{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Работа с таблицами. Введение в библиотеку pandas" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Датафреймы (таблицы) в pandas" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Таблицы можно получить из стандартных структур данных в Python. Например, мы можем создать таблицу в таком виде:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "table = [[1, 2, 3], [4, 5, 6]]" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[[1, 2, 3], [4, 5, 6]]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "table " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Превратим `table` в датафрейм из библиотеки `pandas`. Эта библиотека используется для удобной и более эффективной работы с таблицами. " ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd # импортируем саму библиотеку" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " 0 1 2\n", "0 1 2 3\n", "1 4 5 6" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.DataFrame(table) # Превратим список списков в объект `DataFrame`" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "df = pd.DataFrame(table) # Сохраним результат в переменную df" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
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" ], "text/plain": [ " 0 1 2\n", "0 1 2 3\n", "1 4 5 6" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "По умолчанию Python создает датафрейм по строкам, то есть в качестве первой строки берет первый список, затем ‒ второй, и так далее. При желании это можно исправить ‒ транспонировать таблицу, то есть поменять местами строки и столбцы. Для этого существует метод `.transpose()`:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
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" ], "text/plain": [ " 0 1\n", "0 1 4\n", "1 2 5\n", "2 3 6" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.transpose()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
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" ], "text/plain": [ " 0 1 2\n", "0 1 2 3\n", "1 4 5 6" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 1\n", "1 4\n", "Name: 0, dtype: int64" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[0] # столбец с индексом 0 - Series" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "pandas.core.series.Series" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(df[0])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Столбец датафрейма `df` имеет особый тип *Series*. Внешне *Series* отличается от обычного списка значений, потому что, во-первых, при вызове столбца на экран выводятся не только сами элементы, но их номер (номер строки), а во-вторых, на экран выводится строка с названием столбца (`Name: 0`) и его тип (`dtype: int64`, целочисленный). Первая особенность роднит *Series* со словарями: он представляет собой пары *ключ-значение*, то есть *номер-значение*. Вторая особенность роднит *Series* с массивами `numpy`: элементы обычно должны быть одного типа." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Загрузка таблицы из файла и описание переменных\n", "\n", "Загрузим реальную базу данных (таблицу) из файла. Библиотека `pandas` достаточно гибкая, она позволяет загружать данные из файлов разных форматов. Пока остановимся на самом простом ‒ файле *csv*, что расшифровывается как *comma separated values*. Столбцы в таком файле по умолчанию отделяются друг от друга запятой. Например, такая таблица" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
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" ], "text/plain": [ " 0 1 2\n", "0 1 4 9\n", "1 4 8 6" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.DataFrame([[1, 4, 9], [4, 8, 6]])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "сохраненная в формате *csv* без названий строк и столбцов будет выглядеть так:" ] }, { "cell_type": "raw", "metadata": {}, "source": [ "1, 4, 9\n", "4, 8, 6" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Но разделитель столбцов в таблице может быть и другим, например, точкой с запятой:" ] }, { "cell_type": "raw", "metadata": {}, "source": [ "1; 4; 9\n", "4; 8; 6" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "В таких случаях потребуется дополнительно выставлять параметр `sep = \";\"`, чтобы Python понимал, как правильно отделять один столбец от другого. Посмотрим, как загрузить файл с компьютера. По умолчанию Python видит только те файлы, которые хранятся в текущей рабочей папке ‒ папке, откуда запускается Python или, в нашем случае, Jupyter Notebook. Чтобы узнать, какая папка является рабочей, необходимо загрузить модуль `os` и вызвать функцию `getcwd()`:" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'c:\\\\programs\\\\Лекция 7. Pandas'" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "os.getcwd() # от get current working directory" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Эта функция возвращает путь к рабочей папке. Обратите внимание: в Mac OS и Linux слэши между названиями папок прямые и одинарные, в Windows ‒ обратные и двойные. Плюс, в Windows всегда в начале прописывается диск (`C:` или иные)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Иногда удобно положить файл, с которым мы будем работать, в рабочую папку. Можно явно переместить файл из папки в папку, но при работе в Jupyter можно сделать проще ‒ воспользоваться кнопкой *Upload* на странице *Home*. Кто пользуется командной строкой, есть альтернатива: запустить сам Jupyter Notebook из той папки, где хранятся файлы для работы.\n", "\n", "А так можно изменить рабочую папку, прописав новый путь:" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "ename": "FileNotFoundError", "evalue": "[WinError 3] Системе не удается найти указанный путь: 'C:\\\\Users\\\\proektor\\\\Лекция 6. Pandas'", "output_type": "error", "traceback": [ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[1;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", "\u001b[1;32m\u001b[0m in \u001b[0;36m\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mchdir\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"C:\\\\Users\\\\proektor\\\\Лекция 6. Pandas\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m", "\u001b[1;31mFileNotFoundError\u001b[0m: [WinError 3] Системе не удается найти указанный путь: 'C:\\\\Users\\\\proektor\\\\Лекция 6. Pandas'" ] } ], "source": [ "os.chdir(\"C:\\\\Users\\\\proektor\\\\Лекция 6. Pandas\")" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'C:\\\\Users\\\\Анастасия\\\\Python\\\\Лекция 6. Pandas'" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "os.getcwd()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Теперь перейдем к загрузке самого файла. Воспользуемся функцией `read_csv()`. " ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "df = pd.read_csv(\"scores2.csv\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "В файле `scores2.csv` сохранены оценки студентов-политологов по ряду курсов, имена студентов зашифрованы ‒ вместо них задействованы номера студенческих билетов. Посмотрим на базу данных:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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idcatpsmstatsoceconengpolthmstat2phistlawphilpolsocptheopregcomppgamewpolmale
0М141БПЛТЛ024798898108.07997.088.06101
1М141БПЛТЛ03181010101010109.0910109.088.09101
2М141БПЛТЛ0759991091098.091099.088.0791
3М141БПЛТЛ017998899106.09998.088.0890
4М141БПЛТЛ06910101010101098.081097.065.08101
5М141БПЛТЛ0721098109898.081097.088.0990
6М141БПЛТЛ020877691088.07797.086.0891
7М141БПЛТЛ0267108710798.08888.087.0780
8М141БПЛТЛ07379889898.08997.076.01091
9М141БПЛТЛ078669561076.08696.088.0670
10М141БПЛТЛ06078779885.07585.078.0791
11М141БПЛТЛ04069869786.09585.085.07100
12М141БПЛТЛ06599848879.085109.088.0691
13М141БПЛТЛ05367759878.08687.086.0990
14М141БПЛТЛ01569769794.07776.077.01070
15М141БПЛТЛ02189889887.07766.086.0780
16М141БПЛТЛ01877979786.06787.077.0780
17М141БПЛТЛ03998988868.07696.078.0491
18М141БПЛТЛ036810788694.08876.076.0781
19М141БПЛТЛ04967668684.08596.085.0680
20061140438810588810.0779NaN78.0781
21М141БПЛТЛ04886869644.06484.067.0780
22М141БПЛТЛ03469769686.07665.085.0890
23М141БПЛТЛ04558878676.07786.086.0580
24М141БПЛТЛ03359879797.07887.085.0780
25М141БПЛТЛ08355658765.07575.075.0470
26М141БПЛТЛ0081088981098.091098.055.01041
27М141БПЛТЛ001677410776.08684.066.0480
28М141БПЛТЛ03879649676.07484.054.0971
29М141БПЛТЛ05277778666.08675.086.0571
30М141БПЛТЛ01176869665.06676.086.0580
