1203 lines
581 KiB
Plaintext
1203 lines
581 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
|
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"execution_count": 11,
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"id": "1fcd3280-58a8-473a-909e-31c511b4aefc",
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"metadata": {
|
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"scrolled": true
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"4.0\n"
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]
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}
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],
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"source": [
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"print(12/3)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 13,
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||
"id": "b270dd9b-b620-476b-bab4-29c1ef523d06",
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||
"metadata": {},
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||
"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Привет!\n"
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]
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}
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],
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"source": [
|
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"print(\"Привет!\")"
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]
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||
},
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||
{
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||
"cell_type": "markdown",
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||
"id": "c0ca7183-6e90-4199-9088-461ab070bb9a",
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"metadata": {},
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"source": [
|
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"#Пример 1"
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]
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},
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{
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"attachments": {},
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||
"cell_type": "markdown",
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||
"id": "777351bd-98d9-423a-a51a-6c4754f60626",
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||
"metadata": {},
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||
"source": [
|
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"**Привет**"
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||
]
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||
},
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||
{
|
||
"cell_type": "markdown",
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||
"id": "d8bfabbb-d45f-41e0-a8dc-ff68ba33518b",
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||
"metadata": {},
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||
"source": [
|
||
"**3 задание**"
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||
]
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||
},
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||
{
|
||
"cell_type": "code",
|
||
"execution_count": 17,
|
||
"id": "3de94e2a-3041-41e5-b37d-eda768316392",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
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||
"text": [
|
||
"Первый взгляд на данные:\n",
|
||
" Имя Отчество Возраст Оценка\n",
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||
"0 Ольга Викторовна 170 5\n",
|
||
"1 Виктор Сергеевич 186 4\n",
|
||
"2 Алексей Владимирович 150 3\n",
|
||
"3 Мария Викторовна 164 4\n",
|
||
"Информация:\n",
|
||
"<class 'pandas.core.frame.DataFrame'>\n",
|
||
"RangeIndex: 4 entries, 0 to 3\n",
|
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"Data columns (total 3 columns):\n",
|
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" # Column Non-Null Count Dtype \n",
|
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"--- ------ -------------- ----- \n",
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" 0 Имя Отчество 4 non-null object\n",
|
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" 1 Возраст 4 non-null int64 \n",
|
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" 2 Оценка 4 non-null int64 \n",
|
||
"dtypes: int64(2), object(1)\n",
|
||
"memory usage: 228.0+ bytes\n",
|
||
"None\n",
|
||
"Статистика:\n",
|
||
" Возраст Оценка\n",
|
||
