>\n",
       "      <td>2069.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1246.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>784.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №5</td>\n",
       "      <td>777.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>454.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>286.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         kom1        kom2    kom3       1     9      10    19  \\\n",
       "0  Республика Адыгея (Адыгея)  Адыгейская  УИК №1  2383.0  19.0  1571.0  24.0   \n",
       "1  Республика Адыгея (Адыгея)  Адыгейская  УИК №2  2865.0  29.0  1831.0  51.0   \n",
       "2  Республика Адыгея (Адыгея)  Адыгейская  УИК №3  2821.0  31.0  1673.0  36.0   \n",
       "3  Республика Адыгея (Адыгея)  Адыгейская  УИК №4  2069.0   0.0  1246.0   0.0   \n",
       "4  Республика Адыгея (Адыгея)  Адыгейская  УИК №5   777.0   8.0   454.0  19.0   \n",
       "\n",
       "      20    21     22      23  \n",
       "0  382.0  28.0   71.0  1066.0  \n",
       "1  453.0  49.0  104.0  1174.0  \n",
       "2  481.0  24.0  107.0  1025.0  \n",
       "3  414.0   0.0   48.0   784.0  \n",
       "4  138.0   4.0    7.0   286.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Теперь присвоим столбцам более информативные названия:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "d.columns = [\"region\", \"tik\", \"uik\", \n",
    "             \"total\", \"invalid\", \"valid\", \n",
    "             \"Zh\", \"Zu\", \"Mi\", \"Pr\", \"Pu\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>region</th>\n",
       "      <th>tik</th>\n",
       "      <th>uik</th>\n",
       "      <th>total</th>\n",
       "      <th>invalid</th>\n",
       "      <th>valid</th>\n",
       "      <th>Zh</th>\n",
       "      <th>Zu</th>\n",
       "      <th>Mi</th>\n",
       "      <th>Pr</th>\n",
       "      <th>Pu</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №1</td>\n",
       "      <td>2383.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1571.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>382.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>1066.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №2</td>\n",
       "      <td>2865.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>1831.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>453.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>1174.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №3</td>\n",
       "      <td>2821.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1673.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>481.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>1025.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №4</td>\n",
       "      <td>2069.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1246.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>414.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>48.0</td>\n",
       "      <td>784.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>Республика Адыгея (Адыгея)</td>\n",
       "      <td>Адыгейская</td>\n",
       "      <td>УИК №5</td>\n",
       "      <td>777.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>454.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>138.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>286.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       region         tik     uik   total  invalid   valid  \\\n",
       "0  Республика Адыгея (Адыгея)  Адыгейская  УИК №1  2383.0     19.0  1571.0   \n",
       "1  Республика Адыгея (Адыгея)  Адыгейская  УИК №2  2865.0     29.0  1831.0   \n",
       "2  Республика Адыгея (Адыгея)  Адыгейская  УИК №3  2821.0     31.0  1673.0   \n",
       "3  Республика Адыгея (Адыгея)  Адыгейская  УИК №4  2069.0      0.0  1246.0   \n",
       "4  Республика Адыгея (Адыгея)  Адыгейская  УИК №5   777.0      8.0   454.0   \n",
       "\n",
       "     Zh     Zu    Mi     Pr      Pu  \n",
       "0  24.0  382.0  28.0   71.0  1066.0  \n",
       "1  51.0  453.0  49.0  104.0  1174.0  \n",
       "2  36.0  481.0  24.0  107.0  1025.0  \n",
       "3   0.0  414.0   0.0   48.0   784.0  \n",
       "4  19.0  138.0   4.0    7.0   286.0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.head() # опять посмотрим"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Посмотрим теперь, какие регионы есть в базе. Выбрать столбец `region` в таком случае будет не совсем удачно, поскольку в нем будет много повторяющихся значений. Посмотрим только на уникальные:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Республика Адыгея (Адыгея)', 'Республика Алтай',\n",
       "       'Республика Башкортостан', 'Республика Бурятия',\n",
       "       'Республика Дагестан', 'Ðåñïóáëèêà Äàãåñòàí',\n",
       "       'Республика Ингушетия', 'Кабардино-Балкарская Республика',\n",
       "       'Республика Калмыкия', 'Карачаево-Черкесская Республика',\n",
       "       'Республика Карелия', 'Республика Коми', 'Республика Марий Эл',\n",
       "       'Республика Мордовия', 'Республика Саха (Якутия)',\n",
       "       'Республика Северная Осетия - Алания', 'Республика Тыва',\n",
       "       'Удмуртская Республика', 'Республика Хакасия',\n",
       "       'Чувашская Республика - Чувашия', 'Алтайский край',\n",
       "       'Забайкальский край', 'Камчатский край', 'Краснодарский край',\n",
       "       'Красноярский край', 'Пермский край', 'Приморский край',\n",
       "       'Ставропольский край', 'Хабаровский край', 'Õàáàðîâñêèé êðàé',\n",
       "       'Амурская область', 'Архангельская область',\n",
       "       'Астраханская область', 'Белгородская область', 'Брянская область',\n",
       "       'Владимирская область', 'Волгоградская область',\n",
       "       'Вологодская область', 'Воронежская область', 'Ивановская область',\n",
       "       'Иркутская область', 'Калужская область', 'Кемеровская область',\n",
       "       'Кировская область', 'Костромская область', 'Курганская область',\n",
       "       'Курская область', 'Ленинградская область', 'Липецкая область',\n",
       "       'Магаданская область', 'Московская область', 'Мурманская область',\n",
       "       'Ìóðìàíñêàÿ îáëàñòü', 'Нижегородская область',\n",
       "       'Новгородская область', 'Новосибирская область', 'Омская область',\n",
       "       'Оренбургская область', 'Орловская область', 'Пензенская область',\n",
       "       'Псковская область', 'Ростовская область', 'Рязанская область',\n",
       "       'Самарская область', 'Саратовская область', 'Сахалинская область',\n",
       "       'Свердловская область', 'Смоленская область', 'Тамбовская область',\n",
       "       'Тверская область', 'Томская область', 'Тульская область',\n",
       "       'Тюменская область', 'Ульяновская область', 'Челябинская область',\n",
       "       'Город Москва', 'Город Санкт-Петербург', 'Ãîðîä Ñàíêò-Ïåòåðáóðã',\n",
       "       'Еврейская автономная область', 'Ненецкий автономный округ',\n",
       "       'Чукотский автономный округ', 'Ямало-Ненецкий автономный округ',\n",
       "       'Город Байконур (Республика Казахстан)',\n",
       "       'Территория за пределами РФ'], dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.region.unique() # метод unique - уникальные значения"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Видно, что в этом массиве встречаются какие-то крокозябры — названия со странной кодировкой. Давайте уберем эти строки из датафрейма, потому что данные, соответствующие этим названиям, состоят из пропущенных значений `NaN`. Найдем в этих крокозябрах общий символ и воспользуемся методом `str.contains()` для строк:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# - или ~ для отрицания\n",