31М141БПЛТЛ00477668665.05565.075.0880
32М141БПЛТЛ01066769776.07586.086.0581
33М141БПЛТЛ07169779684.06776.05NaN570
34М141БПЛТЛ03556768554.06675.087.0670
35М141БПЛТЛ03076667664.08555.085.0791
36М141БПЛТЛ07055648655.06456.085.0670
37М141БПЛТЛ05189868767.06665.044.0551
38М141БПЛТЛ04657747585.07575.084.0570
39М141БПЛТЛ04758647595.06464.074.0880
40М141БПЛТЛ06355648444.05454.075.0880
41М141БПЛТЛ02968879567.06585.074.0570
42М141БПЛТЛ06478676684.06444.065.0470
43М141БПЛТЛ07677868666.08685.074.0460
44М141БПЛТЛ06277769665.06564.055.0460
45М141БПЛТЛ07456747656.06686.066.0881
4613023203867658484.08455.064.0560
47М141БПЛТЛ02379689694.07776.044.0751
48М141БПЛТЛ05478648644.06484.044.0481
49М141БПЛТЛ012667410654.07574.054.0481
50М141БПЛТЛ00665658555.06475.075.0680
51М141БПЛТЛ05565647748.05464.065.0451
52М141БПЛТЛ00767767674.05565.045.0471
53М141БПЛТЛ05086668454.05564.054.0660
54М141БПЛТЛ066710779584.06564.064.0560
55М141БПЛТЛ04355658565.06454.05NaN460
56М141БПЛТЛ0846784855NaN8444.044.0671
57М141БПЛТЛ00557557474.05455.044.0481
58М141БПЛТЛ04445746445.04444.06NaN551
591305103854449555.0544NaN74.0441
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Если строк или столбцов было бы слишком много, Python вывел бы несколько первых и последних, а в середине бы поставил многоточие." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Кроме того, можно вывести первые или последние строки таблицы, используя методы `.head()` и `.tail()`." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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idcatpsmstatsoceconengpolthmstat2phistlawphilpolsocptheopregcomppgamewpolmale
0М141БПЛТЛ024798898108.07997.088.06101
1М141БПЛТЛ03181010101010109.0910109.088.09101
2М141БПЛТЛ0759991091098.091099.088.0791
3М141БПЛТЛ017998899106.09998.088.0890
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" ], "text/plain": [ " id catps mstat soc econ eng polth mstat2 phist law \\\n", "0 М141БПЛТЛ024 7 9 8 8 9 8 10 8.0 7 \n", "1 М141БПЛТЛ031 8 10 10 10 10 10 10 9.0 9 \n", "2 М141БПЛТЛ075 9 9 9 10 9 10 9 8.0 9 \n", "3 М141БПЛТЛ017 9 9 8 8 9 9 10 6.0 9 \n", "4 М141БПЛТЛ069 10 10 10 10 10 10 9 8.0 8 \n", "\n", " phil polsoc ptheo preg compp game wpol male \n", "0 9 9 7.0 8 8.0 6 10 1 \n", "1 10 10 9.0 8 8.0 9 10 1 \n", "2 10 9 9.0 8 8.0 7 9 1 \n", "3 9 9 8.0 8 8.0 8 9 0 \n", "4 10 9 7.0 6 5.0 8 10 1 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " id catps mstat soc econ eng polth mstat2 phist law \\\n", "55 М141БПЛТЛ043 5 5 6 5 8 5 6 5.0 6 \n", "56 М141БПЛТЛ084 6 7 8 4 8 5 5 NaN 8 \n", "57 М141БПЛТЛ005 5 7 5 5 7 4 7 4.0 5 \n", "58 М141БПЛТЛ044 4 5 7 4 6 4 4 5.0 4 \n", "59 13051038 5 4 4 4 9 5 5 5.0 5 \n", "\n", " phil polsoc ptheo preg compp game wpol male \n", "55 4 5 4.0 5 NaN 4 6 0 \n", "56 4 4 4.0 4 4.0 6 7 1 \n", "57 4 5 5.0 4 4.0 4 8 1 \n", "58 4 4 4.0 6 NaN 5 5 1 \n", "59 4 4 NaN 7 4.0 4 4 1 " ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.tail()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Обратите внимание, что это просто первые и последние строки таблицы «как есть». Никакой сортировки не происходит! \n", "\n", "По умолчанию эти методы выводят пять строк, но при желании это легко изменить. Достаточно в скобках указать желаемое число строк." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " id catps mstat soc econ eng polth mstat2 phist law \\\n", "0 М141БПЛТЛ024 7 9 8 8 9 8 10 8.0 7 \n", "1 М141БПЛТЛ031 8 10 10 10 10 10 10 9.0 9 \n", "2 М141БПЛТЛ075 9 9 9 10 9 10 9 8.0 9 \n", "3 М141БПЛТЛ017 9 9 8 8 9 9 10 6.0 9 \n", "4 М141БПЛТЛ069 10 10 10 10 10 10 9 8.0 8 \n", "5 М141БПЛТЛ072 10 9 8 10 9 8 9 8.0 8 \n", "6 М141БПЛТЛ020 8 7 7 6 9 10 8 8.0 7 \n", "7 М141БПЛТЛ026 7 10 8 7 10 7 9 8.0 8 \n", "8 М141БПЛТЛ073 7 9 8 8 9 8 9 8.0 8 \n", "9 М141БПЛТЛ078 6 6 9 5 6 10 7 6.0 8 \n", "\n", " phil polsoc ptheo preg compp game wpol male \n", "0 9 9 7.0 8 8.0 6 10 1 \n", "1 10 10 9.0 8 8.0 9 10 1 \n", "2 10 9 9.0 8 8.0 7 9 1 \n", "3 9 9 8.0 8 8.0 8 9 0 \n", "4 10 9 7.0 6 5.0 8 10 1 \n", "5 10 9 7.0 8 8.0 9 9 0 \n", "6 7 9 7.0 8 6.0 8 9 1 \n", "7 8 8 8.0 8 7.0 7 8 0 \n", "8 9 9 7.0 7 6.0 10 9 1 \n", "9 6 9 6.0 8 8.0 6 7 0 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head(10) # первые 10 строк" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Описание показателей (переменных):**\n", " \n", "* id ‒ номер студенческого билета\n", "* catps\t‒ оценка по курсу *Категории политической науки*\n", "* mstat\t‒ оценка по курсу *Математика и статистика*\n", "* soc ‒\tоценка по курсу *Социология*\n", "* econ\t‒ оценка по курсу *Экономика*\n", "* eng\t‒ оценка по курсу *Английский язык*\n", "* polth\t‒ оценка по курсу *История политических учений*\n", "* mstat2\t‒ оценка по курсу *Математика и статистика (часть 2)*\n", "* phist\t‒ оценка по курсу *Политическая история*\n", "* law\t‒ оценка по курсу *Право*\n", "* phil\t‒ оценка по курсу *Философия*\n", "* polsoc\t‒ оценка по курсу *Политическая социология*\n", "* ptheo\t‒ оценка по курсу *Политическая теория*\n", "* preg\t‒ оценка по курсу *Политическая регионалистика*\n", "* compp\t‒ оценка по курсу *Сравнительная политика*\n", "* game\t‒ оценка по курсу *Теория игр*\n", "* wpol\t‒ оценка по курсу *Мировая политика и международные отношения*\n", "* male ‒ пол (1 ‒ мужской, 0 ‒ женский)\n", "\n", "Давайте кое-что подкорректруем. Сделаем так, чтобы строки в таблице назывались в соответствии с `id`. Другими словами, сделаем так, чтобы первый столбец считался индексом строки:" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "df = pd.read_csv(\"scores2.csv\", index_col = 0)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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catpsmstatsoceconengpolthmstat2phistlawphilpolsocptheopregcomppgamewpolmale
id
М141БПЛТЛ024798898108.07997.088.06101
М141БПЛТЛ03181010101010109.0910109.088.09101
М141БПЛТЛ0759991091098.091099.088.0791
М141БПЛТЛ017998899106.09998.088.0890
М141БПЛТЛ06910101010101098.081097.065.08101
М141БПЛТЛ0721098109898.081097.088.0990
М141БПЛТЛ020877691088.07797.086.0891
М141БПЛТЛ0267108710798.08888.087.0780
М141БПЛТЛ07379889898.08997.076.01091
М141БПЛТЛ078669561076.08696.088.0670
М141БПЛТЛ06078779885.07585.078.0791
М141БПЛТЛ04069869786.09585.085.07100
М141БПЛТЛ06599848879.085109.088.0691
М141БПЛТЛ05367759878.08687.086.0990
М141БПЛТЛ01569769794.07776.077.01070
М141БПЛТЛ02189889887.07766.086.0780
М141БПЛТЛ01877979786.06787.077.0780
М141БПЛТЛ03998988868.07696.078.0491
М141БПЛТЛ036810788694.08876.076.0781
М141БПЛТЛ04967668684.08596.085.0680
061140438810588810.0779NaN78.0781
М141БПЛТЛ04886869644.06484.067.0780
М141БПЛТЛ03469769686.07665.085.0890
М141БПЛТЛ04558878676.07786.086.0580
М141БПЛТЛ03359879797.07887.085.0780
М141БПЛТЛ08355658765.07575.075.0470
М141БПЛТЛ0081088981098.091098.055.01041
М141БПЛТЛ001677410776.08684.066.0480
М141БПЛТЛ03879649676.07484.054.0971
М141БПЛТЛ05277778666.08675.086.0571
М141БПЛТЛ01176869665.06676.086.0580
М141БПЛТЛ00477668665.05565.075.0880
М141БПЛТЛ01066769776.07586.086.0581
М141БПЛТЛ07169779684.06776.05NaN570
М141БПЛТЛ03556768554.06675.087.0670
М141БПЛТЛ03076667664.08555.085.0791
М141БПЛТЛ07055648655.06456.085.0670
М141БПЛТЛ05189868767.06665.044.0551
М141БПЛТЛ04657747585.07575.084.0570
М141БПЛТЛ04758647595.06464.074.0880
М141БПЛТЛ06355648444.05454.075.0880
М141БПЛТЛ02968879567.06585.074.0570
М141БПЛТЛ06478676684.06444.065.0470
М141БПЛТЛ07677868666.08685.074.0460
М141БПЛТЛ06277769665.06564.055.0460
М141БПЛТЛ07456747656.06686.066.0881
13023203867658484.08455.064.0560
М141БПЛТЛ02379689694.07776.044.0751
М141БПЛТЛ05478648644.06484.044.0481
М141БПЛТЛ012667410654.07574.054.0481
М141БПЛТЛ00665658555.06475.075.0680
М141БПЛТЛ05565647748.05464.065.0451
М141БПЛТЛ00767767674.05565.045.0471
М141БПЛТЛ05086668454.05564.054.0660
М141БПЛТЛ066710779584.06564.064.0560
М141БПЛТЛ04355658565.06454.05NaN460
М141БПЛТЛ0846784855NaN8444.044.0671
М141БПЛТЛ00557557474.05455.044.0481
М141БПЛТЛ04445746445.04444.06NaN551
1305103854449555.0544NaN74.0441
\n", "
