{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Лабораторная работа №1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Датасет 12. Цены на акции Starbucks."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1) Загрузка и сохранение данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "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",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1992-06-26</td>\n",
       "      <td>0.328125</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.320313</td>\n",
       "      <td>0.335938</td>\n",
       "      <td>0.260703</td>\n",
       "      <td>224358400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1992-06-29</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.332031</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.278891</td>\n",
       "      <td>58732800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992-06-30</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.371094</td>\n",
       "      <td>0.343750</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.269797</td>\n",
       "      <td>34777600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1992-07-01</td>\n",
       "      <td>0.351563</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>18316800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1992-07-02</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>13996800</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date      Open      High       Low     Close  Adj Close     Volume\n",
       "0  1992-06-26  0.328125  0.347656  0.320313  0.335938   0.260703  224358400\n",
       "1  1992-06-29  0.339844  0.367188  0.332031  0.359375   0.278891   58732800\n",
       "2  1992-06-30  0.367188  0.371094  0.343750  0.347656   0.269797   34777600\n",
       "3  1992-07-01  0.351563  0.359375  0.339844  0.355469   0.275860   18316800\n",
       "4  1992-07-02  0.359375  0.359375  0.347656  0.355469   0.275860   13996800"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"coffee.csv\")\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8034</th>\n",
       "      <td>2024-05-22</td>\n",
       "      <td>77.699997</td>\n",
       "      <td>81.019997</td>\n",
       "      <td>77.440002</td>\n",
       "      <td>80.720001</td>\n",
       "      <td>80.720001</td>\n",
       "      <td>22063400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8035</th>\n",
       "      <td>2024-05-23</td>\n",
       "      <td>80.099998</td>\n",
       "      <td>80.699997</td>\n",
       "      <td>79.169998</td>\n",
       "      <td>79.260002</td>\n",
       "      <td>79.260002</td>\n",
       "      <td>4651418</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date       Open       High        Low      Close  Adj Close  \\\n",
       "8034  2024-05-22  77.699997  81.019997  77.440002  80.720001  80.720001   \n",
       "8035  2024-05-23  80.099998  80.699997  79.169998  79.260002  79.260002   \n",
       "\n",
       "        Volume  \n",
       "8034  22063400  \n",
       "8035   4651418  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"newCoffee.csv\", index=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "2) Получение сведений о датафрейме с данными"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>8036.000000</td>\n",
       "      <td>8036.000000</td>\n",
       "      <td>8036.000000</td>\n",
       "      <td>8036.000000</td>\n",
       "      <td>8036.000000</td>\n",
       "      <td>8.036000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>30.054280</td>\n",
       "      <td>30.351487</td>\n",
       "      <td>29.751322</td>\n",
       "      <td>30.058857</td>\n",
       "      <td>26.674025</td>\n",
       "      <td>1.470459e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>33.615577</td>\n",
       "      <td>33.906613</td>\n",
       "      <td>33.314569</td>\n",
       "      <td>33.615911</td>\n",
       "      <td>31.728090</td>\n",
       "      <td>1.340021e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.328125</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.320313</td>\n",
       "      <td>0.335938</td>\n",
       "      <td>0.260703</td>\n",
       "      <td>1.504000e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.392031</td>\n",
       "      <td>4.531250</td>\n",
       "      <td>4.304922</td>\n",
       "      <td>4.399610</td>\n",
       "      <td>3.414300</td>\n",
       "      <td>7.817750e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>13.325000</td>\n",
       "      <td>13.493750</td>\n",
       "      <td>13.150000</td>\n",
       "      <td>13.330000</td>\n",
       "      <td>10.352452</td>\n",
       "      <td>1.169815e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>55.250000</td>\n",
       "      <td>55.722501</td>\n",
       "      <td>54.852499</td>\n",
       "      <td>55.267499</td>\n",
       "      <td>47.464829</td>\n",
       "      <td>1.778795e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>126.080002</td>\n",
       "      <td>126.320000</td>\n",
       "      <td>124.809998</td>\n",
       "      <td>126.059998</td>\n",
       "      <td>118.010414</td>\n",