    "d = d[~d.region.str.contains(\"à\")]  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сгруппируем данные по регионам и посчитаем для каждого региона явку в процентах и процент голосов за каждого кандидата. Группировка осуществляется с помощью метода `.groupby()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<pandas.core.groupby.generic.DataFrameGroupBy object at 0x11965d710>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.groupby(\"region\") # пока ничего не увидели"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Что выдает метод `.groupby()`? На самом деле он делает следующее: создает список, состоящий из кортежей. Каждый кортеж – это пара *название группы*-*соответствующий ей фрагмент датафрейма*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# посмотрим на все сразу\n",
    "for g in d.groupby(\"region\"):\n",
    "    print(g)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В таком виде метод `.groupby()` дает нам немного. Мы же хотим не просто получать отдельные таблицы, а агрегировать данные по регионам – суммировать все показатели (число избирателей, бюллетеней, голосов) по каждому региону. Тут на помощь придет метод `.agg()`, который выполняет агрегирование по группам."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>total</th>\n",
       "      <th>invalid</th>\n",
       "      <th>valid</th>\n",
       "      <th>Zh</th>\n",
       "      <th>Zu</th>\n",
       "      <th>Mi</th>\n",
       "      <th>Pr</th>\n",
       "      <th>Pu</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Алтайский край</td>\n",
       "      <td>1961328.0</td>\n",
       "      <td>12004.0</td>\n",
       "      <td>1163426.0</td>\n",
       "      <td>97961.0</td>\n",
       "      <td>261665.0</td>\n",
       "      <td>45883.0</td>\n",
       "      <td>83778.0</td>\n",
       "      <td>674139.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Амурская область</td>\n",
       "      <td>662320.0</td>\n",
       "      <td>4708.0</td>\n",
       "      <td>394996.0</td>\n",
       "      <td>39717.0</td>\n",
       "      <td>67433.0</td>\n",
       "      <td>13594.0</td>\n",
       "      <td>23070.0</td>\n",
       "      <td>251182.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Архангельская область</td>\n",
       "      <td>988678.0</td>\n",
       "      <td>5522.0</td>\n",
       "      <td>569492.0</td>\n",
       "      <td>51169.0</td>\n",
       "      <td>91648.0</td>\n",
       "      <td>33223.0</td>\n",
       "      <td>60108.0</td>\n",
       "      <td>333344.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Астраханская область</td>\n",
       "      <td>769608.0</td>\n",
       "      <td>5107.0</td>\n",
       "      <td>427496.0</td>\n",
       "      <td>21918.0</td>\n",
       "      <td>67662.0</td>\n",
       "      <td>18595.0</td>\n",
       "      <td>21873.0</td>\n",
       "      <td>297448.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Белгородская область</td>\n",
       "      <td>1210590.0</td>\n",
       "      <td>10209.0</td>\n",
       "      <td>889764.0</td>\n",
       "      <td>59561.0</td>\n",
       "      <td>211079.0</td>\n",
       "      <td>35601.0</td>\n",
       "      <td>49807.0</td>\n",
       "      <td>533716.0</td>\n",
       "    </tr>\n",
       "    <tr>\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",
       "      <td>Хабаровский край</td>\n",
       "      <td>1056125.0</td>\n",
       "      <td>8733.0</td>\n",
       "      <td>645264.0</td>\n",
       "      <td>68500.0</td>\n",
       "      <td>115436.0</td>\n",
       "      <td>31944.0</td>\n",
       "      <td>62145.0</td>\n",
       "      <td>367239.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Челябинская область</td>\n",
       "      <td>2757879.0</td>\n",
       "      <td>25366.0</td>\n",
       "      <td>1704033.0</td>\n",
       "      <td>97869.0</td>\n",
       "      <td>254542.0</td>\n",
       "      <td>88177.0</td>\n",
       "      <td>138907.0</td>\n",
       "      <td>1124538.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Чувашская Республика - Чувашия</td>\n",
       "      <td>954572.0</td>\n",
       "      <td>10465.0</td>\n",
       "      <td>692492.0</td>\n",
       "      <td>39707.0</td>\n",
       "      <td>144676.0</td>\n",
       "      <td>31201.0</td>\n",
       "      <td>38838.0</td>\n",
       "      <td>438070.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Чукотский автономный округ</td>\n",
       "      <td>35968.0</td>\n",
       "      <td>428.0</td>\n",
       "      <td>28909.0</td>\n",
       "      <td>2106.0</td>\n",
       "      <td>2651.0</td>\n",
       "      <td>633.0</td>\n",
       "      <td>2209.0</td>\n",
       "      <td>21310.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Ямало-Ненецкий автономный округ</td>\n",
       "      <td>358834.0</td>\n",
       "      <td>2669.0</td>\n",
       "      <td>332293.0</td>\n",
       "      <td>17456.0</td>\n",
       "      <td>18738.0</td>\n",
       "      <td>4979.0</td>\n",
       "      <td>7807.0</td>\n",
       "      <td>283313.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>80 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     total  invalid      valid       Zh  \\\n",
       "region                                                                    \n",
       "Алтайский край                   1961328.0  12004.0  1163426.0  97961.0   \n",
       "Амурская область                  662320.0   4708.0   394996.0  39717.0   \n",
       "Архангельская область             988678.0   5522.0   569492.0  51169.0   \n",
       "Астраханская область              769608.0   5107.0   427496.0  21918.0   \n",
       "Белгородская область             1210590.0  10209.0   889764.0  59561.0   \n",
       "...                                    ...      ...        ...      ...   \n",
       "Хабаровский край                 1056125.0   8733.0   645264.0  68500.0   \n",
       "Челябинская область              2757879.0  25366.0  1704033.0  97869.0   \n",
       "Чувашская Республика - Чувашия    954572.0  10465.0   692492.0  39707.0   \n",
       "Чукотский автономный округ         35968.0    428.0    28909.0   2106.0   \n",
       "Ямало-Ненецкий автономный округ   358834.0   2669.0   332293.0  17456.0   \n",
       "\n",
       "                                       Zu       Mi        Pr         Pu  \n",
       "region                                                                   \n",
       "Алтайский край                   261665.0  45883.0   83778.0   674139.0  \n",
       "Амурская область                  67433.0  13594.0   23070.0   251182.0  \n",
       "Архангельская область             91648.0  33223.0   60108.0   333344.0  \n",
       "Астраханская область              67662.0  18595.0   21873.0   297448.0  \n",
       "Белгородская область             211079.0  35601.0   49807.0   533716.0  \n",
       "...                                   ...      ...       ...        ...  \n",
       "Хабаровский край                 115436.0  31944.0   62145.0   367239.0  \n",
       "Челябинская область              254542.0  88177.0  138907.0  1124538.0  \n",
       "Чувашская Республика - Чувашия   144676.0  31201.0   38838.0   438070.0  \n",
       "Чукотский автономный округ         2651.0    633.0    2209.0    21310.0  \n",
       "Ямало-Ненецкий автономный округ   18738.0   4979.0    7807.0   283313.0  \n",
       "\n",