" ], "text/plain": [ " catps mstat soc econ eng polth mstat2 phist law phil \\\n", "id \n", "М141БПЛТЛ024 7 9 8 8 9 8 10 8.0 7 9 \n", "М141БПЛТЛ031 8 10 10 10 10 10 10 9.0 9 10 \n", "М141БПЛТЛ075 9 9 9 10 9 10 9 8.0 9 10 \n", "М141БПЛТЛ017 9 9 8 8 9 9 10 6.0 9 9 \n", "М141БПЛТЛ069 10 10 10 10 10 10 9 8.0 8 10 \n", "М141БПЛТЛ072 10 9 8 10 9 8 9 8.0 8 10 \n", "М141БПЛТЛ020 8 7 7 6 9 10 8 8.0 7 7 \n", "М141БПЛТЛ026 7 10 8 7 10 7 9 8.0 8 8 \n", "М141БПЛТЛ073 7 9 8 8 9 8 9 8.0 8 9 \n", "М141БПЛТЛ078 6 6 9 5 6 10 7 6.0 8 6 \n", "М141БПЛТЛ060 7 8 7 7 9 8 8 5.0 7 5 \n", "М141БПЛТЛ040 6 9 8 6 9 7 8 6.0 9 5 \n", "М141БПЛТЛ065 9 9 8 4 8 8 7 9.0 8 5 \n", "М141БПЛТЛ053 6 7 7 5 9 8 7 8.0 8 6 \n", "М141БПЛТЛ015 6 9 7 6 9 7 9 4.0 7 7 \n", "М141БПЛТЛ021 8 9 8 8 9 8 8 7.0 7 7 \n", "М141БПЛТЛ018 7 7 9 7 9 7 8 6.0 6 7 \n", "М141БПЛТЛ039 9 8 9 8 8 8 6 8.0 7 6 \n", "М141БПЛТЛ036 8 10 7 8 8 6 9 4.0 8 8 \n", "М141БПЛТЛ049 6 7 6 6 8 6 8 4.0 8 5 \n", "06114043 8 8 10 5 8 8 8 10.0 7 7 \n", "М141БПЛТЛ048 8 6 8 6 9 6 4 4.0 6 4 \n", "М141БПЛТЛ034 6 9 7 6 9 6 8 6.0 7 6 \n", "М141БПЛТЛ045 5 8 8 7 8 6 7 6.0 7 7 \n", "М141БПЛТЛ033 5 9 8 7 9 7 9 7.0 7 8 \n", "М141БПЛТЛ083 5 5 6 5 8 7 6 5.0 7 5 \n", "М141БПЛТЛ008 10 8 8 9 8 10 9 8.0 9 10 \n", "М141БПЛТЛ001 6 7 7 4 10 7 7 6.0 8 6 \n", "М141БПЛТЛ038 7 9 6 4 9 6 7 6.0 7 4 \n", "М141БПЛТЛ052 7 7 7 7 8 6 6 6.0 8 6 \n", "М141БПЛТЛ011 7 6 8 6 9 6 6 5.0 6 6 \n", "М141БПЛТЛ004 7 7 6 6 8 6 6 5.0 5 5 \n", "М141БПЛТЛ010 6 6 7 6 9 7 7 6.0 7 5 \n", "М141БПЛТЛ071 6 9 7 7 9 6 8 4.0 6 7 \n", "М141БПЛТЛ035 5 6 7 6 8 5 5 4.0 6 6 \n", "М141БПЛТЛ030 7 6 6 6 7 6 6 4.0 8 5 \n", "М141БПЛТЛ070 5 5 6 4 8 6 5 5.0 6 4 \n", "М141БПЛТЛ051 8 9 8 6 8 7 6 7.0 6 6 \n", "М141БПЛТЛ046 5 7 7 4 7 5 8 5.0 7 5 \n", "М141БПЛТЛ047 5 8 6 4 7 5 9 5.0 6 4 \n", "М141БПЛТЛ063 5 5 6 4 8 4 4 4.0 5 4 \n", "М141БПЛТЛ029 6 8 8 7 9 5 6 7.0 6 5 \n", "М141БПЛТЛ064 7 8 6 7 6 6 8 4.0 6 4 \n", "М141БПЛТЛ076 7 7 8 6 8 6 6 6.0 8 6 \n", "М141БПЛТЛ062 7 7 7 6 9 6 6 5.0 6 5 \n", "М141БПЛТЛ074 5 6 7 4 7 6 5 6.0 6 6 \n", "130232038 6 7 6 5 8 4 8 4.0 8 4 \n", "М141БПЛТЛ023 7 9 6 8 9 6 9 4.0 7 7 \n", "М141БПЛТЛ054 7 8 6 4 8 6 4 4.0 6 4 \n", "М141БПЛТЛ012 6 6 7 4 10 6 5 4.0 7 5 \n", "М141БПЛТЛ006 6 5 6 5 8 5 5 5.0 6 4 \n", "М141БПЛТЛ055 6 5 6 4 7 7 4 8.0 5 4 \n", "М141БПЛТЛ007 6 7 7 6 7 6 7 4.0 5 5 \n", "М141БПЛТЛ050 8 6 6 6 8 4 5 4.0 5 5 \n", "М141БПЛТЛ066 7 10 7 7 9 5 8 4.0 6 5 \n", "М141БПЛТЛ043 5 5 6 5 8 5 6 5.0 6 4 \n", "М141БПЛТЛ084 6 7 8 4 8 5 5 NaN 8 4 \n", "М141БПЛТЛ005 5 7 5 5 7 4 7 4.0 5 4 \n", "М141БПЛТЛ044 4 5 7 4 6 4 4 5.0 4 4 \n", "13051038 5 4 4 4 9 5 5 5.0 5 4 \n", "\n", " polsoc ptheo preg compp game wpol male \n", "id \n", "М141БПЛТЛ024 9 7.0 8 8.0 6 10 1 \n", "М141БПЛТЛ031 10 9.0 8 8.0 9 10 1 \n", "М141БПЛТЛ075 9 9.0 8 8.0 7 9 1 \n", "М141БПЛТЛ017 9 8.0 8 8.0 8 9 0 \n", "М141БПЛТЛ069 9 7.0 6 5.0 8 10 1 \n", "М141БПЛТЛ072 9 7.0 8 8.0 9 9 0 \n", "М141БПЛТЛ020 9 7.0 8 6.0 8 9 1 \n", "М141БПЛТЛ026 8 8.0 8 7.0 7 8 0 \n", "М141БПЛТЛ073 9 7.0 7 6.0 10 9 1 \n", "М141БПЛТЛ078 9 6.0 8 8.0 6 7 0 \n", "М141БПЛТЛ060 8 5.0 7 8.0 7 9 1 \n", "М141БПЛТЛ040 8 5.0 8 5.0 7 10 0 \n", "М141БПЛТЛ065 10 9.0 8 8.0 6 9 1 \n", "М141БПЛТЛ053 8 7.0 8 6.0 9 9 0 \n", "М141БПЛТЛ015 7 6.0 7 7.0 10 7 0 \n", "М141БПЛТЛ021 6 6.0 8 6.0 7 8 0 \n", "М141БПЛТЛ018 8 7.0 7 7.0 7 8 0 \n", "М141БПЛТЛ039 9 6.0 7 8.0 4 9 1 \n", "М141БПЛТЛ036 7 6.0 7 6.0 7 8 1 \n", "М141БПЛТЛ049 9 6.0 8 5.0 6 8 0 \n", "06114043 9 NaN 7 8.0 7 8 1 \n", "М141БПЛТЛ048 8 4.0 6 7.0 7 8 0 \n", "М141БПЛТЛ034 6 5.0 8 5.0 8 9 0 \n", "М141БПЛТЛ045 8 6.0 8 6.0 5 8 0 \n", "М141БПЛТЛ033 8 7.0 8 5.0 7 8 0 \n", "М141БПЛТЛ083 7 5.0 7 5.0 4 7 0 \n", "М141БПЛТЛ008 9 8.0 5 5.0 10 4 1 \n", "М141БПЛТЛ001 8 4.0 6 6.0 4 8 0 \n", "М141БПЛТЛ038 8 4.0 5 4.0 9 7 1 \n", "М141БПЛТЛ052 7 5.0 8 6.0 5 7 1 \n", "М141БПЛТЛ011 7 6.0 8 6.0 5 8 0 \n", "М141БПЛТЛ004 6 5.0 7 5.0 8 8 0 \n", "М141БПЛТЛ010 8 6.0 8 6.0 5 8 1 \n", "М141БПЛТЛ071 7 6.0 5 NaN 5 7 0 \n", "М141БПЛТЛ035 7 5.0 8 7.0 6 7 0 \n", "М141БПЛТЛ030 5 5.0 8 5.0 7 9 1 \n", "М141БПЛТЛ070 5 6.0 8 5.0 6 7 0 \n", "М141БПЛТЛ051 6 5.0 4 4.0 5 5 1 \n", "М141БПЛТЛ046 7 5.0 8 4.0 5 7 0 \n", "М141БПЛТЛ047 6 4.0 7 4.0 8 8 0 \n", "М141БПЛТЛ063 5 4.0 7 5.0 8 8 0 \n", "М141БПЛТЛ029 8 5.0 7 4.0 5 7 0 \n", "М141БПЛТЛ064 4 4.0 6 5.0 4 7 0 \n", "М141БПЛТЛ076 8 5.0 7 4.0 4 6 0 \n", "М141БПЛТЛ062 6 4.0 5 5.0 4 6 0 \n", "М141БПЛТЛ074 8 6.0 6 6.0 8 8 1 \n", "130232038 5 5.0 6 4.0 5 6 0 \n", "М141БПЛТЛ023 7 6.0 4 4.0 7 5 1 \n", "М141БПЛТЛ054 8 4.0 4 4.0 4 8 1 \n", "М141БПЛТЛ012 7 4.0 5 4.0 4 8 1 \n", "М141БПЛТЛ006 7 5.0 7 5.0 6 8 0 \n", "М141БПЛТЛ055 6 4.0 6 5.0 4 5 1 \n", "М141БПЛТЛ007 6 5.0 4 5.0 4 7 1 \n", "М141БПЛТЛ050 6 4.0 5 4.0 6 6 0 \n", "М141БПЛТЛ066 6 4.0 6 4.0 5 6 0 \n", "М141БПЛТЛ043 5 4.0 5 NaN 4 6 0 \n", "М141БПЛТЛ084 4 4.0 4 4.0 6 7 1 \n", "М141БПЛТЛ005 5 5.0 4 4.0 4 8 1 \n", "М141БПЛТЛ044 4 4.0 6 NaN 5 5 1 \n", "13051038 4 NaN 7 4.0 4 4 1 " ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df # теперь выглядит так" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Иногда такой подход может быть полезен. Представьте, что все переменные в таблице, кроме *id*, измерены в количественной шкале, и мы планируем реализовать на них статистический метод, который работает исключительно с числовыми данными. Если мы просто выкинем столбец с *id*, мы потеряем информацию о наблюдении, если мы его оставим, нам придется собирать в отдельную таблицу показатели, к которым будем применять метод, так как сохраненный в исходной таблице текст будет мешать. Если же мы назовем строки в соответствии с *id*, то избавимся от столбца с текстом и не потеряем информацию о наблюдении (код, имя респондента, название страны и прочее)." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ " По таблице можно получить некоторую сводную информацию. Например, число переменных (столбцов) и наблюдений (строк), а также число заполненных значений. " ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Index: 60 entries, М141БПЛТЛ024 to 13051038\n", "Data columns (total 17 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 catps 60 non-null int64 \n", " 1 mstat 60 non-null int64 \n", " 2 soc 60 non-null int64 \n", " 3 econ 60 non-null int64 \n", " 4 eng 60 non-null int64 \n", " 5 polth 60 non-null int64 \n", " 6 mstat2 60 non-null int64 \n", " 7 phist 59 non-null float64\n", " 8 law 60 non-null int64 \n", " 9 phil 60 non-null int64 \n", " 10 polsoc 60 non-null int64 \n", " 11 ptheo 58 non-null float64\n", " 12 preg 60 non-null int64 \n", " 13 compp 57 non-null float64\n", " 14 game 60 non-null int64 \n", " 15 wpol 60 non-null int64 \n", " 16 male 60 non-null int64 \n", "dtypes: float64(3), int64(14)\n", "memory usage: 8.4+ KB\n" ] } ], "source": [ "df.info()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Метод `.info()` выдал различную информацию. Во-первых, он сообщил, что `df` является объектом *DataFrame*. Во-вторых, он вывел число строк (`60 entries`) и показал их индексы (`М141БПЛТЛ024 to 13051038`). В-третьих, он вывел число столбцов (`total 17 columns`). Наконец, он выдал информацию по каждому столбцу. \n", "\n", "В выдаче выше представлено, сколько непустых элементов содержится в каждом столбце. Непустые элементы `non-null` ‒ это всё, кроме пропущенных значений, которые кодируются особым образом (`NaN` ‒ от Not A Number). В нашей таблице почти все столбцы заполнены полностью: 60 ненулевых элементов из 60. Но есть столбцы с пропущенными значениями: *phist*, *ptheo*, *compp*.\n", "\n", "Далее указан тип каждого столбца, целочисленный `int64` и с плавающей точкой`float64`. Числа в конце - это объем памяти, который требуется для хранения." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Сводную статистическую информацию можно получить с помощью метода `.describe()`." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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catpsmstatsoceconengpolthmstat2phistlawphilpolsocptheopregcomppgamewpolmale
count60.00000060.00000060.00000060.00000060.00000060.00000060.00000059.00000060.00000060.00000060.00000058.00000060.00000057.00000060.00000060.00000060.000000
mean6.7000007.4666677.2166676.1166678.3500006.6000007.0333335.8305086.8666675.9666677.1833335.6034486.7000005.6315796.2500007.5666670.450000
std1.4178041.5780991.2086081.7182140.9711951.6385191.7070811.6624921.2138561.8500271.5890691.4134651.3567161.4221661.7814961.4304990.501692
min4.0000004.0000004.0000004.0000006.0000004.0000004.0000004.0000004.0000004.0000004.0000004.0000004.0000004.0000004.0000004.0000000.000000
25%6.0000006.0000006.0000005.0000008.0000006.0000006.0000004.0000006.0000004.7500006.0000004.2500006.0000004.0000005.0000007.0000000.000000
50%7.0000007.0000007.0000006.0000008.0000006.0000007.0000006.0000007.0000005.5000007.0000005.0000007.0000005.0000006.0000008.0000000.000000
75%7.2500009.0000008.0000007.0000009.0000008.0000008.0000007.0000008.0000007.0000008.0000006.0000008.0000007.0000007.2500008.2500001.000000