       "      <td>5.855088e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Open         High          Low        Close    Adj Close  \\\n",
       "count  8036.000000  8036.000000  8036.000000  8036.000000  8036.000000   \n",
       "mean     30.054280    30.351487    29.751322    30.058857    26.674025   \n",
       "std      33.615577    33.906613    33.314569    33.615911    31.728090   \n",
       "min       0.328125     0.347656     0.320313     0.335938     0.260703   \n",
       "25%       4.392031     4.531250     4.304922     4.399610     3.414300   \n",
       "50%      13.325000    13.493750    13.150000    13.330000    10.352452   \n",
       "75%      55.250000    55.722501    54.852499    55.267499    47.464829   \n",
       "max     126.080002   126.320000   124.809998   126.059998   118.010414   \n",
       "\n",
       "             Volume  \n",
       "count  8.036000e+03  \n",
       "mean   1.470459e+07  \n",
       "std    1.340021e+07  \n",
       "min    1.504000e+06  \n",
       "25%    7.817750e+06  \n",
       "50%    1.169815e+07  \n",
       "75%    1.778795e+07  \n",
       "max    5.855088e+08  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 8036 entries, 0 to 8035\n",
      "Data columns (total 7 columns):\n",
      " #   Column     Non-Null Count  Dtype  \n",
      "---  ------     --------------  -----  \n",
      " 0   Date       8036 non-null   object \n",
      " 1   Open       8036 non-null   float64\n",
      " 2   High       8036 non-null   float64\n",
      " 3   Low        8036 non-null   float64\n",
      " 4   Close      8036 non-null   float64\n",
      " 5   Adj Close  8036 non-null   float64\n",
      " 6   Volume     8036 non-null   int64  \n",
      "dtypes: float64(5), int64(1), object(1)\n",
      "memory usage: 439.6+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "3. Получение сведений о колонках датафрейма"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Date', 'Open', 'High', 'Low', 'Close', 'Adj Close', 'Volume'], dtype='object')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "4. Вывод отдельных строк и столбцов из датафрейма"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.328125</td>\n",
       "      <td>0.335938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.359375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.347656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.351563</td>\n",
       "      <td>0.355469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.355469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8031</th>\n",
       "      <td>75.269997</td>\n",
       "      <td>77.849998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8032</th>\n",
       "      <td>77.680000</td>\n",
       "      <td>77.540001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8033</th>\n",
       "      <td>77.559998</td>\n",
       "      <td>77.720001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8034</th>\n",
       "      <td>77.699997</td>\n",
       "      <td>80.720001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8035</th>\n",
       "      <td>80.099998</td>\n",
       "      <td>79.260002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8036 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           Open      Close\n",
       "0      0.328125   0.335938\n",
       "1      0.339844   0.359375\n",
       "2      0.367188   0.347656\n",
       "3      0.351563   0.355469\n",
       "4      0.359375   0.355469\n",
       "...         ...        ...\n",
       "8031  75.269997  77.849998\n",
       "8032  77.680000  77.540001\n",
       "8033  77.559998  77.720001\n",
       "8034  77.699997  80.720001\n",
       "8035  80.099998  79.260002\n",
       "\n",
       "[8036 rows x 2 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[[\"Open\", \"Close\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1992-07-06</td>\n",
       "      <td>0.351563</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>5753600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1992-07-07</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>10662400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1992-07-08</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.343750</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.269797</td>\n",
       "      <td>15500800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1992-07-09</td>\n",
       "      <td>0.351563</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.278891</td>\n",
       "      <td>3923200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1992-07-10</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.351563</td>\n",
       "      <td>0.363281</td>\n",
       "      <td>0.281923</td>\n",
       "      <td>11040000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date      Open      High       Low     Close  Adj Close    Volume\n",
       "5  1992-07-06  0.351563  0.355469  0.347656  0.355469   0.275860   5753600\n",
       "6  1992-07-07  0.355469  0.355469  0.347656  0.355469   0.275860  10662400\n",
       "7  1992-07-08  0.355469  0.355469  0.343750  0.347656   0.269797  15500800\n",
       "8  1992-07-09  0.351563  0.359375  0.347656  0.359375   0.278891   3923200\n",