"count 4.000000 4.000000\n",
|
||
"mean 167.500000 4.000000\n",
|
||
"std 14.910846 0.816497\n",
|
||
"min 150.000000 3.000000\n",
|
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"25% 160.500000 3.750000\n",
|
||
"50% 167.000000 4.000000\n",
|
||
"75% 174.000000 4.250000\n",
|
||
"max 186.000000 5.000000\n",
|
||
"Проверка пропущенных значений:\n",
|
||
"Имя Отчество 0\n",
|
||
"Возраст 0\n",
|
||
"Оценка 0\n",
|
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"dtype: int64\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"#таблица\n",
|
||
"data = {\n",
|
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" \"Имя Отчество\": [\"Ольга Викторовна\", \"Виктор Сергеевич\", \"Алексей Владимирович\", \"Мария Викторовна\"],\n",
|
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" \"Возраст\": [170, 186, 150, 164],\n",
|
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" \"Оценка\": [5, 4, 3, 4]\n",
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"}\n",
|
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"df = pd.DataFrame(data)\n",
|
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"#Вывод данных\n",
|
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"print(\"Первый взгляд на данные:\")\n",
|
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"print(df.head())\n",
|
||
"#Информация\n",
|
||
"print(\"Информация:\")\n",
|
||
"print(df.info())\n",
|
||
"#Статистика\n",
|
||
"print(\"Статистика:\")\n",
|
||
"print(df.describe())\n",
|
||
"#Проверка на пропуски\n",
|
||
"print(\"Проверка пропущенных значений:\")\n",
|
||
"print(df.isnull().sum())"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "5ee32f0a-98fc-4de6-8eba-af3cc1c3f30b",
|
||
"metadata": {},
|
||
"source": [
|
||
"**Поместить df в последнюю строчку блока.**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 19,
|
||
"id": "cb42b8b6-f737-4903-8b6c-f249148227ca",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Первый взгляд на данные:\n",
|
||
" Имя Отчество Возраст Оценка\n",
|
||
"0 Ольга Викторовна 170 5\n",
|
||
"1 Виктор Сергеевич 186 4\n",
|
||
"2 Алексей Владимирович 150 3\n",
|
||
"3 Мария Викторовна 164 4\n",
|
||
"Информация:\n",
|
||
"<class 'pandas.core.frame.DataFrame'>\n",
|
||
"RangeIndex: 4 entries, 0 to 3\n",
|
||
"Data columns (total 3 columns):\n",
|
||
" # Column Non-Null Count Dtype \n",
|
||
"--- ------ -------------- ----- \n",
|
||
" 0 Имя Отчество 4 non-null object\n",
|
||
" 1 Возраст 4 non-null int64 \n",
|
||
" 2 Оценка 4 non-null int64 \n",
|
||
"dtypes: int64(2), object(1)\n",
|
||
"memory usage: 228.0+ bytes\n",
|
||
"None\n",
|
||
"Статистика:\n",
|
||
" Возраст Оценка\n",
|
||
"count 4.000000 4.000000\n",
|
||
"mean 167.500000 4.000000\n",
|
||
"std 14.910846 0.816497\n",
|
||
"min 150.000000 3.000000\n",
|
||
"25% 160.500000 3.750000\n",
|
||
"50% 167.000000 4.000000\n",
|
||
"75% 174.000000 4.250000\n",
|
||
"max 186.000000 5.000000\n",
|
||
"Проверка пропущенных значений:\n",
|
||
"Имя Отчество 0\n",
|
||
"Возраст 0\n",
|
||
"Оценка 0\n",
|
||
"dtype: int64\n",
|
||
"\n",
|
||
"DataFrame с новым столбиком\n",
|
||
" Имя Отчество Возраст Оценка Новый столбец\n",
|
||
"0 Ольга Викторовна 170 5 6.5\n",
|
||
"1 Виктор Сергеевич 186 4 5.2\n",
|
||
"2 Алексей Владимирович 150 3 3.9\n",
|
||
"3 Мария Викторовна 164 4 5.2\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"#таблица\n",
|
||
"data = {\n",
|
||
" \"Имя Отчество\": [\"Ольга Викторовна\", \"Виктор Сергеевич\", \"Алексей Владимирович\", \"Мария Викторовна\"],\n",
|
||
" \"Возраст\": [170, 186, 150, 164],\n",
|
||
" \"Оценка\": [5, 4, 3, 4]\n",
|
||
"}\n",
|
||
"df = pd.DataFrame(data)\n",
|
||
"#Вывод данных\n",
|
||
"print(\"Первый взгляд на данные:\")\n",
|
||
"print(df.head())\n",
|
||
"#Информация\n",
|
||
"print(\"Информация:\")\n",
|
||
"print(df.info())\n",
|
||
"#Статистика\n",
|
||
"print(\"Статистика:\")\n",
|
||
"print(df.describe())\n",
|
||
"#Проверка на пропуски\n",
|
||
"print(\"Проверка пропущенных значений:\")\n",
|
||
"print(df.isnull().sum())\n",
|
||
"df[\"Новый столбец\"] = df[\"Оценка\"]*1.3\n",
|
||
"print(\"\\nDataFrame с новым столбиком\")\n",
|
||
"print(df)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "c2b036d1-0b2c-4431-adce-cadbda052b55",
|
||
"metadata": {},
|
||
"source": [
|
||
"**Применить .groupby() и .agg(), чтобы сгруппировать данные.**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 24,
|
||
"id": "b84f0bde-0ba9-45e2-a770-5b63bb2ca50c",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Первый взгляд на данные:\n",
|
||
" Имя Отчество Рост Оценка\n",