max10.00000010.00000010.00000010.00000010.00000010.00000010.00000010.0000009.00000010.00000010.0000009.0000008.0000008.00000010.00000010.0000001.000000
\n", "
" ], "text/plain": [ " catps mstat soc econ eng polth \\\n", "count 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 \n", "mean 6.700000 7.466667 7.216667 6.116667 8.350000 6.600000 \n", "std 1.417804 1.578099 1.208608 1.718214 0.971195 1.638519 \n", "min 4.000000 4.000000 4.000000 4.000000 6.000000 4.000000 \n", "25% 6.000000 6.000000 6.000000 5.000000 8.000000 6.000000 \n", "50% 7.000000 7.000000 7.000000 6.000000 8.000000 6.000000 \n", "75% 7.250000 9.000000 8.000000 7.000000 9.000000 8.000000 \n", "max 10.000000 10.000000 10.000000 10.000000 10.000000 10.000000 \n", "\n", " mstat2 phist law phil polsoc ptheo \\\n", "count 60.000000 59.000000 60.000000 60.000000 60.000000 58.000000 \n", "mean 7.033333 5.830508 6.866667 5.966667 7.183333 5.603448 \n", "std 1.707081 1.662492 1.213856 1.850027 1.589069 1.413465 \n", "min 4.000000 4.000000 4.000000 4.000000 4.000000 4.000000 \n", "25% 6.000000 4.000000 6.000000 4.750000 6.000000 4.250000 \n", "50% 7.000000 6.000000 7.000000 5.500000 7.000000 5.000000 \n", "75% 8.000000 7.000000 8.000000 7.000000 8.000000 6.000000 \n", "max 10.000000 10.000000 9.000000 10.000000 10.000000 9.000000 \n", "\n", " preg compp game wpol male \n", "count 60.000000 57.000000 60.000000 60.000000 60.000000 \n", "mean 6.700000 5.631579 6.250000 7.566667 0.450000 \n", "std 1.356716 1.422166 1.781496 1.430499 0.501692 \n", "min 4.000000 4.000000 4.000000 4.000000 0.000000 \n", "25% 6.000000 4.000000 5.000000 7.000000 0.000000 \n", "50% 7.000000 5.000000 6.000000 8.000000 0.000000 \n", "75% 8.000000 7.000000 7.250000 8.250000 1.000000 \n", "max 8.000000 8.000000 10.000000 10.000000 1.000000 " ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "В случае количественных показателей этот метод возвращает таблицу с основными описательными статистиками: \n", "\n", "* count ‒ число непустых (заполненных) значений\n", "* mean ‒ среднее арифметическое\n", "* std ‒ стандартное отклонение (показатель разброса данных относительно среднего значения)\n", "* min ‒ миниммальное значение\n", "* max ‒ максимальное значение\n", "* 25% ‒ нижний квартиль (значение, которое 25% значений не превышают)\n", "* 50% ‒ медиана (значение, которое 50% значений не превышают)\n", "* 75% ‒ верхний квартиль (значение, которое 75% значений не превышают)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Когда таблица большая, увидеть все столбцы разом не получится. Поэтому полезно знать, как получить список названий столбцов." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['catps', 'mstat', 'soc', 'econ', 'eng', 'polth', 'mstat2', 'phist',\n", " 'law', 'phil', 'polsoc', 'ptheo', 'preg', 'compp', 'game', 'wpol',\n", " 'male'],\n", " dtype='object')" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Обратите внимание: полученный объект не является обычным списком:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "pandas.core.indexes.base.Index" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "type(df.columns) # это Index из pandas" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Чтобы получить список названий, достаточно сконвертировать тип с помощью привычного `list()`: " ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['catps', 'mstat', 'soc', 'econ', 'eng', 'polth', 'mstat2', 'phist', 'law', 'phil', 'polsoc', 'ptheo', 'preg', 'compp', 'game', 'wpol', 'male']\n" ] } ], "source": [ "l = list(df.columns)\n", "print(l)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Аналогичная история со строками: " ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['М141БПЛТЛ024', 'М141БПЛТЛ031', 'М141БПЛТЛ075', 'М141БПЛТЛ017',\n", " 'М141БПЛТЛ069', 'М141БПЛТЛ072', 'М141БПЛТЛ020', 'М141БПЛТЛ026',\n", " 'М141БПЛТЛ073', 'М141БПЛТЛ078', 'М141БПЛТЛ060', 'М141БПЛТЛ040',\n", " 'М141БПЛТЛ065', 'М141БПЛТЛ053', 'М141БПЛТЛ015', 'М141БПЛТЛ021',\n", " 'М141БПЛТЛ018', 'М141БПЛТЛ039', 'М141БПЛТЛ036', 'М141БПЛТЛ049',\n", " '06114043', 'М141БПЛТЛ048', 'М141БПЛТЛ034', 'М141БПЛТЛ045',\n", " 'М141БПЛТЛ033', 'М141БПЛТЛ083', 'М141БПЛТЛ008', 'М141БПЛТЛ001',\n", " 'М141БПЛТЛ038', 'М141БПЛТЛ052', 'М141БПЛТЛ011', 'М141БПЛТЛ004',\n", " 'М141БПЛТЛ010', 'М141БПЛТЛ071', 'М141БПЛТЛ035', 'М141БПЛТЛ030',\n", " 'М141БПЛТЛ070', 'М141БПЛТЛ051', 'М141БПЛТЛ046', 'М141БПЛТЛ047',\n", " 'М141БПЛТЛ063', 'М141БПЛТЛ029', 'М141БПЛТЛ064', 'М141БПЛТЛ076',\n", " 'М141БПЛТЛ062', 'М141БПЛТЛ074', '130232038', 'М141БПЛТЛ023',\n", " 'М141БПЛТЛ054', 'М141БПЛТЛ012', 'М141БПЛТЛ006', 'М141БПЛТЛ055',\n", " 'М141БПЛТЛ007', 'М141БПЛТЛ050', 'М141БПЛТЛ066', 'М141БПЛТЛ043',\n", " 'М141БПЛТЛ084', 'М141БПЛТЛ005', 'М141БПЛТЛ044', '13051038'],\n", " dtype='object', name='id')" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.index" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Переименование столбцов и строк" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Раз названия столбцов можно вывести в виде некоторого перечня, то этот перечень можно редактировать. " ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['catps', 'mstat', 'soc', 'econ', 'eng', 'polth', 'mstat2', 'phist',\n", " 'law', 'phil', 'polsoc', 'ptheo', 'preg', 'compp', 'game', 'wpol',\n", " 'male'],\n", " dtype='object')" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Давайте переименуем переменную `catps` в `cps`. Для этого сохраним названия в список `my_cols` и изменим в списке первый элемент:" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['catps', 'mstat', 'soc', 'econ', 'eng', 'polth', 'mstat2', 'phist', 'law', 'phil', 'polsoc', 'ptheo', 'preg', 'compp', 'game', 'wpol', 'male']\n", "['cps', 'mstat', 'soc', 'econ', 'eng', 'polth', 'mstat2', 'phist', 'law', 'phil', 'polsoc', 'ptheo', 'preg', 'compp', 'game', 'wpol', 'male']\n" ] } ], "source": [ "my_cols = list(df.columns)\n", "print(my_cols)\n", "my_cols[0] = \"cps\"\n", "print(my_cols)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Index(['cps', 'mstat', 'soc', 'econ', 'eng', 'polth', 'mstat2', 'phist', 'law',\n", " 'phil', 'polsoc', 'ptheo', 'preg', 'compp', 'game', 'wpol', 'male'],\n", " dtype='object')" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.columns = my_cols # сохраним изменения в самой базе df\n", "df.columns # все обновилось!" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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cpsmstatsoceconengpolthmstat2phistlawphilpolsocptheopregcomppgamewpolmale
id
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М141БПЛТЛ03181010101010109.0910109.088.09101
М141БПЛТЛ0759991091098.091099.088.0791
М141БПЛТЛ017998899106.09998.088.0890
М141БПЛТЛ06910101010101098.081097.065.08101
М141БПЛТЛ0721098109898.081097.088.0990
М141БПЛТЛ020877691088.07797.086.0891
М141БПЛТЛ0267108710798.08888.087.0780
М141БПЛТЛ07379889898.08997.076.01091
М141БПЛТЛ078669561076.08696.088.0670
М141БПЛТЛ06078779885.07585.078.0791
М141БПЛТЛ04069869786.09585.085.07100
М141БПЛТЛ06599848879.085109.088.0691
М141БПЛТЛ05367759878.08687.086.0990
М141БПЛТЛ01569769794.07776.077.01070
М141БПЛТЛ02189889887.07766.086.0780
М141БПЛТЛ01877979786.06787.077.0780
М141БПЛТЛ03998988868.07696.078.0491
М141БПЛТЛ036810788694.08876.076.0781
М141БПЛТЛ04967668684.08596.085.0680
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М141БПЛТЛ04886869644.06484.067.0780
М141БПЛТЛ03469769686.07665.085.0890
М141БПЛТЛ04558878676.07786.086.0580
М141БПЛТЛ03359879797.07887.085.0780
М141БПЛТЛ08355658765.07575.075.0470
М141БПЛТЛ0081088981098.091098.055.01041
М141БПЛТЛ001677410776.08684.066.0480
М141БПЛТЛ03879649676.07484.054.0971
М141БПЛТЛ05277778666.08675.086.0571
М141БПЛТЛ01176869665.06676.086.0580
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М141БПЛТЛ07169779684.06776.05NaN570
М141БПЛТЛ03556768554.06675.087.0670
М141БПЛТЛ03076667664.08555.085.0791
М141БПЛТЛ07055648655.06456.085.0670
М141БПЛТЛ05189868767.06665.044.0551
М141БПЛТЛ04657747585.07575.084.0570
М141БПЛТЛ04758647595.06464.074.0880
М141БПЛТЛ06355648444.05454.075.0880
М141БПЛТЛ02968879567.06585.074.0570
М141БПЛТЛ06478676684.06444.065.0470
М141БПЛТЛ07677868666.08685.074.0460
М141БПЛТЛ06277769665.06564.055.0460
М141БПЛТЛ07456747656.06686.066.0881
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М141БПЛТЛ02379689694.07776.044.0751
М141БПЛТЛ05478648644.06484.044.0481
М141БПЛТЛ012667410654.07574.054.0481