       "9  1992-07-10  0.359375  0.367188  0.351563  0.363281   0.281923  11040000"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.iloc[5:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7322</th>\n",
       "      <td>2021-07-23</td>\n",
       "      <td>124.550003</td>\n",
       "      <td>126.320000</td>\n",
       "      <td>123.919998</td>\n",
       "      <td>125.970001</td>\n",
       "      <td>117.926170</td>\n",
       "      <td>7934200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7323</th>\n",
       "      <td>2021-07-26</td>\n",
       "      <td>125.739998</td>\n",
       "      <td>126.099998</td>\n",
       "      <td>124.250000</td>\n",
       "      <td>126.059998</td>\n",
       "      <td>118.010414</td>\n",
       "      <td>4827500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7324</th>\n",
       "      <td>2021-07-27</td>\n",
       "      <td>126.080002</td>\n",
       "      <td>126.160004</td>\n",
       "      <td>124.809998</td>\n",
       "      <td>126.029999</td>\n",
       "      <td>117.982330</td>\n",
       "      <td>6110900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7325</th>\n",
       "      <td>2021-07-28</td>\n",
       "      <td>122.559998</td>\n",
       "      <td>123.330002</td>\n",
       "      <td>121.389999</td>\n",
       "      <td>122.410004</td>\n",
       "      <td>114.593483</td>\n",
       "      <td>11747000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7326</th>\n",
       "      <td>2021-07-29</td>\n",
       "      <td>122.930000</td>\n",
       "      <td>123.470001</td>\n",
       "      <td>122.139999</td>\n",
       "      <td>122.379997</td>\n",
       "      <td>114.565414</td>\n",
       "      <td>6618400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7327</th>\n",
       "      <td>2021-07-30</td>\n",
       "      <td>122.190002</td>\n",
       "      <td>122.980003</td>\n",
       "      <td>121.099998</td>\n",
       "      <td>121.430000</td>\n",
       "      <td>113.676071</td>\n",
       "      <td>5712300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7328</th>\n",
       "      <td>2021-08-02</td>\n",
       "      <td>122.029999</td>\n",
       "      <td>122.980003</td>\n",
       "      <td>120.070000</td>\n",
       "      <td>120.370003</td>\n",
       "      <td>112.683769</td>\n",
       "      <td>5996800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7329</th>\n",
       "      <td>2021-08-03</td>\n",
       "      <td>120.570000</td>\n",
       "      <td>120.750000</td>\n",
       "      <td>117.519997</td>\n",
       "      <td>119.129997</td>\n",
       "      <td>111.522942</td>\n",
       "      <td>6030500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date        Open        High         Low       Close   Adj Close  \\\n",
       "7322  2021-07-23  124.550003  126.320000  123.919998  125.970001  117.926170   \n",
       "7323  2021-07-26  125.739998  126.099998  124.250000  126.059998  118.010414   \n",
       "7324  2021-07-27  126.080002  126.160004  124.809998  126.029999  117.982330   \n",
       "7325  2021-07-28  122.559998  123.330002  121.389999  122.410004  114.593483   \n",
       "7326  2021-07-29  122.930000  123.470001  122.139999  122.379997  114.565414   \n",
       "7327  2021-07-30  122.190002  122.980003  121.099998  121.430000  113.676071   \n",
       "7328  2021-08-02  122.029999  122.980003  120.070000  120.370003  112.683769   \n",
       "7329  2021-08-03  120.570000  120.750000  117.519997  119.129997  111.522942   \n",
       "\n",
       "        Volume  \n",
       "7322   7934200  \n",
       "7323   4827500  \n",
       "7324   6110900  \n",
       "7325  11747000  \n",
       "7326   6618400  \n",
       "7327   5712300  \n",
       "7328   5996800  \n",
       "7329   6030500  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df['Open'] > 120]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "5. Группировка и агрегация данных в датафрейме"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Low</th>\n",
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       "    <tr>\n",
       "      <th>High</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0.347656</th>\n",
       "      <td>0.320313</td>\n",
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       "    <tr>\n",
       "      <th>0.355469</th>\n",
       "      <td>0.346354</td>\n",
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       "      <th>0.359375</th>\n",
       "      <td>0.345052</td>\n",
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       "      <th>0.367188</th>\n",
       "      <td>0.341797</td>\n",
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       "      <th>0.371094</th>\n",
       "      <td>0.351562</td>\n",
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       "      <th>...</th>\n",
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       "      <th>123.330002</th>\n",
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       "      <th>123.470001</th>\n",
       "      <td>122.139999</td>\n",
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       "    <tr>\n",
       "      <th>126.099998</th>\n",