       "[80 rows x 8 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.groupby(\"region\").agg(\"sum\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Сначала в `.groupby()` мы указали переменную, по которой нужно выполнить группировку, затем в `.agg()` мы указали функцию, которую нужно применить ко всем столбцам в каждой группе. В нашем случае это `'sum'`, поскольку нам нужно просто просуммировать все значения по столбцам в пределах одного региона. Применять можно и другие функции, например, считать среднее:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>invalid</th>\n",
       "      <th>valid</th>\n",
       "      <th>Zh</th>\n",
       "      <th>Zu</th>\n",
       "      <th>Mi</th>\n",
       "      <th>Pr</th>\n",
       "      <th>Pu</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Алтайский край</td>\n",
       "      <td>1053.344791</td>\n",
       "      <td>6.446831</td>\n",
       "      <td>624.825994</td>\n",
       "      <td>52.610634</td>\n",
       "      <td>140.529001</td>\n",
       "      <td>24.641783</td>\n",
       "      <td>44.993555</td>\n",
       "      <td>362.051020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Амурская область</td>\n",
       "      <td>845.874840</td>\n",
       "      <td>6.012771</td>\n",
       "      <td>504.464879</td>\n",
       "      <td>50.724138</td>\n",
       "      <td>86.121328</td>\n",
       "      <td>17.361430</td>\n",
       "      <td>29.463602</td>\n",
       "      <td>320.794381</td>\n",
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       "    <tr>\n",
       "      <td>Архангельская область</td>\n",
       "      <td>1004.754065</td>\n",
       "      <td>5.611789</td>\n",
       "      <td>578.752033</td>\n",
       "      <td>52.001016</td>\n",
       "      <td>93.138211</td>\n",
       "      <td>33.763211</td>\n",
       "      <td>61.085366</td>\n",
       "      <td>338.764228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Астраханская область</td>\n",
       "      <td>1313.324232</td>\n",
       "      <td>8.715017</td>\n",
       "      <td>729.515358</td>\n",
       "      <td>37.402730</td>\n",
       "      <td>115.464164</td>\n",
       "      <td>31.732082</td>\n",
       "      <td>37.325939</td>\n",
       "      <td>507.590444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Белгородская область</td>\n",
       "      <td>968.472000</td>\n",
       "      <td>8.167200</td>\n",
       "      <td>711.811200</td>\n",
       "      <td>47.648800</td>\n",
       "      <td>168.863200</td>\n",
       "      <td>28.480800</td>\n",
       "      <td>39.845600</td>\n",
       "      <td>426.972800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             total   invalid       valid         Zh  \\\n",
       "region                                                                \n",
       "Алтайский край         1053.344791  6.446831  624.825994  52.610634   \n",
       "Амурская область        845.874840  6.012771  504.464879  50.724138   \n",
       "Архангельская область  1004.754065  5.611789  578.752033  52.001016   \n",
       "Астраханская область   1313.324232  8.715017  729.515358  37.402730   \n",
       "Белгородская область    968.472000  8.167200  711.811200  47.648800   \n",
       "\n",
       "                               Zu         Mi         Pr          Pu  \n",
       "region                                                               \n",
       "Алтайский край         140.529001  24.641783  44.993555  362.051020  \n",
       "Амурская область        86.121328  17.361430  29.463602  320.794381  \n",
       "Архангельская область   93.138211  33.763211  61.085366  338.764228  \n",
       "Астраханская область   115.464164  31.732082  37.325939  507.590444  \n",
       "Белгородская область   168.863200  28.480800  39.845600  426.972800  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.groupby(\"region\").agg(\"mean\").head() # mean - среднее"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Или сразу несколько статистик. которые можно указать в `.agg()` в виде списка."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
       "      <th>median</th>\n",
       "      <th>mean</th>\n",
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       "      <th>mean</th>\n",
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       "      <td>Алтайский край</td>\n",
       "      <td>1053.344791</td>\n",
       "      <td>823.0</td>\n",
       "      <td>6.446831</td>\n",
       "      <td>4.0</td>\n",
       "      <td>624.825994</td>\n",
       "      <td>495.0</td>\n",
       "      <td>52.610634</td>\n",
       "      <td>41.0</td>\n",
       "      <td>140.529001</td>\n",
       "      <td>109.5</td>\n",
       "      <td>24.641783</td>\n",
       "      <td>15.0</td>\n",
       "      <td>44.993555</td>\n",
       "      <td>22.0</td>\n",
       "      <td>362.051020</td>\n",
       "      <td>305.5</td>\n",
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       "    <tr>\n",
       "      <td>Амурская область</td>\n",
       "      <td>845.874840</td>\n",
       "      <td>523.0</td>\n",
       "      <td>6.012771</td>\n",
       "      <td>4.0</td>\n",
       "      <td>504.464879</td>\n",
       "      <td>326.0</td>\n",
       "      <td>50.724138</td>\n",
       "      <td>31.0</td>\n",
       "      <td>86.121328</td>\n",
       "      <td>52.0</td>\n",
       "      <td>17.361430</td>\n",
       "      <td>9.0</td>\n",
       "      <td>29.463602</td>\n",
       "      <td>12.0</td>\n",
       "      <td>320.794381</td>\n",
       "      <td>224.0</td>\n",
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       "    <tr>\n",
       "      <td>Архангельская область</td>\n",
       "      <td>1004.754065</td>\n",
       "      <td>581.5</td>\n",
       "      <td>5.611789</td>\n",
       "      <td>2.0</td>\n",
       "      <td>578.752033</td>\n",
       "      <td>332.5</td>\n",
       "      <td>52.001016</td>\n",
       "      <td>29.0</td>\n",
       "      <td>93.138211</td>\n",
       "      <td>44.0</td>\n",
       "      <td>33.763211</td>\n",
       "      <td>19.0</td>\n",
       "      <td>61.085366</td>\n",
       "      <td>20.5</td>\n",
       "      <td>338.764228</td>\n",
       "      <td>230.5</td>\n",
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       "    <tr>\n",
       "      <td>Астраханская область</td>\n",
       "      <td>1313.324232</td>\n",
       "      <td>1283.5</td>\n",
       "      <td>8.715017</td>\n",
       "      <td>6.0</td>\n",
       "      <td>729.515358</td>\n",
       "      <td>692.5</td>\n",
       "      <td>37.402730</td>\n",
       "      <td>31.0</td>\n",
       "      <td>115.464164</td>\n",
       "      <td>100.5</td>\n",
       "      <td>31.732082</td>\n",
       "      <td>22.0</td>\n",
       "      <td>37.325939</td>\n",
       "      <td>22.0</td>\n",
       "      <td>507.590444</td>\n",
       "      <td>480.0</td>\n",
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       "    <tr>\n",
       "      <td>Белгородская область</td>\n",
       "      <td>968.472000</td>\n",
       "      <td>802.0</td>\n",
       "      <td>8.167200</td>\n",
       "      <td>6.0</td>\n",
       "      <td>711.811200</td>\n",
       "      <td>633.0</td>\n",
       "      <td>47.648800</td>\n",
       "      <td>41.0</td>\n",
       "      <td>168.863200</td>\n",
       "      <td>140.5</td>\n",
       "      <td>28.480800</td>\n",
       "      <td>21.0</td>\n",
       "      <td>39.845600</td>\n",
       "      <td>22.0</td>\n",
       "      <td>426.972800</td>\n",
       "      <td>397.0</td>\n",
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      "text/plain": [
       "                             total           invalid              valid  \\\n",
       "                              mean  median      mean median        mean   \n",
       "region                                                                    \n",