М141БПЛТЛ00665658555.06475.075.0680
М141БПЛТЛ05565647748.05464.065.0451
М141БПЛТЛ00767767674.05565.045.0471
М141БПЛТЛ05086668454.05564.054.0660
М141БПЛТЛ066710779584.06564.064.0560
М141БПЛТЛ04355658565.06454.05NaN460
М141БПЛТЛ0846784855NaN8444.044.0671
М141БПЛТЛ00557557474.05455.044.0481
М141БПЛТЛ04445746445.04444.06NaN551
1305103854449555.0544NaN74.0441
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"source": [ "Обратите внимание: для того, чтобы изменить одно или несколько названий, совсем необязательно создавать новый список «с нуля». Достаточно определить индексы нужных элементов и поправить только необходимые названия. \n", "\n", "Точно так же можно было поступить со строками. Но давайте лучше напишем функцию, которая будет делать все начальные буквы в названиях столбцов заглавными." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "def rename_cols(df):\n", " oldnames = list(df.columns) # список старых названий \n", " newnames = [i.capitalize() for i in oldnames] # список новых названий\n", " df.columns = newnames # сохранение изменений\n", " return df" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Теперь применим нашу функцию `rename_cols()` к базе `df`:" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CpsMstatSocEconEngPolthMstat2PhistLawPhilPolsocPtheoPregComppGameWpolMale
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М141БПЛТЛ024798898108.07997.088.06101
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" ], "text/plain": [ " Cps Mstat Soc Econ Eng Polth Mstat2 Phist Law Phil \\\n", "id \n", "М141БПЛТЛ024 7 9 8 8 9 8 10 8.0 7 9 \n", "М141БПЛТЛ031 8 10 10 10 10 10 10 9.0 9 10 \n", "М141БПЛТЛ075 9 9 9 10 9 10 9 8.0 9 10 \n", "М141БПЛТЛ017 9 9 8 8 9 9 10 6.0 9 9 \n", "М141БПЛТЛ069 10 10 10 10 10 10 9 8.0 8 10 \n", "\n", " Polsoc Ptheo Preg Compp Game Wpol Male \n", "id \n", "М141БПЛТЛ024 9 7.0 8 8.0 6 10 1 \n", "М141БПЛТЛ031 10 9.0 8 8.0 9 10 1 \n", "М141БПЛТЛ075 9 9.0 8 8.0 7 9 1 \n", "М141БПЛТЛ017 9 8.0 8 8.0 8 9 0 \n", "М141БПЛТЛ069 9 7.0 6 5.0 8 10 1 " ] }, "execution_count": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df2 = rename_cols(df)\n", "df2.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Кажется, что таким способом мы сохранили изменения в новой базе `df2`, а старую базу `df` не тронули. Однако, если мы посмотрим на базу `df`, мы увидим, что она тоже изменилась!" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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CpsMstatSocEconEngPolthMstat2PhistLawPhilPolsocPtheoPregComppGameWpolMale
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М141БПЛТЛ024798898108.07997.088.06101
М141БПЛТЛ03181010101010109.0910109.088.09101
М141БПЛТЛ0759991091098.091099.088.0791
М141БПЛТЛ017998899106.09998.088.0890
М141БПЛТЛ06910101010101098.081097.065.08101
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" ], "text/plain": [ " Cps Mstat Soc Econ Eng Polth Mstat2 Phist Law Phil \\\n", "id \n", "М141БПЛТЛ024 7 9 8 8 9 8 10 8.0 7 9 \n", "М141БПЛТЛ031 8 10 10 10 10 10 10 9.0 9 10 \n", "М141БПЛТЛ075 9 9 9 10 9 10 9 8.0 9 10 \n", "М141БПЛТЛ017 9 9 8 8 9 9 10 6.0 9 9 \n", "М141БПЛТЛ069 10 10 10 10 10 10 9 8.0 8 10 \n", "\n", " Polsoc Ptheo Preg Compp Game Wpol Male \n", "id \n", "М141БПЛТЛ024 9 7.0 8 8.0 6 10 1 \n", "М141БПЛТЛ031 10 9.0 8 8.0 9 10 1 \n", "М141БПЛТЛ075 9 9.0 8 8.0 7 9 1 \n", "М141БПЛТЛ017 9 8.0 8 8.0 8 9 0 \n", "М141БПЛТЛ069 9 7.0 6 5.0 8 10 1 " ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Это произошло, потому что датафреймы являются изменяемой структурой данных (как, например, списки). Поэтому, применяя методы к объекту типа `DataFrame`, мы меняем исходный датафрейм, и к этому надо быть готовым. Если вы не планируете вносить изменения в исходную базу, имеет смысл сделать ее копию и работать с ней. Например, вот так:" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [], "source": [ "# метод copy\n", "df_new = df.copy()\n", "\n", "# вносим изменения в df_new - переименовываем один столбец\n", "new_cols = list(df_new.columns)\n", "new_cols[1] = \"Matstat\"\n", "df_new.columns = new_cols" ] }, { "cell_type": "code", "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Cps Mstat Soc Econ Eng Polth Mstat2 Phist Law Phil \\\n", "id \n", "М141БПЛТЛ024 7 9 8 8 9 8 10 8.0 7 9 \n", "М141БПЛТЛ031 8 10 10 10 10 10 10 9.0 9 10 \n", "\n", " Polsoc Ptheo Preg Compp Game Wpol Male \n", "id \n", "М141БПЛТЛ024 9 7.0 8 8.0 6 10 1 \n", "М141БПЛТЛ031 10 9.0 8 8.0 9 10 1 \n", "\n", "\n", " Cps Matstat Soc Econ Eng Polth Mstat2 Phist Law Phil \\\n", "id \n", "М141БПЛТЛ024 7 9 8 8 9 8 10 8.0 7 9 \n", "М141БПЛТЛ031 8 10 10 10 10 10 10 9.0 9 10 \n", "\n", " Polsoc Ptheo Preg Compp Game Wpol Male \n", "id \n", "М141БПЛТЛ024 9 7.0 8 8.0 6 10 1 \n", "М141БПЛТЛ031 10 9.0 8 8.0 9 10 1 \n" ] } ], "source": [ "# сравниваем\n", "\n", "print(df.head(2))\n", "print(\"\\n\") # для пустой строчки между df и df_new\n", "print(df_new.head(2))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Обратите внимание:** создать копию обычным присваиванием не получится, код вида `df_new = df`создаст новую ссылку на датафрейм, но не новый датафрейм. Поэтому при изменении `df_new` база `df` также изменится." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Визуализация данных" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[,\n", " ,\n", " ,\n", " ],\n", " [,\n", " ,\n", " ,\n", " ],\n", " [,\n", " ,\n", " ,\n", " ],\n", " [,\n", " ,\n", " ,\n", " ],\n", " [,\n", " ,\n", " ,\n", " ]],\n", " dtype=object)" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df[df.columns].hist(bins=20,figsize=(10, 10)) # Визуализация значений " ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[,\n", " ],\n", " [,\n", " ]],\n", " dtype=object)" ] }, "execution_count": 37, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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/Pm+k03EkgF0+aQBxUS4ef7/M6SgiIo4JnsouAeO3r25ib0M7f7x8PPFBsJZBnJMSH8XFJ+Tz4uq9NATBImMREV9Q2ZJeeXtLNf9evps5pxdSXJDmdBwJAl+ZOohOt5f/rNCqAREJTypb0mMNbV388D9rGZ6dyHfOHu50HAkSo3KTmTAglac/KsepG3JERJyksiU99ouXNlDX2sXdV0wgNsrldBwJIledOIBt1S2sKm9wOoqIiN+pbEmPvLaugnmr9/HN6cMoytch09I7F4zPIz7axdPLy52OIiLidypbclQ1zZ389IV1jOufwtenDXE6jgShxJhILhiXy8tr99HS6XY6joiIX6lsyRFZa/nx8+to7fLwx8vHExVk++RI4LjyxAG0dXl4de0+p6OIiPiVfnLKET23ci+LNlXxg3NHMCw78I+AkMA1cWA/hmYl8tRHmkoUkfCisiWfa29DO796aQMnFaRx/SmDnY4jQc4Yw5XFA1i1u4GtVc1OxxER8RuVLflMXq/lh/9Zi8da7rp8PK4I43QkCQGXTMzHFWF4bqX23BKR8KGyJZ/piQ/LeG/7fn52/mgGpsc7HUdCREZiDGcMz2Teqn14vNpzS0TCg8qW/Jdd+1u547VNnDE8ky+eNMDpOBJiLjkhn8qmDj7cWet0FBERv1DZkk/weC3ffWY10a4Ifv+FcRij6UPpWzNGZ5MYE8nzq/Y6HUVExC9UtuQT5r6zk5W7G7h9dhE5KbFOx5EQFBvlYlZRDq+vq6C9y+N0HBERn1PZko9trmzinoVbmVWUw+wJeU7HkRB2ycR8Wrs8vLGx0ukoIiI+p7IlAHS5vXzn6TUkx0Xym4uLNH0oPjVlcDp5KbG8qKlEEQkDKlsCwL1vbmVTRRP/d+k40hNjnI4jIS4iwjD7hHze2bafmuZOp+OIiPiUypawcnc9DyzeweWT+jNjdLbTcSRMXHpCPh6v5eU1Or5HREKbylaYa+ty891n1pCbEsfPLxztdBwJI8OykxiTl8yLqzWVKCKhTWUrzP3u9c3s2t/KXZePJyk2yuk4EmYuGp/H2j2NlNW2Oh1FRMRnVLbC2Lvbavjn+2X8zymDmTok3ek4EobOH5cLwCtrKxxOIiLiOypbYaqxrZvvP7uWIZkJ/GDmCKfjSJjq3y+eiQNTtW5LREKaylaY+uXLG6hp6eSeKycQG+VyOo6EsQvH57G5spnt1c1ORxER8QmVrTD0+roKXli1l1umDWVc/1Sn40iYO29sLsbAy2s0lSgioUllK8xUN3fwkxfWMTY/hVumD3U6jgjZybFMHpzGK2v3Ya11Oo6ISJ9T2Qoj1lp+8vw6Wrs83HPleKJc+t8vgeGCcXnsqGllU4WmEkUk9OinbRh5tmQPizZV88OZIxmaleR0HJGPzSrKwRVheGWtFsqLSOjxa9kyxsQbY141xiw2xswzxuhcGD8pr2vj9lc2MqUwjetPLnA6jsgnpCfGcPKQdF5ZW6GpRBEJOf4e2ZoJfGitPRNYfvBt8TGv1/K9Z9cA8IfLxhMRoUOmJfBcOD6P3XVtrN3T6Mj1G9u7ae/yOHLtcNDS4aa8to0ut9fpKD1iraWxrZtOd/B8TeysaWFnTYvTMXqssa2L8to2vN7g+Jo4Hv4uWzuAQ6NZqUCtn68flh5ZuosPd9Xx8wtHMyAt3uk4Ip/p3DE5RLmMI3tuVTd1sLu2jR01LXR0B88P12Dh9Xp5Z2sNJWX1vL9jv9NxemRPfTu769rYXt2C2xP4ZWDj3kZeWVPBK2sq2FjhzC8svdHW5Wbxwa+JVeWBn/d4+btsbQMmG2M2AMXAssOfNMbMMcaUGGNKampq/BwtNG2raubOBVs4e1QWl0/q73Qckc+VEhfFGcMzeX19pd+nEru9B65nLbi9msbsa14vdB0sLJ1BMrJ16OvA64Vg+JJo7nJ//Litw32E/zIwdLu9HBrQ6gyDX3D8XbauBRZYa8cArwJfOvxJa+1ca22xtbY4MzPTz9FCT7fHy23PrCExJpL/u3Qcxmj6UALbzKJc9ja0+30qMTsphoykaHJTY0mMifTrtcNBZGQEkwenMTA9nuJBaU7H6ZG81FjSEqMZkBZHdGTg30tWPDCV8QNSmDgolRMGBv7+iSnx0UwYkEJBRnxY7Pfo71cVA9QdfLwfSPHz9cPKn9/azrq9jTxwzUQyk3QvggS+GaOyiYwwvLa+gvED/PcCHOmKIDclzm/XC0e5qXHkpgbP5zgm0kV+EOV1uVycMSLL6Ri9Mjgz0ekIfuPvuv4kcIUxZjFwDfAvP18/bKwpb+DPb2/nkhPymTU21+k4Ij2SEh/FyUMzmO/AVKKIiK/4tWxZaxustedaa8+01s6w1tYd/aOktzq6Pdz2zGoyE2P45UVjnI4j0ivnFeVQVtvGxoomp6OIiPSJwJ+Ill67c/4WdtS08ofLx5ESF+V0HJFemTE6mwgD89dXOh1FRKRPqGyFmGU79vPI0l1cO3UQpw3TTQYSfNITY5hSmM5r63QwtYiEBpWtENLU0c33n13L4IwEfjRrlNNxRI7ZrKIcdtS0sq1KZyWKSPBT2Qohv355IxWN7fzxivHERbucjiNyzM4dk4Mx8No6TSWKSPBT2QoRCzdW8eyKPdx85hAmDuzndByR45KVHEvxoH68vl5TiSIS/FS2QkBtSyc/fn4to3KT+fZZw52OI9InZhblsrmymV37W52OIiJyXFS2gpy1lp++sJ6mdjf3XDk+KHY6FumJmUU5ABrdEpGgp5/MQe7F1XuZv6GS78wYzsicZKfjiPSZ/NQ4xg9I1RYQIhL0VLaCWEVjOz+ft4FJg/ox5/RCp+OI9LnzinJYu6eR8ro2p6OIiBwzla0gZa3lB/9Zi9tj+ePl43FF6JBpCT2zig4cNbVgg0a3RCR4qWwFqSc+KOPdbfv5yfmjKMhIcDqOiE8MTI9nTF6yNjgVkaCmshWESve3csdrmzl9eCZfmjzQ6TgiPjWrKIeVuxuobOxwOoqIyDFR2QoyHq/lu8+uIcpluPML4zBG04cS2maNPTCVOF93JYpIkFLZCjJz39nJirJ6bp9dRE5KrNNxRHxuSGYiw7ISma91WyISpFS2gsimiibuXriF88bmMHtCntNxRPxmVlEOy3fVUdvS6XQUEZFeU9kKEl1uL7c9s4aUuGh+c/FYTR9KWDm3KAevPXAslYhIsFHZChIPLN7Bpoom7rikiLSEaKfjiPjV6NxkBqbFaypRRIKSylYQ2FzZxJ/f3sZF4/M4Z0yO03FE/M4Yw8yiHJZu309je7fTcUREeqVHZcsY8+2evE/6ntvj5fvPriUlLopfXjTG6TgijplZlEO3x/L25mqno4iI9EpPR7au/Yz3XdeHOeRzPPjOTtbtbeT22Zo+lPA2oX8q2ckxOphaRIJO5JGeNMZ8EbgaGGyMeemwp5KAWl8GE9hW1cy9i7Zx3tgczju415BIuIqIMMwck8PTJeW0dbmJjz7iy5eISMA42qvVMqACyAD+eNj7m4G1vgolBzYv/f5/1pIQ4+JXFxU5HUckIJxblMNj75exZEvNx5udiogEuiOWLWttGVAGTPVPHDnkkfd2sbq8gXuvmkBmUozTcUQCwkkFaaQlRDN/Q6XKlogEjZ4ukJ9ijPnIGNNijOkyxniMMU2+Dheudta0cNcbWzh7VDYXjdfmpSKHRLoimDEqm7c2VdPp9jgdR0SkR3q6QP7PwBeBbUAc8FXgfl+FCmder+VHz60jJjKCOy4p0ualIp8yc2wOzZ1ulm3XslERCQ493mfLWrsdcFlrPdbafwDTfBcrfD1TUs7y0jp+ev4ospJ19qHIp508JJ2kmEjdlSgiQaOnZavNGBMNrDbG3GmM+Q6Q0NuLGWNmGmMWH/xTYYy5uLd/Ryirae7kjtc2MXlwGlcUD3A6jkhAiol0cdaoLBZurMLt8TodR0TkqHpatr588L+9BWgFBgCX9vZi1tr51tozrbVnAruBRb39O0LZr1/ZSEe3lzsu1dmHIkcysyiH+rZulu+qczqKiMhR9bRsXWyt7bDWNllrf2WtvQ244FgvaowpBKqstS3H+neEmsVbqnlpzT6+Pm0IQzITnY4jEtDOGJ5FbFRE2J6V6PVaympb2V7dQkd3cNwo8PKavdy1YDPLttc4HaVH1uyu564Fm3nyw91OR+mRysY2bn9pA7e/tIH9zW1Ox5FPcWoH+UuBF47j40NKW5ebn724niGZCdx85hCn44gEvLhoF2cOz2L++kq8Xut0HL9r7nDT1O6mvctDbWuX03GOqqPDzQc76qhv7WbxluAoW0u21VDf2s2GvY2U1wX+uMBbm6vZ19jBvsYO3ty43+k48ilHLFvGmC8aY17m4A7yh/1ZzPHtIH8h8NKn32mMmWOMKTHGlNTUBMc3ZF+4d9E29tS3c8clY4mJdDkdRyQozBqbQ3VzJ6vKG5yO4ndx0S5cEQZjIDEm8HfSj42NJDflwA0/BRnBMXJfmHlgWXK/hCgy4wP/ZqUxeSm4XOByQVH/FKfjyKf4fQd5Y0wO0GWt/a+yZq2dC8wFKC4uDotfVzfsa+Th93Zx1YkDmFyY7nQckaAxbWQWUS7D/PUVTBrUz+k4fhUdGcHInCS81hLp6vFN5Y762hmDaehwk5EY+MUF4IJx+UwpTCc1NpLIyMAvtOMH9OOOi8cBkBIf5XAa+bQjfpdaa8ustYuBs4F3rbVLOFC++gPHuoJ7NjDvGD82pHi9lp++sJ5+8VH8eNYop+OIBJXk2ChOHZrB/A2VWBsWv5t9QkSECZqiBRAZGRk0ReuQjMTYoChah6TER6loBaiefqe+A8QaY/KBN4HrgUeP5YLW2gettX8+lo8NNc+uKGd1eQM/OW+UvkFEjsHMohzK69rZsE8HWohI4Opp2TLW2jYOLGy/31p7CTDad7FCX0NbF7+fv4UTC/pxyQn5TscRCUozRucQYWBBmN6VKCLBocdlyxgzFbgGePXg+4JnbDUA/fGNrTS0dfGri3Qkj8ixSkuIZvLgdF5fr7IlIoGrp2XrVuDHwAvW2g0H98l623exQtv6vY3868MyvjK1gNF5yU7HEQlqs8bmsL26he3VzU5HERH5TD0qW9baJdbai6y1vz/49k5r7bd8Gy00eb2Wn89bT1pCNN+ZMdzpOCJB75zROQDM1+iWiASoI04FGmP+ay+sw1lrL+rbOKHvuZV7WLm7gT9cNo6UOC2KFzleOSmxTByYyvwNldwyfZjTcURE/svR1l1NBcqBfwMfcuzbPQjQ2N7N717fzMSBqXxhYn+n44iEjJlFOdzx2mbK69oYkBbvdBwRkU842jRiDvAToAi4F5gB7D84rbjE1+FCzZ8WbaW+rYvbZxcREaHeKtJXZo7JBXRXoogEpqNtauqx1s631l4LTAG2A4uNMd/0S7oQsqOmhcffL+OqkwZSlK+jFET60sD0eEbnJuuuRBEJSEddIG+MiTHGXAo8AXwDuA943tfBQs0dr24iLsrFbVoUL+ITM4tyWFFWT3VTh9NRREQ+4WgHUT/GgfMRJwK/staeaK39tbV2r1/ShYj3tu3nzc3VfGP6UDISY5yOIxKSZhUduCtxwcYqh5OIiHzS0Ua2vgwMB74NLDPGNB3802yM0fkYPeDxWn7z6kYGpMVx/SkFTscRCVlDsxIpzExg/voKp6OIiHzC0dZsRVhrkw7+ST7sT5K1Vrtx9sDTH5WzubKZH88aRUyky+k4IiHLGMOsohw+2FlHfWuX03FERD4WPEfGB6Gmjm7++MYWTipI+3iKQ0R8Z+aYXDxey8JNmkoUkcChsuVDf3l7O7WtXfzsglE6/1DED4ryk8lPjWOB7koUkQCisuUju2vb+Md7pVw6MZ9x/VOdjiMSFowxzCzK4d1t+2nu6HY6jogIoLLlM3cu2IwrwvCDc0c6HUUkrMwqyqHL4+WtzdVORxERAY5+XI8cg7V7GnhlbQXfmj6UnJRYp+OIhJWJA/vxyHXFnDwkw+koIiKAypZP/H7+ZtISornx9EKno4iEnYgIw/SR2U7HEBH5mKYR+9i722pYur2WW6YNJSk2yuk4IiIi4jCVrT7k9Vp+9/pm+veL45opA52OI7IpcrQAACAASURBVCIiIgFAZasPvbx2Hxv2NfHdc4ZrA1MREREBVLb6TJfbyx/f2Mqo3GRmj893Oo6IiIgECJWtPvLv5bvZXdfGD2eOICJCG5iKiIjIASpbfaCl0819b25jSmEaZwzPdDqOiIiIBBBt/dAHHn53J7WtXfx9lo7lERERkU/SyNZxqmvt4qF3djKrKIcJA3Qsj4iIiHySytZxmvvOTtq6Pdw2Y7jTUURERCQA+b1sGWO+Yox50xiz2BgT1Lft7W/p5LFlpVw0Po9h2UlOxxEREZEA5Nc1WwfL1RnW2rP8eV1feXDJDjrdHr511jCno4jIcWru6CbKFUFsVHDskVe6v4XGtm7GD+zndJQeaetyU9vaRW5SLJGRgT+p4vV6qWjqIDk2SqeByHHz9wL5cwGXMeZNYCNwq7XW4+cMfaK6uYPHPyjj4hPyGZKZ6HQcETkO1c0dVDV2YgwMzUoM+MK1o7qFfyzdhbVQ1dLJOaNznI50RF6vlyVba+jo8pKRFM1pwwL/ru2Vuxsor2vH5YJzRmUTG637yeTY+fvXi2wg+uDIVhsw+/AnjTFzjDElxpiSmpoaP0frnb8t3km3x/Kt6RrVEgl23R4LgLXQ7fE6nOboGtu7sPbg47YuZ8P0gNcLnd0HPq/tXcHx+3V794GcHg90e63DaSTY+buqNwJLDj5+Cyg+/Elr7VxgLkBxcXHAfnVXNXXwxIdlXHpCPgUZCU7HEZHjlJ0UA0C0KyIopowmDkpjX2M7rR0eZozKcjrOUUVGRjCpoB8VDe0MzQyO9a0TBqSypbKZ9ITooPiakMDm77K1DLjx4OMJwC4/X79P/PXt7Xi9lm9qVEskJES6IshPjXM6Rq9cMC647i8a0C+eAf3inY7RY0mxURQXpDkdQ0KEX8uWtXa1MabdGLMY2A/c48/r94V9De38e3k5lxf3Z2B68LxwiIiIiDP8vuLPWvs9f1+zL/3l7e1YLN+YNtTpKCIiIhIEAv/+2wCyp76NZ0rKufLEAfQPouFwERERcY7KVi/85e3tGIxGtURERKTHVLZ6aHdtG8+W7OHqyQPJTQmuhbQiIiLiHJWtHrr/rW24Igw3nznE6SgiIiISRFS2emDX/laeX7WXayYPIjs51uk4IiIiEkRUtnrg/je3EeUyfO3MQqejiIiISJBR2TqKHTUtvLh6L1+ZWkBWkka1REREpHdUto7ivje3ERvl4qbTNaolIiIivaeydQTbqpp5ac0+rj25gPTEGKfjiIiISBBS2TqCP725jfgoF3NO06iWiIiIHBuVrc+xubKJV9dWcP0pg+mXEO10HBEREQlSKluf408Lt5EUE8lXTxvsdBQREREJYipbn2HDvkbmb6jkf04dTGq8RrVERETk2KlsfYY/LdpGcmwk/3OqRrVERETk+Khsfcq6PY0s3FjFjacVkhIX5XQcERERCXIqW59yz6KtpMZHcd0pBU5HERERkRCgsnWYVbvreWtzNXNOLyQpVqNaIiIicvxUtg5zz6JtpCVEc+3UAqejiIiISIhQ2TqopLSOd7bWcNPphSTERDodR0REREKEytZB9yzaSkZiNF+eOsjpKCIiIhJCVLaAD3bWsnR7LV87Ywjx0RrVEhERkb4T9mXLWsvdC7eSlRTDl6ZoVEtERET6VtiXraXba1m+q45vTBtKbJTL6TgiIiISYsK6bFlr+ePCLeSlxHLVSQOcjiMiIiIhKKzL1uItNaza3cAt04cRE6lRLREREel7YVu2Dq3VGpAWx+XF/Z2OIyIiIiHKr2XLGFNgjKkyxiw2xrzhz2t/2sKNVazb28g3pw8jyhW2nVNERER8zIl9DhZaa7/kwHU/5vUeGNUanJHApSfkOxlFREREQpwTQzrTjDHvGmO+48C1AXh9fSWbK5v59lnDiNSolkjYq25q59/Ly3h59V48Ho/TcY7K7fby4c5aFm+pprmj2+k4PbKxopE3N1VRXtvmdBQRv/N306gAhgPTgLONMeP8fH08XsufFm1laFYiF47P8/flRSQALS+to6api13729he0+p0nKOqaOxgX0MH9a3dbK1qcTrOUbndXrZUtNDU7mZ9RaPTcUT8zq9ly1rbaa1ttda6gVeAosOfN8bMMcaUGGNKampqfJLhlbX72Fbdwq1nD8MVYXxyDREJLoPSEgCIjjRkJcY6nOboUhOicB28gTorMcbZMD0QGRlBSnwUAJlBkFekr/l1zZYxJsla23zwzVOA+w9/3lo7F5gLUFxcbPv6+m6Plz8t2sbInCTOK8rt679eRILU2P6pDEyPJ9rlIi468LeBSYqNYuaYXNxeb9AcMXbm8AxauzwkxUY5HUXE7/w9jXiaMWaFMWYZsM9a+6E/L/7sij3s2t/KbTOGE6FRLRE5TEpcdFAUrUOiIyOCpmgBREREqGhJ2PLrd6q19jXgNX9e85D2Lg9/WrSVSYP6MWN0thMRREREJAyFza14jy4rpaqpkx/OHIkxGtUSERER/wiLstXY1s0Di7czfWQWJw1OczqOiIiIhJGwKFsPLNlBc6eb7587wukoIiIiEmZCvmxVNnbwj6W7uHhCPqNyk52OIyIiImEm5MvWvW9uw2stt80Y7nQUERERCUMhXbZ21LTwTEk510wexIC0eKfjiIiISBgK6bJ114ItxERGcMv0oU5HERERkTAVsmXro9I6Xl9fyZzTC8nQ8RAiIiLikJAsW16v5devbCQnOZY5pxc6HUdERETCWEiWrXlr9rJ2TyM/mDkiqI6zEBERkdATcmWrvcvDnfO3MK5/ChdPyHc6joiIiIS5kCtbD727k4rGDn52/mgdNi0iIiKOC6myVdXUwQOLdzCrKEfH8oiIiEhACKmy9YcFW/B4LT+aNdLpKCIiIiJACJWtFWX1/GfFHq4/tYBB6QlOxxEREREBQqRsebyWn89bT05yLN+aPszpOCIiIiIfC4my9eSHZWzY18TPLhhFQoy2ehAREZHAEfRlq7alkz8s2MIpQ9M5f2yu03FEREREPiHoy9bv52+mvdvDry4qwhht9SAiIiKBJajL1oqyep4p2cP/nDqYoVmJTscRERER+S9BW7a63F5+/Pxa8lK0KF5EREQCV9CuJn9g8Q62VrXwyHXFWhQvIiIiASsoR7a2VTXz57e3cdH4PKaPzHY6joiIiMjnCrqy5fFafvjcWhJjIvnFhaOdjiMiIiJyREFXth5/v5SVuxv4+YWjSU+McTqOiIiIyBEFVdlq63Jzz6JtnD48k4sn5DsdR0REROSogmpleXx0JE/fNIWk2CjtqSUiIiJBwZGRLWPMbcaY947lY0fmJJOfGtfXkURERER8wu9lyxgTA4z393VFREJJR7eH1k630zFEpAecGNn6KvCYA9cVEQkJHd0etle3sLOmldqWTqfjiMhR+LVsGWOigDOstW99zvNzjDElxpiSmpoaf0YTEQkanW4v1v7/xyIS2Pw9svVl4MnPe9JaO9daW2ytLc7MzPRjLBGR4JESF0VWcgz9EqLIStIWOCKBzt9lawRwszFmPjDGGPNNP19fRCQkZCfH0r9fPJGuoNrBRyQs+XXrB2vtDw89Nsa8Z62935/XFxEREfE3x34lstae6tS1RURERPzF2EOrLANMRkaGLSgocDqGiISY0tJS9NoiIn1txYoV1lr7mYNYAbuDfEFBASUlJU7HEJEQU1xcrNcWEelzxpiVn/ecz6YRjTF5xpiVxpgOY0zkwffdY4x51xhzr6+uKyIiIhJIfLlmqw44C/gAwBgzEUiw1p4GRBtjTvThtUVEREQCgs/KlrW2w1pbf9i7pgKLDj5eBEzx1bVFpG94vV7e21bDK2v2UV7f5nScHqlu7mDjvib2NbQ7HUVEBPDv3YipQNPBx41APz9eW0SOQUObm5rmLro9lp3VLU7H6ZHali48XkttSxeBegOQiIQXf5atBiD54OPkg29/go7rEQksybGRpMRHYQwMTIt3Ok6P9IuPBiA1PgpjjMNpRET8ezfi+8BNwDPA2cCjn/4PrLVzgbkAxcXF+pVUxGGRkRFMH5nldIxeyUmJJScl1ukYIiIf8+XdiFHGmEXAeGABEAV0GGPeBbzW2uW+uraIiIhIoPDZyJa1tpsDI1iH+9BX1xMREQlnTR3dbKtqpnR/GzUtnXS5vUS5IkhPiGZQejyj85JJio1yOmZYCthNTUVEROTItlc38+KqfbyzrYb1exvxHmEBjjEwYUAq54zO4QsT88lK1nS7v6hsiYiIBBGP1/L6+goeencXa8obiDAwaVA/bpk+jAkDUihITyAnJZaYSBedbg+1LV1sr25hdXkDb22u5vfzN3P3wi1cMC6PW88exqD0BKf/SSFPZUtERCQIWGt5ac0+7l64lbLaNgozE/jfC0Zz4fhcspI+e5QqPjqS+LRIBqTFM21kFt+ZMZxd+1t5bFkpT39Uzitr93Ht1AJuO2c48dGqBL6iz6yIiEiAW7W7nttf2ciq3Q2MyUvmb1+axDmjs4mI6P32JoMzEvjlRWP4+plDuHvhVv6+dBcLN1Vx9xXjmTQozQfpxZ/7bImIiEgvtHW5+eVLG7jkr8vYW9/OXZeP5+VbTmVmUc4xFa3DZSXH8rsvjOPfN07B47Vc8eAHPP5+qTYD9gGNbImIiASgj0rr+N6zayirbeO6kwv43rkjSIzp+x/bUwrTee3bp3HrU6v533kb2FTZzO0XjSHSpfGYvqKyJSIiEkC8Xstf3t7OPYu2kt8vjn/fOIWpQ9J9es3k2Cge+koxf1iwhb8t2UFjezd/unICUSpcfUJlS0REJEDUtXbxnadXs2RrDbMn5HHHJWNJ8MFo1mdxRRh+NGsk6QnR/Pa1TXS5vfzl6olER6pwHS+VLRERkQCwdk8DX3t8BftbuvjNxUVcM3mgI+d73nh6ITFREfx83gZ++Nxa/nj5+ONeHxbuVLZEREQctnBjFd/69yrSEqJ57uaTGds/xdE8X5laQHOHmz8s2EJWUgw/Pm+Uo3mCncqWiIiIg/75fim/fGkDY/NTePjaE8lMinE6EgBfP3MIVU0dPPjOTgalJ3D15IFORwpaKlsiIiIO8Hot//f6Jh56dxdnj8rmvi9OCKiNRY0x/OLCMZTVtvGLl9YzMjeJiQP7OR0rKGnVm4iIiJ91dHu45d8reejdXVw7dRAPfnlSQBWtQ1wRhvuuOoHclDhufmIF1c0dTkcKSipbIiIiflTX2sXVD33A6+sr+dn5o/jlRWNwBfAC9JT4KB788iQa27v53rNrtenpMVDZEhER8ZPS/a1c+telbNjXxF+vnshXTyt05I7D3hqVm8xPzx/NO1treGxZqdNxgo7KloiIiB+sKKvjkr8upbG9mydvnMKssblOR+qVL00eyLQRmfzf65vZWtXsdJygorIlIiLiY6+vq+CLD31ISlwUz3/9FCYNCr6F5sYY7rxsPIkxkXzn6dW4PV6nIwUNlS0REREfsdby8Ls7+fqTKynKS+b5r5/C4IwEp2Mds8ykGH59cREb9jXxj6WlTscJGipbIiIiPuDxWn750gZ+8+omZo7J4ckbp5CWEO10rOM2qyiHs0ZmcffCrZTXtTkdJyiobImIiPSxti43Nz2+gsfeL+PG0wbzl6snEhvlcjpWnzDGcPvFRRgD/ztvve5O7AGVLRERkT5U1dTBFQ++z1ubq/jVRWP46fmjQ+5swfzUOL57zggWb6lhwYYqp+MEPJUtERGRPrKpoomL/7KUnTWtPHxtMdeeXOB0JJ+5duoghmcncsdrm+h0e5yOE9BUtkRERPrA21uqueyBZVgLz35tKtNHZjsdyaciXRH87wWj2V3XxqNaLH9EKlsiIiLHwVrLY8tKueHRjyjISODFb5zCmLwUp2P5xWnDMjlrZBb3v7WdmuZOp+MELJUtERGRY9TR7eF7z67lFy9tYPrILJ65aSo5KbFOx/Krn5w/io5uD39atNXpKAFLZUtEROQY7Klv47K/LeO5lXu49exhzP1yMQkxgXeYtK8NyUzkiycN5OmPytldq60gPovKloiISC8t3lLNhfe/R1ltG3+/tphbzx4ecncc9sYt04fiijAa3focfi1bxphIY8xTxpi3jTF3+vPaIiIix6uj28PtL2/kun98RFZSLC/dcipnjQrthfA9kZ0cy3UnF/DC6r06N/Ez+Htk6xJgjbV2GhBnjBnv5+uLOK68to3yIBpq/3Dnfp5YtouW1i6no/RIY3sXJbtqqW3RYl3pW9uqmrnkr8t4ZOkurju5gHm3BPfRO33ta2cMISE6krvf0OjWp/l7crkQWHvw8WpgKrDGzxlEHLOrpoXV5Y0fvz0gPd7BNEdXWtPCvW9ux1rYUdvCLy4c63Sko3pp9T7qW7tZubuBOWcMcTqOhIAut5e57+zgvre2kxQTySPXFYf8tg7Hol9CNDecOph739zG+r2NFOWHxx2ZPeHvka0twBkHH08DPnHsuTFmjjGmxBhTUlNT4+doIr7n8f7/Yy26vF4Hk/RMt8dy6CSOYNmz8NDn2G29eDxBEloC1qrd9Vx4/3vc9cZWZozK5vVbT1PROoIbThtMUmwkf1283ekoAcXfI1svA2cZY94ESoFP7PFvrZ0LzAUoLi7WYUsScgozEzhUsYZkJjqapSeG5SRx3ckD2VrdwuWT8pyO0yPnjc1hU0UzhZkJuFyhcRad+N++hnbuemMLL6zaS05yLA9/pZizR6tkHU1ybBTXTi3gL4u3s726haFZgf865w9+LVvWWg/wTQBjzFzgDX9eX8RpERERDM9OcjpGr5xblMe5TofohazkOLKS45yOIUGqsa2bue/u4OF3d2GBOacXcsu0oSTFRjkdLWhcf0oBD7+3k78t2cFdl2tpNvi5bBlj8oF/AV7gn9baPf68voiIyGepburg4fd28a8Pymjt8nDxhDy+d+4I+vcL7HWVgSg9MYarThzIEx+UcevZw/Q5xP8jW3uBM/15TRERkc9ireWj0nqeWr6bV9ZW4PZ6uWBcHjefOYRRuclOxwtqc04v5IkPynjonZ38anaR03EcF35b3YqISFjbXt3Mgg1VPLdyDztrWkmMieSKE/tz42mFDErXVg59IS81jktOyOfpknJuPXs4/RKinY7kKJUtEREJaW1dblaWNfDe9v28sbGSnTWtABQP6sfNlw3h/HG5xEfrx2Ff++pphTy7Yg9PLt/NN6YNdTqOo/TVJSIiIaPL7WVHTQubK5vYXNHMirJ61uxpoNtjcUUYphSmcd3JBZwzOifsDoz2txE5SZw6NIN/vl/KnNMLiXKF7wmBKlsiIhJ0rLXsa+xgS2UTmyqa2VJ54M+OmhbcB/dai3IZxuSlcMOphUwpTKO4II3EMDwo2kk3nDqY6x/9iNfWVTB7Qr7TcRyjrzoREQloHd0etlY1s3FfExsrmthU0cTmymaaO9wf/zf5qXGMzEnirFFZjMhJYlRuMoMzEsJ6NCUQnDE8k8LMBP7+3i4uGp+HMeF5WLfKloiIBJQ99W18VFrH8l11rCirZ3t1C4cOX0iMiWREThKzJ+QxIieZkTlJDM9OIiVO+2AFoogIw/WnDOZ/X1zPirJ6igvSnI7kCJUtERFxVLfHy4c761i0qYpFm6rYU98OQHJsJJMG9WPmmBxG5yUzKjeZAf3iiYgIz9GRYPWFifnctWALf39vl8qWiIiIv1hrWV3ewLMr9vDKmn00dbiJjYrg1KGZ3HhaIScNTmNEdpKKVQiIj47kqhMH8PB7u6hq6iA7OfxuTFDZEhERv+l0e3hh5V4eWbqLrVUtxEZFcF5RLrPG5nLq0AzionWeZSj64kkDefCdnTz9UTnfOmuY03H8TmVLRER8rr3Lw6PLSnlk6S5qmjsZk5fM7y4dy/njcnXuYBgoyEjgtGEZPHVwzy1XmI1YqmyJiIjPeLyW/6wo5+6FW6lq6uS0YRn86coJnDwkPWzvTAtX10weyNeeWMniLdWcNSrb6Th+pbIlIiI+sXJ3PT95fh2bK5s5YWAqf756IieG6QJpgbNGZZOZFMO/PtytsiUiInI8Wjvd3PXGFh5dVkpOcix/vWYis4pyNJIV5qJcEVx14gD+/PZ29tS30b9fvNOR/Ea7vYmISJ9ZXd7AzHvf4dFlpXx5yiAW3nYG543NVdESAK46aSAGeGp5udNR/EplS0REjpvXa3nonZ1c9sAyvF545qap3D67SMfjyCfkp8YxbUQWT5eU0+3xOh3Hb1S2RETkuLR0upnz+Ap++9omzh6VzWvfOk1rs+RzXXXSQGqaO1mypcbpKH6jXzlEROSY7alv46uPlbCtuoVfXDia604u0JShHNGZIzLJSIzm2RXlnD06PBbKq2yJiMgxWbm7njn/LKHT7eWx60/i1GEZTkeSIBDliuDiCfk8uqyU2pZO0hNjnI7kc5pGFBGRXluytYarH/qAhJhIXvj6KSpa0iuXFffH7bXMW73P6Sh+obIlIiK9Mn99BV997CMGZyTy3M0nMzQr0elIEmRG5iQzNj+F/6zY43QUv1DZEhGRHnt+5R6+/q+VjM1P4akbp5ARBlNA4huXF/dnY0UTG/Y1Oh3F51S2RESkR+at3st3n13D1CHpPH7DZFLidaahHLuLxucR7YoIi9EtlS0RETmqBRsque2ZNUwenMbfrz2RBO2fJccpNT6aGaOzmbd6H13u0N5zS2VLRESOaMnWGr755CrG9U/h4WtPJDbK5XQkCRGXTepPXWsXi7dUOx3Fp1S2RETkc63aXc9Nj5cwNCuRR687STvCS586dVgG6QnRzFsT2nclqmyJiMhn2l17YMPSrKRY/nnDSVqjJX0uyhXB+eNyWbSxiuaObqfj+Ixfy5YxJt4Y86oxZrExZp4xRrexiIgEoIa2Lq57dDlur+Uf15+ouw7FZ2ZPyKfT7WXBhiqno/iMv0e2ZgIfWmvPBJYffFtERAJIp9vDTY+vYE9dO3O/PIkhmdpHS3xn4sBUBqTFMW/1Xqej+Iy/J993AJMOPk4Fav18fQkxb2+p4qVV+xiQFsc3pw0hKiqwpzlqWzp5de0+jDFcMDaPfonRTkc6IrfbzWPv76aqqYOZRTlMHBT4hwvvb+mkprmTfvHR5KTEOh0n6Fhr+dkL6/lwVx33XjWByYXpTkeSEGeMYfb4fP66eDvVzR1kJYXe962/R7a2AZONMRuAYmCZn68vIWbJlhrau71srWqlrL7d6ThHtamiiYY2N/Wt3WyubHI6zlGV1XWws6aV1k4Py7YHx+9GNc2duD2WmuZOrLVOxwk6T3xQxrMr9vCt6UOZPSHf6TgSJmZPyMNr4dW1FU5H8Ql/l61rgQXW2jHAq8CXDn/SGDPHGFNijCmpqanxczQJRhP6pwCQlRTDoH5xDqc5usEZiURGQnSkYXBmgtNxjio/OZa0g6NvRfkpDqfpmdSDi7hT4qIwxjicJrisKKvjVy9vZPrILG49e7jTcSSMDMtOYnRuMi+G6FmJ/p5GNEDdwcf7gU+8eltr5wJzAYqLi/UrqRzVxRMHcP7YnICfPjwkv18cN51WCIDLFfh7FcXGRvLdc0bgdruJjAyOW/5zU+LIToolIkJFqzeqmzr42hMr6d8vjnuunKDPn/jd7Al5/N/rmynd30pBRuD/Mtob/h7ZehK4whizGLgG+Jefry8hKFiK1iEulysoitbhgqVoHaKi0Dtdbi83/2slrZ1uHvxyMSlxwfU9JaHhwvF5GAPzQnB0y69ly1rbYK0911p7prV2hrW27ugfJSIivnTn/M2sKKvnzsvGMSInyek4EqbyUuM4sSCNV9aqbImISAh5e0s1D7+3i69MHcQF4/KcjiNh7vyxuWyrbmFrVbPTUfqUypaISJiqburge8+sYWROEj85b5TTcUSYVZSDMaF3V6LKlohIGPJ4Lbc+vZq2Lg9/vvoEHS4tASErOZYTC9J4bZ3KloiIBLm/LdnBsh21/PKi0QzN0jotCRyHphK3hdBUosqWiEiYWbW7nrsXbuWCcblcUTzA6Tgin/DxVGIIjW6pbImIhJH2Lg/ffWYNOcmx3HHpWG38KgEnFKcSVbZERMLI7+dvZuf+Vv5w2TiSY7WflgSm88fmsrUqdKYSVbZERMLEsh37eXRZKdedXMDJQzOcjiPyuUJtKlFlS0QkDDR3dPP9Z9cyOCOBH84c6XQckSMKtalElS0RkTDw21c3UdHYzl2XjyMuWts8SOA7NJW4vTr4pxJVtkREQtzbm6t56qNy5pw+hEmD0pyOI9Ij/3+D00qnoxw3lS0RkRDW0unmJy+sY1hWIt+ZMczpOCI9lpUcy4mD0nh9ffBPJapsiYiEsD/M30xlUwe/v2wcMZGaPpTgcs6YbDZXNrO7ts3pKMdFZUtEJEStKKvnnx+U8ZUpg5g4sJ/TcUR67dwxOQC8sTG4pxJVtkREQlCX28uPn19LTnIs39fdhxKkBqTFMyo3mQUbwqBsGWP+a+c7Y4w2aRERCVAPLtnB1qoWfnNxEYkxkU7HETlm547JpqSsnprmTqejHLMjli1jzDRjzB5gnzHmDWNMwWFPv+HLYCIicmy2V7dw/1vbuWBcLmeNynY6jshxOWd0DtbCm5uqnI5yzI42snUncK61NhOYCyw0xkw5+JwO1BIRCTBer+Unz68jLtrFLy4c43QckeM2KjeJAWlxQT2VeLSyFW2t3QBgrf0PcDHwmDHmEsD6OpyIiPTOcyv3sLy0jp+eN4rMpBin44gcN2MM547OYen2Wpo7up2Oc0yOVra6jTE5h944WLzOAn4BaMMWEZEA0tjWze9e38ykQf24bFJ/p+OI9Jlzi3Lo8nhZsrXG6SjH5Ghl60fAJyb8rbV7gDOA3/kqlIiI9N5db2yhvq2LX88uIiJCKz0kdEwc2I/0hGgWbAjOdVtHLFvW2kXW2jXGmG9/6v2NT9NYiQAAHJ5JREFUQItPk8n/a+/Oo+O8yjyPf5/SalmyZFmb13i3ZDu7Y7I53p1As4Q0+zSEpsMyk0CThplu+kzPOfTM6YFhgKEhNIQQoCFAH5YcliRk8xoHhzi7k9iObXmNLcm2NksqSVX1zB+SQTiytVbdKun3OUfHUpXe9/3Jlq8e3ffWc0VEBu2lo8386KlDfOia2SyeNil0HJFRlRUx1i+uZNPuejpj8dBxhmywfbZu7eexD49iDhERGaZEwvmnX+1iysQ87ly/MHQckaS4cUkVZzpj/H7/qdBRhuyCzVfM7P3AB4A5ZvbrPk8VAZn31YqIjEE/e+YIzx9p4ivvuZTiCW9oiygyJlwzbwoTc7N4+OU6Vi2qCB1nSAbqdPckcBwoA77c5/FW4MVkhRIRkcFpbOviCw/t5qrZk3nn5dNDxxFJmvycLFZVV/DoK3X8r5uXkpVB6xIvWGy5+yHgEHBNauKIiMhQfOmRPbREY/zPm5diljk/fESG48YlVTzw4nGeP9LIlReVho4zaIPdrudqM3vazM6YWZeZxc2sJdnhRETk/HYda+YnfzjMh6+dTXWVFsXL2LdyYTnZEeOxV+tDRxmSwS6Q/wbwfuA1YAJwG/D1oV7MzG4ys829b8fN7OahnkNERMDd+fxvXqa0IJe/Xae2hzI+FE/IYfmc0ozbumewxRbuvg/Icve4u38PWD3Ui7n779x9lbuvAg4Djw31HJJcrdFu9jecIdoVCx1lUKLRGFv31nPwZOZ0Imnu6KYlg7ognz7TRW3DGWKxROgo0seDL53g6YONfGbDIibla1G8jB9rayrZW3eGI6fbQ0cZtMEWW+1mlgs8b2b/x8zuBCYO96JmNheoc/fM+Qk5DiQSCbbsaeDFI83sqD0dOs6g/GTnYR7eVce922tpaouGjjOgpvYuDp9q59DJdprb07/gau+KsW1fA88faeb5o02h40ivaHecf3nwVaqrinjvVTNDxxFJqXU1Pa9EfCyDZrcGW2x9sPdz7wDagJnALSO47i3A/ec+aGYfM7OdZrazoSEzW/JnskQC4t6z5WUsnhmzGJ29OeNxyITJuFjiT1uKnv27TmfxhJPo/Vbo0sxW2vjuE7Uca+rgf7xtcUa9IktkNFw0ZSLzKwp5PIPWbQ222LrZ3aPu3uLun3f3vwPeOoLrvg349bkPuvvd7r7M3ZeVl5eP4PQyHNnZEa6eO4W55QVcNTszXuXxritncOVFJbzjimlUFOeHjjOgKRNzqSzOo6o4n8kF6X/rpyg/h2VzJjOvYiKXzSoJHUeAupYod23ax41LKrl2XlnoOCJBrK2pYMeBUxmzJCPlHeR7N7bucnc1RU1DlZPyuXTmZIoLckNHGZSywnxuuXImy2dPCR1lUMyMiqJ8yovyMuZl+jMnF3DJjBIKcgdqyyep8KWH9xCLO//4lprQUUSCWVdTSSzhbM2QjamH20F+EsPvIP8O4FfDPFZEZNx68WgTP3/mKB9fOZeLpgx72axIxrti1mQmF+Tw+Kv1vPWSaaHjDCjlHeTd/dvDOU5EZDxzd/75N69QVpjLHavnh44jElRWxFhdXcHG3fXE4gmyswbdXCGIC6Zz90PuvhlYB2xz9y30FF8zgMy4ByIiMgY88NJxdh5q5LMbFlGkVg8irKuppKm9m2cPp/8rpQdbCm4F8s1sOvA48NfA95MVSkRE/qQzFueLv9tNdVUR716mVg8iACsWlJGTZRnR4HSwxZa5ezs9LRu+7u7vBBYnL5aIiJx1347DHDndwefeUqNWDyK9ivJzuHruFB4dS8WWmV0D/Cfggd7H9NIkEZEka4l28/WNr3Hd/CncsECtHkT6WltdwYGGNmpPtoWOckGDLbY+DXwOuN/dX+7tAL8pebFERATgW5v309jezefeXJMx7UJEUmVtTSVA2t9KHFSx5e5b3P3t7v7F3o8PuPunkhtNRGR8O97cwXefqOXmy6axdHpx6DgiaWdmaQGLKovSfuuegfpsvaHLe1/u/vbRjSMiImd95ZG9uMNnNiwKHUUkba2tqeDbWw/Q3N5NcZruzDHQuqtrgCPAT4CnULsHEZGU2H2ihV88e5SPXDeHmaUFoeOIpK11iyv55ub9bN5bzzsumx46Tr8Guo1YBfwjsBT4GrAeONl7W3FLssOJiIxXX3xoN4V52dyxRg1MRS7kshkllBXm8lgab0w9UFPTuLv/zt1vBa4G9gGbzeyTKUknIjIOPbnvJJv2NHD76vmUZMg+pSKhRCLGqkUVbNnT000+HQ24