       "      <td>124.250000</td>\n",
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       "    <tr>\n",
       "      <th>126.160004</th>\n",
       "      <td>124.809998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126.320000</th>\n",
       "      <td>123.919998</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>5245 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Low\n",
       "High                  \n",
       "0.347656      0.320313\n",
       "0.355469      0.346354\n",
       "0.359375      0.345052\n",
       "0.367188      0.341797\n",
       "0.371094      0.351562\n",
       "...                ...\n",
       "123.330002  121.389999\n",
       "123.470001  122.139999\n",
       "126.099998  124.250000\n",
       "126.160004  124.809998\n",
       "126.320000  123.919998\n",
       "\n",
       "[5245 rows x 1 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group = df.groupby(['High'])['Low'].mean()\n",
    "group.to_frame()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "6. Сортировка данных в датафрейме"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1992-06-26</td>\n",
       "      <td>0.328125</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.320313</td>\n",
       "      <td>0.335938</td>\n",
       "      <td>0.260703</td>\n",
       "      <td>224358400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1992-06-29</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.332031</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.278891</td>\n",
       "      <td>58732800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992-06-30</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.371094</td>\n",
       "      <td>0.343750</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.269797</td>\n",
       "      <td>34777600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1992-07-01</td>\n",
       "      <td>0.351563</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>18316800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1992-07-02</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>13996800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>8031</th>\n",
       "      <td>2024-05-17</td>\n",
       "      <td>75.269997</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>74.919998</td>\n",
       "      <td>77.849998</td>\n",
       "      <td>77.849998</td>\n",
       "      <td>14436500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8032</th>\n",
       "      <td>2024-05-20</td>\n",
       "      <td>77.680000</td>\n",
       "      <td>78.320000</td>\n",
       "      <td>76.709999</td>\n",
       "      <td>77.540001</td>\n",
       "      <td>77.540001</td>\n",
       "      <td>11183800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8033</th>\n",
       "      <td>2024-05-21</td>\n",
       "      <td>77.559998</td>\n",
       "      <td>78.220001</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>77.720001</td>\n",
       "      <td>77.720001</td>\n",
       "      <td>8916600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8034</th>\n",
       "      <td>2024-05-22</td>\n",
       "      <td>77.699997</td>\n",
       "      <td>81.019997</td>\n",
       "      <td>77.440002</td>\n",
       "      <td>80.720001</td>\n",
       "      <td>80.720001</td>\n",
       "      <td>22063400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8035</th>\n",
       "      <td>2024-05-23</td>\n",
       "      <td>80.099998</td>\n",
       "      <td>80.699997</td>\n",
       "      <td>79.169998</td>\n",
       "      <td>79.260002</td>\n",
       "      <td>79.260002</td>\n",
       "      <td>4651418</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8036 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date       Open       High        Low      Close  Adj Close  \\\n",
       "0     1992-06-26   0.328125   0.347656   0.320313   0.335938   0.260703   \n",
       "1     1992-06-29   0.339844   0.367188   0.332031   0.359375   0.278891   \n",
       "2     1992-06-30   0.367188   0.371094   0.343750   0.347656   0.269797   \n",
       "3     1992-07-01   0.351563   0.359375   0.339844   0.355469   0.275860   \n",
       "4     1992-07-02   0.359375   0.359375   0.347656   0.355469   0.275860   \n",
       "...          ...        ...        ...        ...        ...        ...   \n",
       "8031  2024-05-17  75.269997  78.000000  74.919998  77.849998  77.849998   \n",
       "8032  2024-05-20  77.680000  78.320000  76.709999  77.540001  77.540001   \n",
       "8033  2024-05-21  77.559998  78.220001  77.500000  77.720001  77.720001   \n",
       "8034  2024-05-22  77.699997  81.019997  77.440002  80.720001  80.720001   \n",
       "8035  2024-05-23  80.099998  80.699997  79.169998  79.260002  79.260002   \n",
       "\n",
       "         Volume  \n",
       "0     224358400  \n",
       "1      58732800  \n",
       "2      34777600  \n",
       "3      18316800  \n",
       "4      13996800  \n",
       "...         ...  \n",
       "8031   14436500  \n",
       "8032   11183800  \n",
       "8033    8916600  \n",
       "8034   22063400  \n",
       "8035    4651418  \n",
       "\n",