       "Алтайский край         1053.344791   823.0  6.446831    4.0  624.825994   \n",
       "Амурская область        845.874840   523.0  6.012771    4.0  504.464879   \n",
       "Архангельская область  1004.754065   581.5  5.611789    2.0  578.752033   \n",
       "Астраханская область   1313.324232  1283.5  8.715017    6.0  729.515358   \n",
       "Белгородская область    968.472000   802.0  8.167200    6.0  711.811200   \n",
       "\n",
       "                                     Zh                 Zu                Mi  \\\n",
       "                      median       mean median        mean median       mean   \n",
       "region                                                                         \n",
       "Алтайский край         495.0  52.610634   41.0  140.529001  109.5  24.641783   \n",
       "Амурская область       326.0  50.724138   31.0   86.121328   52.0  17.361430   \n",
       "Архангельская область  332.5  52.001016   29.0   93.138211   44.0  33.763211   \n",
       "Астраханская область   692.5  37.402730   31.0  115.464164  100.5  31.732082   \n",
       "Белгородская область   633.0  47.648800   41.0  168.863200  140.5  28.480800   \n",
       "\n",
       "                                     Pr                 Pu         \n",
       "                      median       mean median        mean median  \n",
       "region                                                             \n",
       "Алтайский край          15.0  44.993555   22.0  362.051020  305.5  \n",
       "Амурская область         9.0  29.463602   12.0  320.794381  224.0  \n",
       "Архангельская область   19.0  61.085366   20.5  338.764228  230.5  \n",
       "Астраханская область    22.0  37.325939   22.0  507.590444  480.0  \n",
       "Белгородская область    21.0  39.845600   22.0  426.972800  397.0  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.groupby(\"region\").agg([\"mean\", \"median\"]).head() # среднее и медиана"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Кроме того, внутри `.agg()` можно указывать свои функции. Например, нас интересует разница между максимальным и минимальным значением. Сначала напишем функцию `my_diff`, которая будет определять такую разность:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def my_diff(x):\n",
    "    return max(x) - min(x)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Проверим, как она работает:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_diff([4, 6, 8]) # все верно, 8 - 4 = 4"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Теперь используем эту функцию внутри `.agg()`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>invalid</th>\n",
       "      <th>valid</th>\n",
       "      <th>Zh</th>\n",
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       "      <th>Mi</th>\n",
       "      <th>Pr</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Алтайский край</td>\n",
       "      <td>3030.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>2389.0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>573.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>351.0</td>\n",
       "      <td>1639.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Амурская область</td>\n",
       "      <td>2942.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>1773.0</td>\n",
       "      <td>267.0</td>\n",
       "      <td>404.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>197.0</td>\n",
       "      <td>1201.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Архангельская область</td>\n",
       "      <td>2953.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>1951.0</td>\n",
       "      <td>232.0</td>\n",
       "      <td>407.0</td>\n",
       "      <td>153.0</td>\n",
       "      <td>369.0</td>\n",
       "      <td>1205.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Астраханская область</td>\n",
       "      <td>2936.0</td>\n",
       "      <td>223.0</td>\n",
       "      <td>1862.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>411.0</td>\n",
       "      <td>157.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>1367.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Белгородская область</td>\n",
       "      <td>2998.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>2118.0</td>\n",
       "      <td>234.0</td>\n",
       "      <td>612.0</td>\n",
       "      <td>108.0</td>\n",
       "      <td>335.0</td>\n",
       "      <td>1268.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        total  invalid   valid     Zh     Zu     Mi     Pr  \\\n",
       "region                                                                       \n",
       "Алтайский край         3030.0     72.0  2389.0  379.0  573.0  131.0  351.0   \n",
       "Амурская область       2942.0    130.0  1773.0  267.0  404.0   92.0  197.0   \n",
       "Архангельская область  2953.0     76.0  1951.0  232.0  407.0  153.0  369.0   \n",
       "Астраханская область   2936.0    223.0  1862.0  209.0  411.0  157.0  234.0   \n",
       "Белгородская область   2998.0     71.0  2118.0  234.0  612.0  108.0  335.0   \n",
       "\n",
       "                           Pu  \n",
       "region                         \n",
       "Алтайский край         1639.0  \n",
       "Амурская область       1201.0  \n",
       "Архангельская область  1205.0  \n",
       "Астраханская область   1367.0  \n",
       "Белгородская область   1268.0  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.groupby(\"region\").agg(my_diff).head() # везде смотрим на первые 5 строк"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Всё, что мы пока сделали, очень интересно, но есть проблема: все данные пока даны в абсолютных значениях, не в процентах. Это неудобно. Давайте сгруппируем данные по региону и добавим в базу с агрегированными данными новые столбцы: явка в процентах и проценты голосов за каждого кандидата.\n",
    "\n",
    "Для этого необходимо вспомнить, как считается явка и проценты голосов. Явка считается так: суммируем число действительных и недействительных бюллетеней. Чтобы получить явку в процентах, делим явку на общее число зарегистрированных избирателей и домножаем на $100$, чтобы перевести долю в проценты. Проценты голосов за кандидатов считаем от явки, берем число голосов за кандидата, делим на явку и домножаем на $100$. Проделаем это поэтапно. \n",
    "\n",
    "Сначала сохраним результат агрегирования в переменную `regs` и добавим новый столбец для явки в абсолютных значениях (в голосах)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "regs = d.groupby(\"region\").agg(\"sum\")\n",
    "\n",
    "# новый столбец - сумма двух старых\n",
    "regs[\"turnout\"] = regs[\"invalid\"] + regs[\"valid\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total</th>\n",
       "      <th>invalid</th>\n",
       "      <th>valid</th>\n",
       "      <th>Zh</th>\n",
       "      <th>Zu</th>\n",
       "      <th>Mi</th>\n",
       "      <th>Pr</th>\n",
       "      <th>Pu</th>\n",
       "      <th>turnout</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Алтайский край</td>\n",
       "      <td>1961328.0</td>\n",
       "      <td>12004.0</td>\n",
       "      <td>1163426.0</td>\n",
       "      <td>97961.0</td>\n",
       "      <td>261665.0</td>\n",
       "      <td>45883.0</td>\n",
       "      <td>83778.0</td>\n",
       "      <td>674139.0</td>\n",
       "      <td>1175430.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Амурская область</td>\n",
       "      <td>662320.0</td>\n",
       "      <td>4708.0</td>\n",
       "      <td>394996.0</td>\n",
       "      <td>39717.0</td>\n",
       "      <td>67433.0</td>\n",
       "      <td>13594.0</td>\n",