QN7M8szsFuBHwO3AvwK/THYwEZHxKJFw/vdDu5leMoFbr50dOo5IRlhTXUFLNJa23eQHWiD/A3puIT4EfN7dd6UklYjIOPXAS8d56VgzX373peTnZIWOI5IRrl9QRnbE2Li7nuVzSkPHeYOBZrY+CCwE/hZ40sxaet9azawl+fFERMaPWDzBVx/dy6LKIm6+PD0X+oqko0n5OVw1u5RNu9Nz3dZAa7Yi7l7U+zapz1uRu09KVUgRkfHgl88e48DJNj6zYaG25REZojXVFeypa+VYU0foKG8w2A7yIiKSRJ2xOP/vsb1cOrOE9YsrQ8cRyTirqysA2JiGs1sqtkRE0sCPnzrM681R/uuGRdqWR2QY5pVPZFZpQVreSlSxJSISWHtXjLs27eOauVO4bv6U0HFEMpKZsaa6gif3nyTaHQ8d58+o2BIRCex72w9y8kwXn71Rs1oiI7G6uoJod4Lf7z8VOsqfUbElIhJQc0c3396yn7XVFVx50eTQcUQy2pvmlDIhJyvt1m2p2BIRCeg7Ww/QEo1ps2mRUZCfk8V188vYuLsedw8d549UbImIBNLQ2sm922t526XTWDxN3XRERsPq6nKONXXwWv2Z0FH+SMWWiEgg39y8j85YgjvXLQgdRWTMWL0o/VpAqNgSEQngWFMH9+04zLuumMHc8sLQcUTGjGklE6iuKlKxJSIy3t21aR8An9KslsioW1NdwTOHGmlu7w4dBVCxJSKSckcb2/nZziO8b/lMppdMCB1HZMxZU11BPOFs29cQOgqgYktEJOXu2rQfw/jPq+aFjiIyJl0+azIlBTlpcysx5cWWmX3IzB43s81mpm3tRWRc6TurNbVYs1oiyZAVMVYuLGfLngYSifAtIFJabPUWVyvdfa27r3L3Y6m8vohIaHdt2kfENKslkmxrqis41dbFC0ebQkchO8XXuxHIMrPHgVeAT7t7em1gNIq6Ygmeqj1FZ3ecZbNLKSnIDR1pQC8ebeJYUwcLK4uYlwGvkHr20GkeebmOqSV53Hrt3NBxBnQmGuMPB08DcPXcUgpyU/1fcGjcnaONHbR3xZlWkk9Rfk7oSBntyOl2frbzKB940yzNaokk2cqF5UQMNu2u5/JZYXdnSPVtxEog193XAu3AO1J8/ZSqa45ysrWL1mic/Q1toeMMqCuWYH99G9GuBHvrWkPHGZQn9p2kNRpj74k2jpxOnwZ253O4sY3m9m6a27s5fKo9dJwBRbsTNLV30xVL0NDaGTpOxvvm5p5Zrf+yan7oKCJjXklBLlfMmszGPeHXbaW62GoGtvS+vxGo6fukmX3MzHaa2c6GhvR4BcFITJ6YS152BDOoKs4LHWdAudkRyop6Zt+mFecHTjM41VN7um6XFuZSXpD+mauKJpCVBVlZUJUBf8d52RHyc3qGieIJmtUaibOzWu9fPjMj/u1FxoLV1RXsOtZCfUs0aI5U38N4Evho7/uXAbV9n3T3u4G7AZYtWxZ+RdsIFeZnc9PSShIJyM7OjBd+rlhQTlcsQW6G5N2wuIpr55ZRmJ/et+POKi3M5S1LphKJQCSS/n/HkYixoLKIeMLJiljoOBntT2u1NKslkiprqiv40sN72LSnnvdeNStYjpSO9u7+PNBhZpuBq4Cfp/L6IUQikYwptM7KlELrrEwptM7Kzo5kRKHVlwqtkTlyup2fP6NZLZFUq64qYmpxfvAWECn/KeXun031NUVEQrpr0z4iEc1qiaSambG6uoJfPXeMzlicvOysIDky69drEZEMc3ZW6wPLZ2lWSySA1YsqaOuK83RtY7AMKrZERJLoGxt7ZrU+sVJ9tURCuG7+FHKzI0FvJarYEhFJkqON7fzi2aO87yqt1RIJpSA3m6vnTmFTwBYQKrZERJLk7q0HMIOPa1ZLJKg1i8qpPdlG7ckwPS9VbImIJEF9S5SfPn2EWy6fwfQSdYsXCWlNdSVAsFuJKrZERJLgnidqicUT2gNRJA3MmlLAvPKJbFKxJSIyNjS2dfGjHYd46yXTmF02MXQcEaGnwelTtac40xlL+bVVbImIjLLvPXmQ9q44t69WXy2RdLG6uoLuuLN938mUX1vFlojIKGqNdvP97bVsWFzJoqqi0HFEpNdVs0spyssOcitRxZaIyCj64Y5DtERj3LFGs1oi6SQnK8KKhWVs2lOPe2q3X1axJSIySjq64nx3Wy0rFpRxyYyS0HFE5ByrF1VQ19LJy6+3pPS6KrZEREbJT58+zKm2Lj65ZkHoKCLSj1WLKjBLfQsIFVsiIqOgMxbn21sOsHx2KcvnlIaOIyL9KC/K49IZJTz+al1Kr6tiS0RkFPzy2WOcaIlyu9ZqiaS1tdUVvHC0mfrWaMquqWJLRGSEYvEE/7Z5PxdPL+aGBWWh44jIBayt6ekmv3l3Q8quqWJLRGSEfvvicQ6fbueONfMxs9BxROQCaqYWMbU4n8d3p+5WoootEZERcHe+tWU/CyoKWd/7G7OIpC8zY011BdteO0lnLJ6Sa6rYEhEZgc17G9h9opWPr5xHJKJZLZFMsLamgvauODsOnE7J9VRsiYiMwLc272dqcT5vv3Ra6CgiMkjXzisjPyfCxhS9KlHFlojIMD13uJGnak/zN9fPITdbw6lIpsjPyeL6+WU8vjs13eQ1OoiIDNO3txxgUn4271s+K3QUERmiNdWVHG3s4LX6M0m/lootEZFh2N9whodfOcEHr7mIwrzs0HFEZIjWVFcA8Pirye8mr2JLRGQY7tl2gJysCB++dk7oKCIyDFXF+SyZNikl3eRVbImIDFF9S5RfPHOMd185g/KivNBxRGSY1lZX8OzhRk63dSX1Oiq2RESG6N7tB4klEnx0xdzQUURkBNbWVJJw2LI3ubcSVWyJiAxBa7Sb+3Yc4s1LpzK7bGLoOCIyAhdPL6asMC/p67ZUbImIDMGPnzpMa2eMT6ycFzqKiIxQJGKsqS5ny94GuuOJ5F0naWfuh5nNNrM6M9tsZo+k8toiIiPVGYtz7/Zarps/hYtnFIeOIyKjYE11Ja3RGE8fTF43+RAzW4+6+yp33zCcg5s7umnvio12pqQ5eSbKkcb20DEGrb45ypP7GjgTzYy/40TCaWrvItqdmv2tZHz71XOvU9fSycdv0KyWyFixYkEZuVkRNibxVmKIYmu1mW0zszuHemB9S5TDp9o50NBGR1f6/3A9eSbKtr2n2FnbyCvHm0PHGVAsFuPurft54MUTfH97beg4g3KsqYMjpzvYV3+GWBKngEUSCedbW/ezZNokViwoCx1HREbJxLxsrp43hY27x06xdRxYCKwG1pnZJX2fNLOPmdlOM9vZ0NDwhoNjiZ6W+u4QT0F7/ZHqjP3ph393LP0LgVgMuhI9OaMp2gl9pPp+TyTS/1tCMthjr9ZxoKGNj6+ch5k2nBYZS9ZWV3DgZBsHGpLTTT6lxZa7d7p7m7vHgN8CS895/m53X+buy8rLy99wfOWkfMqKcplWkp8RHZunlxSwZPok5lVMpGZq+q/vyM/P5i8vn8ElM4p515UzQscZlOklE5hSmMus0gLtTSdJdc+2WqaXTOAtS6tCRxGRUXa2m3yyZrdSvUC+qM+H1wH7h3J8VsSYWjyBKYWZ00RwYWURl8woyZhC4NJZk3nv8lnMLisMHWVQcrMjTCuZQHFBTugoMoa9cKSJPxw8zUeun0N2Vmb8XxaRwZtZWsDCysKktYBI9aixwsyeMbMngdfd/akUX19EZMjueaKWorxs3rMsM2Z8RWTo1lRX8vTB0zR3dI/6uVN9G/FBd7/S3a919/+WymuLiAzHsaYOHnzpOO9/0yyK8jWDKjJWra2pIJZwtu5945rxkdJ8uIjIBZx9Ze6t184OG0REkuqKWZMpnZjLo6+M/sbUKrZERM6jNdrNT/9whL+4eCrTSyaEjiMiSZQVMdbVVLBpdz1do9xBQMWWiMh5/MfTR2jtjHHbijmho4hICqxfXEVrZ4ynak+N6nlVbImI9CMWT/C97QdZPqeUS2aUhI4jIimwYkEZE3KyeOTl0b2VqGJLRKQfD+06wbGmDj66Ym7oKCKSIvk5WaxYUMajr9Tho9g8XcWWiMg53J17th1gTtlE1vY2OxSR8WHDkipOtER56djobbOnYktE5Bw7DzXywtFmPnL9HCIRbc0jMp6sra4gYozqrUQVWyIi5/jO1gOUFOTwrivUxFRkvJk8MZerZpeOagsIFVsiIn0cPNnGo6/W8VdvuogJuVmh44hIABuWVLGnrpVDp9pG5XwqtkRE+rh3ey05kQgfuuai0FFEJJANiysBRm12S8WWiEivpvYufrbzKG+/bBoVk/JDxxGRQGaWFlBdVTRq67ZUbImI9LrvqcN0dMf5m+vVxFRkvNuwpIqdh05z6kzniM+lYktEBOiKJfjBkwdZsaCMmqmTQscRkcA2LK4k4fD47voRn0vFlogI8JsXXqe+tZPb1MRURIAl0yYxrTh/VG4lqtgSkXHP3fnOtgMsrCzkhgVloeOISBowMzYsqeKJfQ10dMVHdC4VWyIy7nXGEqxcWM7tq+djpiamItJj/eJKot0Jtr7WMKLzZI9SHhGRjJWfk8Xn3lITOoaIpJnlc0qZlJ/NIy/XceOSqmGfRzNbIiIiIv3IyYqwrqaSx16tozueGPZ5VGyJiIiInMdNS6to7uhmx4FTwz6Hii0RERGR87hhYTkFuVk8tOvEsM+hYktERETkPPJzsli9qIJHXq4jnvBhnUPFloiIiMgF3LS0ipNnOnnmUOOwjlexJSIiInIBq6sryM2O8NCu48M6XsWWiIiIyAUU5mVzw4JyHt51Aveh30pUsSUiIiIygDcvreL15igvHG0e8rEqtkREREQGsK6mkpULy4c1sxWkg7yZ/R1wi7tfH+L6IiIiIkNRXJDDDz6yfFjHpnxmy8zygEtTfV0RERGREELcRrwN+EGA66ZcV1ecnz9zhB/+/iAnmjtCxxmUupYoe+taaWzrCh1lTOqOJ9jfcIYDDWdGtPWDiIhkjpQWW2aWA6x0942pvG4o+xrO8HpjlMa2bp4/MvQFdakWTzj1LZ10dieoa42GjjMmNbZ30d4Zp60zTlN7d+g4IiKSAqme2fog8OPzPWlmHzOznWa2s6GhIYWxkmNq8QRysw0zmDVlQug4A8qKGBPzsgCYlJ8TOM3YVJiXjRlEIj3vi4jI2Jfq0X4RcJmZfQJYYmafdPevn33S3e8G7gZYtmzZ8Hrip5HJhbl85No5xIEJuVmh4wzK3PJCYvEE2Vl6oWoyFORmUzN1EgZEIhY6joiIpEBKiy13//uz75vZE30LrbEqN0OKrL5UaCVXloosEZFxJdhPVbV9EBERkfFAUxgiIiIiSWTD6YSaCmbWABw6z9NlwMkUxhkp5U2+TMusvMl3vsxXAM8O8Zh0pbzJl2mZlTf5zpf5Incv7++AtC22LsTMdrr7stA5Bkt5ky/TMitv8g0nc6Z9ncqbfJmWWXmTbziZdRtRREREJIlUbImIiIgkUaYWW3eHDjBEypt8mZZZeZNvOJkz7etU3uTLtMzKm3xDzpyRa7ZEREREMkWmzmyJiIiIZAQVWyIiIiJJlJE74ZrZ7e5+V+gcAzGzpcBSYL+7Px06T3/MbKq7HzczA94B1AC1wM/dPRY2Xf/M7O3AY+7eHjrLYJhZDnATcMrdnzSzvwKKgfvcvSlsuv6Z2cXANcBkoA54xN1fD5sq+TS2jB6NLcmnsSVzpP2aLTPbBpwNeXZTuSXALne/IUyq8zOz37n7TWb2aWAt8ABwHXDM3f8hbLo3MrON7r7GzL4GdAAbgcuAZe7+nrDp+mdmr9PT8LYOuB/4tbs3hk11fmZ2P/A0UAJcCTxIT0O8D7j7jSGz9cfMvgBMAF4AVgNRIA486e7/HjLbhZjZlcDV9AziTcAOd995gc/X2JJEGluST2NLagx1bOlPJsxs3Q9cAnzf3TcDmNlD7v7moKnOL7f3z3cCq909AXzLzJ4ImOlCEr1/LnH3db3vP2Jmm0IFGoQ97r7azOYAtwD3m1kn8Ct3/2bgbP0pcfd/ATCzXe7+5d73Pxw01fld5e5re9+/18wedff1ZvYYkJYDopl9FcgDHgN2A5OAvzazD7n7p85zmMaW5NLYknwaW5JsmGPLG6R9seXuXzGzXOA2M/sE8OPQmQaw2Mz+HZhHzz9QR+/j+eEiXdAPzOwe4IiZ/QjYQs8PoCFV7SG4ey3wZeDLZlZJz62KdNRmZv+dnu+H42b2GeA00Bk21nnVm9nfAy8CK4FXeh/PChdpQFf2Mxt1v5ltPd8BGluSTmNL8mlsSb4hjy39SfvbiH2ZWTbwQWBROk6bA5jZRX0+fN3du82sEFjh7g+FynUhZjYNuBGoBJrpmdJ9IWyq8zOzG9394dA5BsvMJtCzrmI/8BpwKz23rX7s7s0hs/XHzLLomT2ZC+wBfuPuCTOblq5rK8zsK0ABPb99ttDz2+daoNPdPz2I4zW2JIHGluTS2JJ8Ix1b/nieTCq2RETOx8wup2fhbQk96yp+D2Sn6wJyEckMozG2qNgSkYxnZv21sTHgd+6+PtV5RGRsGK2xJe3XbImIDMIZYMc5jxk9a4RERIZrVMYWFVsiMha8Crzz3HUqZvZooDwiMjaMytii24gikvHMbCo9jR27znk8O10baIpI+hutsUXFloiIiEgSaW9EERERkSRSsSUiIiKSRCq2JO2YmZvZD/t8nG1mDWb22wscM9vMPjCIcw/q80RkbEjleGJm683sGTN7qffPNSP/CmQsULEl6agNWNrbHRlgPXBsgGNmA4Mpogb7eSIyNqRyPDkJvM3dL6anm/sP+ztIxh8VW5KuHgL+ovf99wM/OfuEma00s+d7354zsyLgC8CK3sfu7P2Nc5uZPdv7dm3v4X/2eSn9ikQklJSMJ+7+XJ9tZ14G8s0sL0Vfo6QxFVuSrn4KvM/M8ulpHvdUn+c+C9zu7pcBK+jZkPcfgG3ufpm7fxWoB9a7+xXAe4F/7T323M8TkbEvxHjyl8Bz7p6um0JLCqmpqaQld3/RzGbT81vog+c8vR34ipndB/zS3Y+a2bmnyAG+YWaXAXFgYXITi0i6SvV4YmZLgC8CG0aeXsYCzWxJOvs18H/pM+UP4O5fAG4DJgA7zKy6n2PvBOqAS4FlQG5yo4pImkvJeGJmM4D7gQ+5+/7RiS6ZTjNbks7uBZrd/SUzW3X2QTOb5+4vAS+Z2TVANXAEKOpzbDFw1N0TZnYrkNX7eOs5nyci40PSxxMzKwEeAD7n7tuT+tVIRtHMlqQtdz/q7l/r56lPm9kuM3uBnvUVDwEvAjEze6F34fs3gVvNbAc9U/5tvcee+3kiMg6kaDy5A5gP/FOfRfcVyf7aJP1pux4RERGRJNLMloiIiEgSqdgSERERSSIVWyIiIiJJpGJLREREJIlUbImIiIgkkYotERERkSRSsSUiIiKSRCq2RERERJLo/wMcHszJyLhRJQAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from pandas.plotting import scatter_matrix\n", "scatter_matrix(df[['Mstat','Mstat2']], alpha = 0.2, figsize=(10, 8), diagonal = 'kde')" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([[,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ],\n", " [,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ],\n", " [,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ],\n", " [,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ],\n", " [,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " ,\n", " 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\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "sns.pairplot(df, diag_kind='kde', plot_kws={'alpha': 0.2}) #парные графики или матрица диаграмм рассеяния" ] } ], "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": "3.7.5" } }, "nbformat": 4, "nbformat_minor": 2 }