       "[8036 rows x 7 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted_df = df.sort_values(by='Date', ascending = True)\n",
    "sorted_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "7. Удаление строк/столбцов"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dropped_columns = df.drop(columns=['Adj Close', 'Volume'])  # Удаление столбцов 'Adj Close' и 'Volume'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>0</th>\n",
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       "      <td>0.320313</td>\n",
       "      <td>0.335938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1992-06-29</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.332031</td>\n",
       "      <td>0.359375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992-06-30</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.371094</td>\n",
       "      <td>0.343750</td>\n",
       "      <td>0.347656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1992-07-01</td>\n",
       "      <td>0.351563</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.355469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1992-07-02</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.355469</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8031</th>\n",
       "      <td>2024-05-17</td>\n",
       "      <td>75.269997</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>74.919998</td>\n",
       "      <td>77.849998</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8032</th>\n",
       "      <td>2024-05-20</td>\n",
       "      <td>77.680000</td>\n",
       "      <td>78.320000</td>\n",
       "      <td>76.709999</td>\n",
       "      <td>77.540001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8033</th>\n",
       "      <td>2024-05-21</td>\n",
       "      <td>77.559998</td>\n",
       "      <td>78.220001</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>77.720001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8034</th>\n",
       "      <td>2024-05-22</td>\n",
       "      <td>77.699997</td>\n",
       "      <td>81.019997</td>\n",
       "      <td>77.440002</td>\n",
       "      <td>80.720001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8035</th>\n",
       "      <td>2024-05-23</td>\n",
       "      <td>80.099998</td>\n",
       "      <td>80.699997</td>\n",
       "      <td>79.169998</td>\n",
       "      <td>79.260002</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8036 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date       Open       High        Low      Close\n",
       "0     1992-06-26   0.328125   0.347656   0.320313   0.335938\n",
       "1     1992-06-29   0.339844   0.367188   0.332031   0.359375\n",
       "2     1992-06-30   0.367188   0.371094   0.343750   0.347656\n",
       "3     1992-07-01   0.351563   0.359375   0.339844   0.355469\n",
       "4     1992-07-02   0.359375   0.359375   0.347656   0.355469\n",
       "...          ...        ...        ...        ...        ...\n",
       "8031  2024-05-17  75.269997  78.000000  74.919998  77.849998\n",
       "8032  2024-05-20  77.680000  78.320000  76.709999  77.540001\n",
       "8033  2024-05-21  77.559998  78.220001  77.500000  77.720001\n",
       "8034  2024-05-22  77.699997  81.019997  77.440002  80.720001\n",
       "8035  2024-05-23  80.099998  80.699997  79.169998  79.260002\n",
       "\n",
       "[8036 rows x 5 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dropped_columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Date</th>\n",
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       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1992-06-26</td>\n",
       "      <td>0.328125</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.320313</td>\n",
       "      <td>0.335938</td>\n",
       "      <td>0.260703</td>\n",
       "      <td>224358400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1992-06-29</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.332031</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.278891</td>\n",
       "      <td>58732800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992-06-30</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.371094</td>\n",
       "      <td>0.343750</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.269797</td>\n",
       "      <td>34777600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1992-07-06</td>\n",
       "      <td>0.351563</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>5753600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1992-07-07</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>10662400</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>8031</th>\n",
       "      <td>2024-05-17</td>\n",
       "      <td>75.269997</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>74.919998</td>\n",
       "      <td>77.849998</td>\n",
       "      <td>77.849998</td>\n",
       "      <td>14436500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8032</th>\n",
       "      <td>2024-05-20</td>\n",
       "      <td>77.680000</td>\n",
       "      <td>78.320000</td>\n",
       "      <td>76.709999</td>\n",
       "      <td>77.540001</td>\n",
       "      <td>77.540001</td>\n",