       "      <td>23070.0</td>\n",
       "      <td>251182.0</td>\n",
       "      <td>399704.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Архангельская область</td>\n",
       "      <td>988678.0</td>\n",
       "      <td>5522.0</td>\n",
       "      <td>569492.0</td>\n",
       "      <td>51169.0</td>\n",
       "      <td>91648.0</td>\n",
       "      <td>33223.0</td>\n",
       "      <td>60108.0</td>\n",
       "      <td>333344.0</td>\n",
       "      <td>575014.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           total  invalid      valid       Zh        Zu  \\\n",
       "region                                                                    \n",
       "Алтайский край         1961328.0  12004.0  1163426.0  97961.0  261665.0   \n",
       "Амурская область        662320.0   4708.0   394996.0  39717.0   67433.0   \n",
       "Архангельская область   988678.0   5522.0   569492.0  51169.0   91648.0   \n",
       "\n",
       "                            Mi       Pr        Pu    turnout  \n",
       "region                                                        \n",
       "Алтайский край         45883.0  83778.0  674139.0  1175430.0  \n",
       "Амурская область       13594.0  23070.0  251182.0   399704.0  \n",
       "Архангельская область  33223.0  60108.0  333344.0   575014.0  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regs.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Теперь добавим столбец с явкой в процентах:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "regs[\"turnout_perc\"] = regs[\"turnout\"] / regs[\"total\"] * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total</th>\n",
       "      <th>invalid</th>\n",
       "      <th>valid</th>\n",
       "      <th>Zh</th>\n",
       "      <th>Zu</th>\n",
       "      <th>Mi</th>\n",
       "      <th>Pr</th>\n",
       "      <th>Pu</th>\n",
       "      <th>turnout</th>\n",
       "      <th>turnout_perc</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Алтайский край</td>\n",
       "      <td>1961328.0</td>\n",
       "      <td>12004.0</td>\n",
       "      <td>1163426.0</td>\n",
       "      <td>97961.0</td>\n",
       "      <td>261665.0</td>\n",
       "      <td>45883.0</td>\n",
       "      <td>83778.0</td>\n",
       "      <td>674139.0</td>\n",
       "      <td>1175430.0</td>\n",
       "      <td>59.930313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Амурская область</td>\n",
       "      <td>662320.0</td>\n",
       "      <td>4708.0</td>\n",
       "      <td>394996.0</td>\n",
       "      <td>39717.0</td>\n",
       "      <td>67433.0</td>\n",
       "      <td>13594.0</td>\n",
       "      <td>23070.0</td>\n",
       "      <td>251182.0</td>\n",
       "      <td>399704.0</td>\n",
       "      <td>60.349076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Архангельская область</td>\n",
       "      <td>988678.0</td>\n",
       "      <td>5522.0</td>\n",
       "      <td>569492.0</td>\n",
       "      <td>51169.0</td>\n",
       "      <td>91648.0</td>\n",
       "      <td>33223.0</td>\n",
       "      <td>60108.0</td>\n",
       "      <td>333344.0</td>\n",
       "      <td>575014.0</td>\n",
       "      <td>58.159886</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           total  invalid      valid       Zh        Zu  \\\n",
       "region                                                                    \n",
       "Алтайский край         1961328.0  12004.0  1163426.0  97961.0  261665.0   \n",
       "Амурская область        662320.0   4708.0   394996.0  39717.0   67433.0   \n",
       "Архангельская область   988678.0   5522.0   569492.0  51169.0   91648.0   \n",
       "\n",
       "                            Mi       Pr        Pu    turnout  turnout_perc  \n",
       "region                                                                      \n",
       "Алтайский край         45883.0  83778.0  674139.0  1175430.0     59.930313  \n",
       "Амурская область       13594.0  23070.0  251182.0   399704.0     60.349076  \n",
       "Архангельская область  33223.0  60108.0  333344.0   575014.0     58.159886  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regs.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Осталось проделать аналогичные операции для голосов за разных кандидатов. Но повторять одно и то же пять раз не хочется (а что бы мы делали, если бы кандидатов было больше?). Давайте напишем функцию, которая будет принимать на вход столбец, делить все его значения на значения из столбца *turnout* и переводить все в проценты."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def to_perc(x):\n",
    "    return x / regs[\"turnout\"] * 100"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "А теперь выберем из базы данных столбцы с голосами за кандидатов и применим к ним нашу функцию – воспользуемся методом `.apply()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# axis = 0 - по столбцам, не по строкам \n",
    "perc = regs[[\"Zh\", \"Zu\", \"Mi\", \n",
    "             \"Pr\", \"Pu\"]].apply(to_perc, axis = 0) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Zh</th>\n",
       "      <th>Zu</th>\n",
       "      <th>Mi</th>\n",
       "      <th>Pr</th>\n",
       "      <th>Pu</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Алтайский край</td>\n",
       "      <td>8.334056</td>\n",
       "      <td>22.261215</td>\n",
       "      <td>3.903508</td>\n",
       "      <td>7.127434</td>\n",
       "      <td>57.352543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Амурская область</td>\n",
       "      <td>9.936603</td>\n",
       "      <td>16.870734</td>\n",
       "      <td>3.401017</td>\n",
       "      <td>5.771771</td>\n",
       "      <td>62.842003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Архангельская область</td>\n",
       "      <td>8.898740</td>\n",
       "      <td>15.938395</td>\n",
       "      <td>5.777772</td>\n",
       "      <td>10.453311</td>\n",
       "      <td>57.971458</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             Zh         Zu        Mi         Pr         Pu\n",
       "region                                                                    \n",
       "Алтайский край         8.334056  22.261215  3.903508   7.127434  57.352543\n",
       "Амурская область       9.936603  16.870734  3.401017   5.771771  62.842003\n",
       "Архангельская область  8.898740  15.938395  5.777772  10.453311  57.971458"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "perc.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Нужно переименовать столбцы в базе `perc`. Давайте сделаем это по-умному: возьмем названия столбцов в `perc` и приклеим к ним часть с `_perc`, чтобы названия столбцов с показателями в процентах отличались от показателей в абсолютных числах."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Zh_perc</th>\n",
       "      <th>Zu_perc</th>\n",
       "      <th>Mi_perc</th>\n",
       "      <th>Pr_perc</th>\n",
       "      <th>Pu_perc</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Алтайский край</td>\n",
       "      <td>8.334056</td>\n",
       "      <td>22.261215</td>\n",
       "      <td>3.903508</td>\n",
       "      <td>7.127434</td>\n",
       "      <td>57.352543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Амурская область</td>\n",
       "      <td>9.936603</td>\n",
       "      <td>16.870734</td>\n",
       "      <td>3.401017</td>\n",
       "      <td>5.771771</td>\n",
       "      <td>62.842003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Архангельская область</td>\n",
       "      <td>8.898740</td>\n",
       "      <td>15.938395</td>\n",
       "      <td>5.777772</td>\n",