       "      <td>11183800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8033</th>\n",
       "      <td>2024-05-21</td>\n",
       "      <td>77.559998</td>\n",
       "      <td>78.220001</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>77.720001</td>\n",
       "      <td>77.720001</td>\n",
       "      <td>8916600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8034</th>\n",
       "      <td>2024-05-22</td>\n",
       "      <td>77.699997</td>\n",
       "      <td>81.019997</td>\n",
       "      <td>77.440002</td>\n",
       "      <td>80.720001</td>\n",
       "      <td>80.720001</td>\n",
       "      <td>22063400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8035</th>\n",
       "      <td>2024-05-23</td>\n",
       "      <td>80.099998</td>\n",
       "      <td>80.699997</td>\n",
       "      <td>79.169998</td>\n",
       "      <td>79.260002</td>\n",
       "      <td>79.260002</td>\n",
       "      <td>4651418</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8034 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date       Open       High        Low      Close  Adj Close  \\\n",
       "0     1992-06-26   0.328125   0.347656   0.320313   0.335938   0.260703   \n",
       "1     1992-06-29   0.339844   0.367188   0.332031   0.359375   0.278891   \n",
       "2     1992-06-30   0.367188   0.371094   0.343750   0.347656   0.269797   \n",
       "5     1992-07-06   0.351563   0.355469   0.347656   0.355469   0.275860   \n",
       "6     1992-07-07   0.355469   0.355469   0.347656   0.355469   0.275860   \n",
       "...          ...        ...        ...        ...        ...        ...   \n",
       "8031  2024-05-17  75.269997  78.000000  74.919998  77.849998  77.849998   \n",
       "8032  2024-05-20  77.680000  78.320000  76.709999  77.540001  77.540001   \n",
       "8033  2024-05-21  77.559998  78.220001  77.500000  77.720001  77.720001   \n",
       "8034  2024-05-22  77.699997  81.019997  77.440002  80.720001  80.720001   \n",
       "8035  2024-05-23  80.099998  80.699997  79.169998  79.260002  79.260002   \n",
       "\n",
       "         Volume  \n",
       "0     224358400  \n",
       "1      58732800  \n",
       "2      34777600  \n",
       "5       5753600  \n",
       "6      10662400  \n",
       "...         ...  \n",
       "8031   14436500  \n",
       "8032   11183800  \n",
       "8033    8916600  \n",
       "8034   22063400  \n",
       "8035    4651418  \n",
       "\n",
       "[8034 rows x 7 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_dropped_rows = df.drop([3, 4])  # Удаление строк с индексами 3 и 4\n",
    "df_dropped_rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "8. Создание новых столбцов на основе данных из существующих столбцов датафрейма"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Difference'] = df['High'] - df['Low']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
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       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1992-06-26</td>\n",
       "      <td>0.328125</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.320313</td>\n",
       "      <td>0.335938</td>\n",
       "      <td>0.260703</td>\n",
       "      <td>224358400</td>\n",
       "      <td>0.027343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1992-06-29</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.332031</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.278891</td>\n",
       "      <td>58732800</td>\n",
       "      <td>0.035157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992-06-30</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.371094</td>\n",
       "      <td>0.343750</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.269797</td>\n",
       "      <td>34777600</td>\n",
       "      <td>0.027344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1992-07-01</td>\n",
       "      <td>0.351563</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>18316800</td>\n",
       "      <td>0.019531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1992-07-02</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>13996800</td>\n",
       "      <td>0.011719</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>8031</th>\n",
       "      <td>2024-05-17</td>\n",
       "      <td>75.269997</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>74.919998</td>\n",
       "      <td>77.849998</td>\n",
       "      <td>77.849998</td>\n",
       "      <td>14436500</td>\n",
       "      <td>3.080002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8032</th>\n",
       "      <td>2024-05-20</td>\n",
       "      <td>77.680000</td>\n",
       "      <td>78.320000</td>\n",
       "      <td>76.709999</td>\n",
       "      <td>77.540001</td>\n",
       "      <td>77.540001</td>\n",
       "      <td>11183800</td>\n",
       "      <td>1.610001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8033</th>\n",
       "      <td>2024-05-21</td>\n",
       "      <td>77.559998</td>\n",
       "      <td>78.220001</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>77.720001</td>\n",
       "      <td>77.720001</td>\n",
       "      <td>8916600</td>\n",
       "      <td>0.720001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8034</th>\n",
       "      <td>2024-05-22</td>\n",
       "      <td>77.699997</td>\n",
       "      <td>81.019997</td>\n",
       "      <td>77.440002</td>\n",
       "      <td>80.720001</td>\n",
       "      <td>80.720001</td>\n",
       "      <td>22063400</td>\n",
       "      <td>3.579995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8035</th>\n",
       "      <td>2024-05-23</td>\n",
       "      <td>80.099998</td>\n",
       "      <td>80.699997</td>\n",
       "      <td>79.169998</td>\n",
       "      <td>79.260002</td>\n",
       "      <td>79.260002</td>\n",
       "      <td>4651418</td>\n",
       "      <td>1.529999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8036 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date       Open       High        Low      Close  Adj Close  \\\n",
       "0     1992-06-26   0.328125   0.347656   0.320313   0.335938   0.260703   \n",
       "1     1992-06-29   0.339844   0.367188   0.332031   0.359375   0.278891   \n",
       "2     1992-06-30   0.367188   0.371094   0.343750   0.347656   0.269797   \n",
       "3     1992-07-01   0.351563   0.359375   0.339844   0.355469   0.275860   \n",
       "4     1992-07-02   0.359375   0.359375   0.347656   0.355469   0.275860   \n",
       "...          ...        ...        ...        ...        ...        ...   \n",
       "8031  2024-05-17  75.269997  78.000000  74.919998  77.849998  77.849998   \n",
       "8032  2024-05-20  77.680000  78.320000  76.709999  77.540001  77.540001   \n",
       "8033  2024-05-21  77.559998  78.220001  77.500000  77.720001  77.720001   \n",
       "8034  2024-05-22  77.699997  81.019997  77.440002  80.720001  80.720001   \n",
       "8035  2024-05-23  80.099998  80.699997  79.169998  79.260002  79.260002   \n",
       "\n",
       "         Volume  Difference  \n",
       "0     224358400    0.027343  \n",
       "1      58732800    0.035157  \n",
       "2      34777600    0.027344  \n",
       "3      18316800    0.019531  \n",
       "4      13996800    0.011719  \n",
       "...         ...         ...  \n",
       "8031   14436500    3.080002  \n",
       "8032   11183800    1.610001  \n",
       "8033    8916600    0.720001  \n",
       "8034   22063400    3.579995  \n",
       "8035    4651418    1.529999  \n",
       "\n",
       "[8036 rows x 8 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "9. Удаление строк с пустыми значениями"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Date          0\n",
      "Open          0\n",
      "High          0\n",
      "Low           0\n",
      "Close         0\n",
      "Adj Close     0\n",
      "Volume        0\n",
      "Difference    0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(df.isna().sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Difference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1992-06-26</td>\n",
       "      <td>0.328125</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.320313</td>\n",
       "      <td>0.335938</td>\n",
       "      <td>0.260703</td>\n",
       "      <td>224358400</td>\n",
       "      <td>0.027343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1992-06-29</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.332031</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.278891</td>\n",
       "      <td>58732800</td>\n",
       "      <td>0.035157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1992-06-30</td>\n",
       "      <td>0.367188</td>\n",
       "      <td>0.371094</td>\n",
       "      <td>0.343750</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.269797</td>\n",
       "      <td>34777600</td>\n",
       "      <td>0.027344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1992-07-01</td>\n",
       "      <td>0.351563</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.339844</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>18316800</td>\n",
       "      <td>0.019531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1992-07-02</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.359375</td>\n",
       "      <td>0.347656</td>\n",
       "      <td>0.355469</td>\n",
       "      <td>0.275860</td>\n",
       "      <td>13996800</td>\n",
       "      <td>0.011719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8031</th>\n",
       "      <td>2024-05-17</td>\n",
       "      <td>75.269997</td>\n",
       "      <td>78.000000</td>\n",
       "      <td>74.919998</td>\n",
       "      <td>77.849998</td>\n",
       "      <td>77.849998</td>\n",
       "      <td>14436500</td>\n",
       "      <td>3.080002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8032</th>\n",
       "      <td>2024-05-20</td>\n",
       "      <td>77.680000</td>\n",
       "      <td>78.320000</td>\n",
       "      <td>76.709999</td>\n",
       "      <td>77.540001</td>\n",
       "      <td>77.540001</td>\n",
       "      <td>11183800</td>\n",
       "      <td>1.610001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8033</th>\n",
       "      <td>2024-05-21</td>\n",
       "      <td>77.559998</td>\n",