       "      <td>10.453311</td>\n",
       "      <td>57.971458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Астраханская область</td>\n",
       "      <td>5.066539</td>\n",
       "      <td>15.640668</td>\n",
       "      <td>4.298398</td>\n",
       "      <td>5.056137</td>\n",
       "      <td>68.757729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Белгородская область</td>\n",
       "      <td>6.618087</td>\n",
       "      <td>23.453926</td>\n",
       "      <td>3.955785</td>\n",
       "      <td>5.534277</td>\n",
       "      <td>59.303557</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        Zh_perc    Zu_perc   Mi_perc    Pr_perc    Pu_perc\n",
       "region                                                                    \n",
       "Алтайский край         8.334056  22.261215  3.903508   7.127434  57.352543\n",
       "Амурская область       9.936603  16.870734  3.401017   5.771771  62.842003\n",
       "Архангельская область  8.898740  15.938395  5.777772  10.453311  57.971458\n",
       "Астраханская область   5.066539  15.640668  4.298398   5.056137  68.757729\n",
       "Белгородская область   6.618087  23.453926  3.955785   5.534277  59.303557"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# вместо цикла используем списковое включение с for\n",
    "# доклеиваем _perc ко всем названиям столбцов\n",
    "# заменяем значения .columns на новые\n",
    "\n",
    "perc.columns = [c + \"_perc\" for c in perc.columns]\n",
    "perc.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ура! Последний аккорд: соединим нашу таблицу `regs` с таблицей `perc`, чтобы все показатели были в одном месте. Просто склеим две таблицы по столбцам с помощью метода `.concat()`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# axis = 1 - склеивание по столбцам (доклеиваем новую таблицу справа)\n",
    "# axis = 0 - склеивание по строкам (доклеиваем новую таблицу снизу)\n",
    "\n",
    "final = pd.concat([regs, perc], axis = 1) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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>total</th>\n",
       "      <th>invalid</th>\n",
       "      <th>valid</th>\n",
       "      <th>Zh</th>\n",
       "      <th>Zu</th>\n",
       "      <th>Mi</th>\n",
       "      <th>Pr</th>\n",
       "      <th>Pu</th>\n",
       "      <th>turnout</th>\n",
       "      <th>turnout_perc</th>\n",
       "      <th>Zh_perc</th>\n",
       "      <th>Zu_perc</th>\n",
       "      <th>Mi_perc</th>\n",
       "      <th>Pr_perc</th>\n",
       "      <th>Pu_perc</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>region</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>Алтайский край</td>\n",
       "      <td>1961328.0</td>\n",
       "      <td>12004.0</td>\n",
       "      <td>1163426.0</td>\n",
       "      <td>97961.0</td>\n",
       "      <td>261665.0</td>\n",
       "      <td>45883.0</td>\n",
       "      <td>83778.0</td>\n",
       "      <td>674139.0</td>\n",
       "      <td>1175430.0</td>\n",
       "      <td>59.930313</td>\n",
       "      <td>8.334056</td>\n",
       "      <td>22.261215</td>\n",
       "      <td>3.903508</td>\n",
       "      <td>7.127434</td>\n",
       "      <td>57.352543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Амурская область</td>\n",
       "      <td>662320.0</td>\n",
       "      <td>4708.0</td>\n",
       "      <td>394996.0</td>\n",
       "      <td>39717.0</td>\n",
       "      <td>67433.0</td>\n",
       "      <td>13594.0</td>\n",
       "      <td>23070.0</td>\n",
       "      <td>251182.0</td>\n",
       "      <td>399704.0</td>\n",
       "      <td>60.349076</td>\n",
       "      <td>9.936603</td>\n",
       "      <td>16.870734</td>\n",
       "      <td>3.401017</td>\n",
       "      <td>5.771771</td>\n",
       "      <td>62.842003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Архангельская область</td>\n",
       "      <td>988678.0</td>\n",
       "      <td>5522.0</td>\n",
       "      <td>569492.0</td>\n",
       "      <td>51169.0</td>\n",
       "      <td>91648.0</td>\n",
       "      <td>33223.0</td>\n",
       "      <td>60108.0</td>\n",
       "      <td>333344.0</td>\n",
       "      <td>575014.0</td>\n",
       "      <td>58.159886</td>\n",
       "      <td>8.898740</td>\n",
       "      <td>15.938395</td>\n",
       "      <td>5.777772</td>\n",
       "      <td>10.453311</td>\n",
       "      <td>57.971458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Астраханская область</td>\n",
       "      <td>769608.0</td>\n",
       "      <td>5107.0</td>\n",
       "      <td>427496.0</td>\n",
       "      <td>21918.0</td>\n",
       "      <td>67662.0</td>\n",
       "      <td>18595.0</td>\n",
       "      <td>21873.0</td>\n",
       "      <td>297448.0</td>\n",
       "      <td>432603.0</td>\n",
       "      <td>56.210824</td>\n",
       "      <td>5.066539</td>\n",
       "      <td>15.640668</td>\n",
       "      <td>4.298398</td>\n",
       "      <td>5.056137</td>\n",
       "      <td>68.757729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>Белгородская область</td>\n",
       "      <td>1210590.0</td>\n",
       "      <td>10209.0</td>\n",
       "      <td>889764.0</td>\n",
       "      <td>59561.0</td>\n",
       "      <td>211079.0</td>\n",
       "      <td>35601.0</td>\n",
       "      <td>49807.0</td>\n",
       "      <td>533716.0</td>\n",
       "      <td>899973.0</td>\n",
       "      <td>74.341685</td>\n",
       "      <td>6.618087</td>\n",
       "      <td>23.453926</td>\n",
       "      <td>3.955785</td>\n",
       "      <td>5.534277</td>\n",
       "      <td>59.303557</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           total  invalid      valid       Zh        Zu  \\\n",
       "region                                                                    \n",
       "Алтайский край         1961328.0  12004.0  1163426.0  97961.0  261665.0   \n",
       "Амурская область        662320.0   4708.0   394996.0  39717.0   67433.0   \n",
       "Архангельская область   988678.0   5522.0   569492.0  51169.0   91648.0   \n",
       "Астраханская область    769608.0   5107.0   427496.0  21918.0   67662.0   \n",
       "Белгородская область   1210590.0  10209.0   889764.0  59561.0  211079.0   \n",
       "\n",
       "                            Mi       Pr        Pu    turnout  turnout_perc  \\\n",
       "region                                                                       \n",
       "Алтайский край         45883.0  83778.0  674139.0  1175430.0     59.930313   \n",
       "Амурская область       13594.0  23070.0  251182.0   399704.0     60.349076   \n",
       "Архангельская область  33223.0  60108.0  333344.0   575014.0     58.159886   \n",
       "Астраханская область   18595.0  21873.0  297448.0   432603.0     56.210824   \n",
       "Белгородская область   35601.0  49807.0  533716.0   899973.0     74.341685   \n",
       "\n",
       "                        Zh_perc    Zu_perc   Mi_perc    Pr_perc    Pu_perc  \n",
       "region                                                                      \n",
       "Алтайский край         8.334056  22.261215  3.903508   7.127434  57.352543  \n",
       "Амурская область       9.936603  16.870734  3.401017   5.771771  62.842003  \n",
       "Архангельская область  8.898740  15.938395  5.777772  10.453311  57.971458  \n",
       "Астраханская область   5.066539  15.640668  4.298398   5.056137  68.757729  \n",