       "      <td>78.220001</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>77.720001</td>\n",
       "      <td>77.720001</td>\n",
       "      <td>8916600</td>\n",
       "      <td>0.720001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8034</th>\n",
       "      <td>2024-05-22</td>\n",
       "      <td>77.699997</td>\n",
       "      <td>81.019997</td>\n",
       "      <td>77.440002</td>\n",
       "      <td>80.720001</td>\n",
       "      <td>80.720001</td>\n",
       "      <td>22063400</td>\n",
       "      <td>3.579995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8035</th>\n",
       "      <td>2024-05-23</td>\n",
       "      <td>80.099998</td>\n",
       "      <td>80.699997</td>\n",
       "      <td>79.169998</td>\n",
       "      <td>79.260002</td>\n",
       "      <td>79.260002</td>\n",
       "      <td>4651418</td>\n",
       "      <td>1.529999</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8036 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            Date       Open       High        Low      Close  Adj Close  \\\n",
       "0     1992-06-26   0.328125   0.347656   0.320313   0.335938   0.260703   \n",
       "1     1992-06-29   0.339844   0.367188   0.332031   0.359375   0.278891   \n",
       "2     1992-06-30   0.367188   0.371094   0.343750   0.347656   0.269797   \n",
       "3     1992-07-01   0.351563   0.359375   0.339844   0.355469   0.275860   \n",
       "4     1992-07-02   0.359375   0.359375   0.347656   0.355469   0.275860   \n",
       "...          ...        ...        ...        ...        ...        ...   \n",
       "8031  2024-05-17  75.269997  78.000000  74.919998  77.849998  77.849998   \n",
       "8032  2024-05-20  77.680000  78.320000  76.709999  77.540001  77.540001   \n",
       "8033  2024-05-21  77.559998  78.220001  77.500000  77.720001  77.720001   \n",
       "8034  2024-05-22  77.699997  81.019997  77.440002  80.720001  80.720001   \n",
       "8035  2024-05-23  80.099998  80.699997  79.169998  79.260002  79.260002   \n",
       "\n",
       "         Volume  Difference  \n",
       "0     224358400    0.027343  \n",
       "1      58732800    0.035157  \n",
       "2      34777600    0.027344  \n",
       "3      18316800    0.019531  \n",
       "4      13996800    0.011719  \n",
       "...         ...         ...  \n",
       "8031   14436500    3.080002  \n",
       "8032   11183800    1.610001  \n",
       "8033    8916600    0.720001  \n",
       "8034   22063400    3.579995  \n",
       "8035    4651418    1.529999  \n",
       "\n",
       "[8036 rows x 8 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dropna() "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "10. Заполнение пустых значений на основе существующих данных"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.fillna(df.mean(), inplace=True)\n",
    "df.fillna(df.median(), inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Возможности визуализации**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Линейная диаграмма\n",
    "plt.figure(figsize=(10, 5))\n",
    "df['High'].plot(title='Линейная диаграмма (столбец High)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x500 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Гистограмма\n",
    "plt.figure(figsize=(8, 5))\n",
    "df.plot.hist(column=[\"Open\"], bins=80)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 4000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Столбчатая диаграмма\n",
    "plt.figure(figsize=(40, 10))\n",
    "df['Open'].value_counts().plot(kind='bar', title='Столбчатая диаграмма (Open)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x2000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Ящик с усами\n",
    "plt.figure(figsize=(8, 20))\n",
    "df[\"Volume\"].plot(kind = \"box\", title='Ящик с усами')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x500 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Диаграмма с областями\n",
    "plt.figure(figsize=(8, 5))\n",
    "df[['Open', 'High']].plot(kind='area', alpha=0.2, title='Area Plot (Open, High)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='Open', ylabel='Volume'>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Диаграмма рассеяния\n",
    "df.plot.scatter(x=\"Open\", y=\"Volume\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Круговая диаграмма\n",
    "\n",
    "df['ForPieChart'] = df['Volume'] % 500 #Дополнительный столбец для демонстрации диаграммы\n",
    "\n",
    "plt.figure(figsize=(8, 5))\n",
    "df['ForPieChart'].value_counts().plot(kind='pie', autopct='%1.1f%%', title='Pie Chart (Volume)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       400\n",
       "1       300\n",
       "2       100\n",
       "3       300\n",
       "4       300\n",
       "       ... \n",
       "8031      0\n",
       "8032    300\n",
       "8033    100\n",
       "8034    400\n",
       "8035    418\n",
       "Name: ForPieChart, Length: 8036, dtype: int64"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['ForPieChart']"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": ".venv",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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