       "Белгородская область   6.618087  23.453926  3.955785   5.534277  59.303557  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Приличную базу мы получили, можно перейти к чему-то более содержательному."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ещё немного про визуализацию данных"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "В прошлый раз мы познакомились с тем, как строить графики для переменных в датафрейме. Давайте посмотрим на диаграммы рассеяния – графики, которые позволяют увидеть совместное распределение пары количественных показателей. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib # загружаем библиотеку для графиков"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "А теперь сама диаграмма рассеяния (*scatterplot*) для показателей *явка в процентах* и *процент за Зюганова*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11d613a50>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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/dwIBPAx8KiKe6tooraFOF1C1mmbq9k3bTsff6PkTO6GZWWtaueH7LeB24FDgzcAd1Dp7llpe6si7kYvPcqvETseflwVkZmXRSvBXRPxNRIwmf/6W2juA0urGJindksUCqm7qdPxF//ub5U0rjd2uBnYAt1IL+h8BBoEvA0TEz1IaI9D7nH8empQ1GleR+9Z0q9qnqH9/s17rRmO3jyQfPzHl+O9Ruxgc2ebYcikPTcrKqNN7Ce7bY9YdTQf/iDhiuu9Lel9E3Nf5kPIhrRxzJzPXRqWSng2bWatamfnP5BqgNMEf4KL3HMX19/+Y2f3dqSPvpM69UTuDV14f5c///kfub2NmLelm8K/fUKaAJgdpCJafeiTnn7x4r8Df6my701409dJQ/X3iqr/byK6xyGV/G78jMcuvbgb/UlT+1AvSX37gx5x/8uJfPqadGXyn9xDqpqHGgoH+PnaN7WmxlJf7Eu64aZZvLTV2q4KZGoY16sU/0zqATu8h1Ct1/NNfP46xKdVau8fH2X92f6ZrE9o9R2bWO92c+T/dxdfKzExBut0ZfDd65tRbpXvA4Ky9XvPcoUWcef2aTGfcrpQyy79W2jv8br3jEfHN5ONvdmtQWZopSHcyg+/GRidTSx3rNXDLuse9V+Oa5V8rM/9/M+nzOcAZwKPANxs9QdLXgTOBlyLi+OTYZ4ELga3Jwz4TEd9pYRypmy5IdzqDT6NOfeI11z+3Ixcz7jQ7g5pZd7RS5/+Hk7+W9Ebgb2Z42l8D17PvBeKLEXFdsz87C9MF6V5uVdiKPM2483qOzKymkxu+vwCOme4BEfEDINW2D1nJsklaI830v2m1UV0nje3yeI7MrKaVnP/fsaecsw84jlqXz3ZcnNxDGAYui4jtDX7mcmA5wOLFi+s9xKaYbsbdavmlyzXNymvGxm6Sfi0ivivpVycdHgWeAU6JiDtmeP4S4J5JOf9DgJ9Su5D8OXBoRPzeTAOt+mYunWq1UV1eG9uZWWsaNXZrJu3zHUn3Az+OiAeTPw9FxGbgP7c6kIh4MSLGImIc+CpwUquvUTXd2FOg1Q3PvUF6c/Ky34NZq5pJ+2ygtpHLw5IumzLTb7mlg6RDI+KF5MsPAU+0+hpV0q3US6s3g/N08zivnBazImtm5h8R8VXgvcDlkr4hab+J7033REm3UNvu8VhJmyV9HLhW0uOSNgCnAZ/qYPyl1s2Vso1uBgN1Z67ePGV67f7b+J2C5UUrpZ7/JOkU4C+Axxot+prynPPqHL6xhfFVWrdXyk69Gbzmxz9l2TXfbzhzdblmY+382/idguVJMzP/X6Z2ku0br6S2ocstwNFpDczSSb1MlF8CTc1cXa5ZX6v/Nu53ZHnTTPC/auqBiHgAeAfwl90ekO2RZurFN3QbayY10+q/jc+35c2MaZ+I+F8Njm8Hru76iGwvaaVefEO3vlZSM6382/h8W964pXMBpJF68Q3dfbWTmmn238bn2/Kmmy2drWDKcEO3m7uFpd2Kugzn28rDwb/i0ugy2ivdrp7pRWqmyOfbysVpHyukNKpnnJqxKvHMv+TKuol6Wikap2asKhz8S6zMi4rSTNE4NWNV4LRPSZV9UZFTNGad8cy/pKqwibpTNGbtc/AvqaosKnKKxqw9TvuUlNMiZjYdz/xLzGkRM2vEwT8H0izHrEJapKzlrGZpcvDPWJnLMXvB58+sPc75Z6js5Zhp8/kza5+Df4bc470zPn9m7XPwz1BVyjHT4vNn1j4H/wy5HLMzPn9m7VNEZD2GpgwNDcXw8HDWw0iFq1U6U+XzV+W/uzVH0tqIGJp63NU+OVCFcsw0VfX8udLJOuG0j1kBudLJOuXgb1ZArnSyTjn4mxWQK52sUw7+ZgXkSifrlG/4mhWUG/dZJxz8zQqsqpVO1jmnfczMKsjB38ysghz8zcwqKNXgL+nrkl6S9MSkYwdJuk/Sk8nH+WmOwczM9pX2zP+vgX8/5diVwOqIOBpYnXxtZmY9lGrwj4gfAD+bcviDwE3J5zcBv5HmGMzMbF9Z5PwPiYgXAJKPb2r0QEnLJQ1LGt66dWvPBmhmVna5vuEbESsiYigihhYuXJj1cMzMSiOL4P+ipEMBko8vZTAGM7NKyyL43w1ckHx+AbAqgzGYmVVa2qWetwAPA8dK2izp48DVwPskPQm8L/nazMx6KNXePhFxXoNvnZHmzzWz5nkryGpyYzezCvNWkNWV62ofM0uPt4KsNgd/s4ryVpDV5uBvVlHeCrLaHPzNKspbQVabb/iaVZi3gqwuB3+zAutGmaa3gqwmB3+zgnKZpnXCOX+zAnKZpnXKwd+sgFymaZ1y8DcrIJdpWqcc/M0KyGWa1inf8DUrKJdpWicc/M0KzGWazSlq59I0x+3gb2alVtSS2LTH7Zy/mZVWUUtiezFuB38zK62ilsT2YtwO/mZWWkUtie3FuB38zay0iloS24txKyK69mJpGhoaiuHh4ayHYWYFVOVqH0lrI2Jo6nFX+5hZ6RW1JDbNcTvtY2ZWQQ7+ZmYV5OBvZjbJtp0jrH9uR+7XAnTKOX8zs0RRVwO3wzN/MzPqr6r99J35Xw3cLgd/MzPqr6odGR3nW48829LrFCVt5LSPmRm1VbW7xsb3OX79/U9y/smLmyq5LFLayDN/MzNqNfUXn3bUPsdn9/c31VOnaE3kHPzNzBLnn7yYwVna61izPXWK1kTOwd/MLLFg3iCfO+fEtnrqFK2JXGY5f0lPA68AY8Bovd4TZma91u72mBPN2C6fkvPPa1uJrG/4nhYRP814DGZme2m3p06R9lXOOvibmZVKUZrIZZnzD+B7ktZKWl7vAZKWSxqWNLx169YeD8/MrLyyDP7LIuLtwPuBiySdOvUBEbEiIoYiYmjhwoW9H6GZ9VRRFkiVQWZpn4h4Pvn4kqRvAycBP8hqPGaWrSItkILibhAzIZPgL2l/oC8iXkk+/3fAn2UxFjPL3uQFUq9TK5e8fOUGlh11cC4Da9EuVPVklfY5BFgjaT3wQ+DvI+LejMZiZhkr0gKpoq3kbSSTmX9EPAWcmMXPNrP8KdICqYkL1cQ7FNhzocrju5RGvMLXzDI3sUCqnZW1vVakC9V0XOdvZrlQlAVSRVvJ24iDv5nlRlEWSBXlQjUdB38zszYU5ULViHP+ZmYV5OBvZlZBDv5mZhXk4G9mVkEO/mZmFaSIyHoMTZG0FXgm63Fk6GDAG9/U53NTn89LY1U6N/8yIvZpi1yY4F91koa91WV9Pjf1+bw05nPjtI+ZWSU5+JuZVZCDf3GsyHoAOeZzU5/PS2OVPzfO+ZuZVZBn/mZmFeTgb2ZWQQ7+OSXpQEl3SvoHSZsknSLpIEn3SXoy+Tg/63H2kqRjJa2b9OdlSZdW/bxMkPQpSRslPSHpFklzJB0h6ZHk3NwmaXbW4+w1SZck52SjpEuTY5X/nXHwz68vAfdGxL+ituXlJuBKYHVEHA2sTr6ujIj4x4hYGhFLgXcAvwC+TcXPC4Ckw4A/AoYi4nigH/gt4Brgi8m52Q58PLtR9p6k44ELgZOo/T86U9LR+HfGwT+PJL0BOBW4ESAidkXEDuCDwE3Jw24CfiObEebCGcBPIuIZfF4mzALmSpoF7Ae8AJwO3Jl8v4rn5leA/xMRv4iIUeBB4EP4d8bBP6eOBLYC35D0mKSvSdofOCQiXgBIPr4py0Fm7LeAW5LPK39eImILcB3wLLWg/3NgLbAjCXoAm4HDshlhZp4ATpW0QNJ+wAeAw/HvjIN/Ts0C3g7cEBFvA16lgm9LG0ny1mcBd2Q9lrxIctYfBI4A3gzsD7y/zkMrVdsdEZuopb7uA+4F1gOj0z6pIhz882kzsDkiHkm+vpPaxeBFSYcCJB9fymh8WXs/8GhEvJh87fMC7wX+OSK2RsRu4C7gXcCBSRoIYBHwfFYDzEpE3BgRb4+IU4GfAU/i3xkH/zyKiP8HPCfp2OTQGcCPgLuBC5JjFwCrMhheHpzHnpQP+LxALd3zTkn7SRJ7fmfuB85JHlPJcyPpTcnHxcBvUvvdqfzvjFf45pSkpcDXgNnAU8B/pHaxvh1YTO0/+4cj4meZDTIDSd72OeDIiPh5cmwBFT8vAJKuAj5CLa3xGPD71HL8twIHJcc+GhEjmQ0yA5L+N7AA2A38cUSs9u+Mg7+ZWSU57WNmVkEO/mZmFeTgb2ZWQQ7+ZmYV5OBvhZc0wftkxmP4TJY/36xVrvaxwpO0BLgnaWjW7HP6I2Ksi2PYGRHzuvV6dV5/1qQ2DWYd88zfyuBq4C1Jm+f/K+meiW9Iul7Sx5LPn5b0XyWtAT4s6QFJ10j6oaR/kvRvk8fNkfQNSY8nvZVOS45/TNL1k177HknvkXQ1tYZq6yTdXG+AkpYk7blvkrQhade9X/K9d0h6UNJaSd+dtPL0AUn/TdKDwCWSDpH0bUnrkz/vSuVsWiU4+FsZXEmtw+dS4NMzPPb1iHh3RNyafD0rIk4CLgX+NDl2EUBE/Gtqq4lvkjSn0QtGxJXAa0m76d+e5mcfC6yIiBOAl4FPShoA/go4JyLeAXwd+MtJzzkwIn41Ij4P/A/gwYg4kVq7j40z/F3NGpo180PMSuW2KV/flXxcCyxJPn83tYBMRPyDpGeAY7rws5+LiIeSz/+WWv/9e4HjgftqXRnop9aVs954Twd+NxnXGLXOnWZtcfC3shll73e0U2fsr075eqLVwRh7/j+ozdeeydQbbJH8rI0RcUqD50wdr1lXOO1jZfAKcEDy+TPAcZIGJb2RWoOzVv0A+G0AScdQ6//yj8DTwFJJfZIOp7Y71ITdSQpnOoslTQT584A1yesunDguaUDSWxs8fzXwB8nj+pNNf8za4uBvhRcR24CHJD1BLZVyO7ABuJlaM7NW/U+gX9Lj1NIuH0uaoT0E/DPwOLWNUx6d9JwVwIZGN3wTm4ALJG2g1mjthojYRa3r5jWS1gPrqLVirucS4LRkXGuBRhcJsxm51NOsB9opRzVLk2f+ZmYV5Jm/WRclfeJX1/nWGUl6yiwXHPzNzCrIaR8zswpy8DczqyAHfzOzCnLwNzOrIAd/M7MKcvA3M6ug/w8U501TCWHWXgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "final.plot.scatter(\"turnout_perc\", \"Zu_perc\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Можем привести график в порядок. Добавить заголовок и подписи к осям, плюс, изменить цвет точек. Для этого основной график сохраним в переменную `ax`, а затем применим к ней методы, которые отвечают за добавление заголовка и названиям осей *x* и *y*. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Число голосов за Зюганова (в %)')"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# цвет red\n",
    "ax = final.plot.scatter(\"turnout_perc\", \"Zu_perc\", color = \"red\") \n",
    "# заголовок для объекта ax\n",
    "ax.set_title(\"Диаграмма рассеивания\") \n",
    "# подпись для оси x\n",
    "ax.set_xlabel(\"Явка (в %)\") \n",
    "# подпись для оси y\n",
    "ax.set_ylabel(\"Число голосов за Зюганова (в %)\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "По графику видно, что, в целом, чем выше явка, тем ниже процент голосов за Зюганова. Углубляться в разные настройки графиков и в статистику не будем, но познакомимся с примером графика средствами библиотеки `pandas`. Построим матрицу диаграмм рассеяния (*scatterplot matrix*), сетку с диаграммами рассеяния для всех пар показателей.\n",
    "\n",
    "Логично будет строить такой график для переменных в базе `perc`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# импортируем функцию\n",
    "from pandas.plotting import scatter_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x118ed5fd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11defba10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11df38d90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11df6fa50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11dfabdd0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x11dfe3a90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e021d50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e055910>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e05f490>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e093e10>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x11e109cd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e13f990>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e17dd10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e3769d0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e6b4d50>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x11e6eba10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e72bd90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e762a50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e79fdd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e7d6a90>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x11e814e10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e84bad0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e88ae50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e8c1b10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11e8ffe90>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# строим график\n",
    "scatter_matrix(perc, diagonal = \"hist\", figsize = (10, 10)) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Аргумент `diagonal` отвечает за тип графика, который будет находиться на диагонали (в нашем случае гистограмма – `\"hist\"`), а аргумент `figsize` – за размер графика (по горизонтали и по вертикали). На диагоналях также можно построить сглаженные графики плотности распределения показателей:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x11dec4710>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11ff023d0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x11ff837d0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120116fd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120157810>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x12018bf90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1201cc850>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x12020b090>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x12020bbd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x12024c590>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1202b98d0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1202f6c50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x12032e910>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x12036cc90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1203a4950>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1203e1cd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120417990>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120455d10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x12048b9d0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1204cbd50>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x120503a10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120540d90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x120576750>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1205a7f50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1205e7790>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# kde - от kernel density estimation – \n",
    "# график плотности – как сглаженный вариант гистограммы\n",
    "\n",
    "scatter_matrix(perc, diagonal = \"kde\", \n",
    "               figsize = (10, 10)) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Поиграем с цветами. Изменим цвет точек на всех диаграммах рассеяния:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x11ff0b9d0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22431c90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2247fa50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2265fdd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22695a90>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a226d2e10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22708ad0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2274a310>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2274ae50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22789810>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a227f5b50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22833ed0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22868b90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a228a8f10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a228dfbd0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a2291ef50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22955c10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22990d90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a229c3a50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22a03dd0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a22a38a90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22a78e10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22aadad0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22aeee50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a22b23b10>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "scatter_matrix(perc, diagonal = \"hist\", \n",
    "               figsize = (10, 10), \n",
    "               color = \"green\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "А теперь цвет гистограмм. Это сделать чуть сложнее, поскольку нужно задавать значения аргуметов как `*kwargs`, в виде словаря:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<matplotlib.axes._subplots.AxesSubplot object at 0x1a22da3550>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23786090>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a237b8c10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23959f90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a2398ec50>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a239cffd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23a02c90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23a424d0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23a4f050>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23a819d0>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a23aedd10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23b2e550>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23b63d50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23ba5590>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23bd8d90>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a23c1a5d0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23c4cdd0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23c8e610>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23cc2e10>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23d04650>],\n",
       "       [<matplotlib.axes._subplots.AxesSubplot object at 0x1a23d37e50>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23d79690>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23daee90>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23dee6d0>,\n",
       "        <matplotlib.axes._subplots.AxesSubplot object at 0x1a23e23ed0>]],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 25 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# заодно выставим число столбцов bins = 10\n",
    "# и прозрачность 40% alpha = 0.4\n",
    "# а также цвет границ столбцов edgecolor\n",
    "\n",
    "scatter_matrix(perc, diagonal = \"hist\", figsize = (10, 10), color = \"green\", \n",
    "               hist_kwds = {\"color\": \"red\", \"edgecolor\" : \"black\",\n",
    "                            \"bins\" : 10, \"alpha\" : 0.4})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "На этом пока всё."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}