|
||
"0 Ольга Викторовна 170 5\n",
|
||
"1 Виктор Сергеевич 186 4\n",
|
||
"2 Алексей Владимирович 150 3\n",
|
||
"3 Мария Викторовна 164 4\n",
|
||
"Информация:\n",
|
||
"<class 'pandas.core.frame.DataFrame'>\n",
|
||
"RangeIndex: 4 entries, 0 to 3\n",
|
||
"Data columns (total 3 columns):\n",
|
||
" # Column Non-Null Count Dtype \n",
|
||
"--- ------ -------------- ----- \n",
|
||
" 0 Имя Отчество 4 non-null object\n",
|
||
" 1 Рост 4 non-null int64 \n",
|
||
" 2 Оценка 4 non-null int64 \n",
|
||
"dtypes: int64(2), object(1)\n",
|
||
"memory usage: 228.0+ bytes\n",
|
||
"None\n",
|
||
"Статистика:\n",
|
||
" Рост Оценка\n",
|
||
"count 4.000000 4.000000\n",
|
||
"mean 167.500000 4.000000\n",
|
||
"std 14.910846 0.816497\n",
|
||
"min 150.000000 3.000000\n",
|
||
"25% 160.500000 3.750000\n",
|
||
"50% 167.000000 4.000000\n",
|
||
"75% 174.000000 4.250000\n",
|
||
"max 186.000000 5.000000\n",
|
||
"Проверка пропущенных значений:\n",
|
||
"Имя Отчество 0\n",
|
||
"Рост 0\n",
|
||
"Оценка 0\n",
|
||
"dtype: int64\n",
|
||
"\n",
|
||
"DataFrame с новым столбиком\n",
|
||
" Имя Отчество Рост Оценка Новый столбец\n",
|
||
"0 Ольга Викторовна 170 5 6.5\n",
|
||
"1 Виктор Сергеевич 186 4 5.2\n",
|
||
"2 Алексей Владимирович 150 3 3.9\n",
|
||
"3 Мария Викторовна 164 4 5.2\n",
|
||
"Среднее значение оценок:\n",
|
||
" Оценка\n",
|
||
"Рост \n",
|
||
"150 3.0\n",
|
||
"164 4.0\n",
|
||
"170 5.0\n",
|
||
"186 4.0\n",
|
||
"\n",
|
||
"Оценка выше 3:\n",
|
||
" Имя Отчество Рост Оценка Новый столбец\n",
|
||
"0 Ольга Викторовна 170 5 6.5\n",
|
||
"1 Виктор Сергеевич 186 4 5.2\n",
|
||
"3 Мария Викторовна 164 4 5.2\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"#таблица\n",
|
||
"data = {\n",
|
||
" \"Имя Отчество\": [\"Ольга Викторовна\", \"Виктор Сергеевич\", \"Алексей Владимирович\", \"Мария Викторовна\"],\n",
|
||
" \"Рост\": [170, 186, 150, 164],\n",
|
||
" \"Оценка\": [5, 4, 3, 4]\n",
|
||
"}\n",
|
||
"df = pd.DataFrame(data)\n",
|
||
"#Вывод данных\n",
|
||
"print(\"Первый взгляд на данные:\")\n",
|
||
"print(df.head())\n",
|
||
"#Информация\n",
|
||
"print(\"Информация:\")\n",
|
||
"print(df.info())\n",
|
||
"#Статистика\n",
|
||
"print(\"Статистика:\")\n",
|
||
"print(df.describe())\n",
|
||
"#Проверка на пропуски\n",
|
||
"print(\"Проверка пропущенных значений:\")\n",
|
||
"print(df.isnull().sum())\n",
|
||
"df[\"Новый столбец\"] = df[\"Оценка\"]*1.3\n",
|
||
"print(\"\\nDataFrame с новым столбиком\")\n",
|
||
"print(df)\n",
|
||
"#Группировка\n",
|
||
"df_grouped = df.groupby(\"Рост\").agg({\"Оценка\": \"mean\"})\n",
|
||
"print(\"Среднее значение оценок:\")\n",
|
||
"print(df_grouped)\n",
|
||
"#Фильт\n",
|
||
"df_filtered = (df[df[\"Оценка\"] > 3])\n",
|
||
"print(\"\\nОценка выше 3:\")\n",
|
||
"print(df_filtered)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "44c4f639-7e78-4974-8478-a34cc6a92b63",
|
||
"metadata": {},
|
||
"source": [
|
||
"**numpy: массивы и вычисления**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
|
||
"id": "a5560300-7140-478c-aa64-b0e164a35ce6",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Сумма элементов массива: 19\n",
|
||
"Среднее значение: 3.8\n",
|
||
"Медиана: 3.0\n",
|
||
"Стандартное отклонение: 2.315167380558045\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"\n",
|
||
"arr = np.array([3, 3, 1, 8, 4])\n",
|
||
"print(\"Сумма элементов массива:\", np.sum(arr))\n",
|
||
"print(\"Среднее значение:\", np.mean(arr))\n",
|
||
"print(\"Медиана:\", np.median(arr))\n",
|
||
"print(\"Стандартное отклонение:\", np.std(arr))"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "183fe348-a753-4968-8dd8-2e2e4437c9c2",
|
||
"metadata": {},
|
||
"source": [
|
||
"**Создать двумерный массив (np.array([[1, 2], [3, 4]])).**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "6132529c-074e-4ee1-8bad-d370ad96e02b",
|
||
"metadata": {},
|
||
"source": [
|
||
"**Использовать np.linspace(), np.random.randn(), np.dot()**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 29,
|
||
"id": "bb3e08d0-2167-40d1-9196-f4e1299d575e",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"Двумерный массив:\n",
|
||
"[[5 3]\n",
|
||
" [7 9]]\n",
|
||
"\n",
|
||
"Генерация:\n",
|
||
"[1. 1.5 2. 2.5 3. ]\n",
|
||
"\n",
|
||
"Случайные значения:\n",
|
||
"[[ 0.10716751 -1.38816918 -0.09248588]\n",
|
||
" [-0.02464871 -0.54882764 2.0555727 ]\n",
|
||
" [-1.08668217 -0.89628383 -1.14241962]]\n",
|
||
"\n",
|
||
"Произведение:\n",
|
||
"[[15 6]\n",
|
||
" [87 30]]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"arr2 = (np.array([[5, 3], [7, 9]]))\n",
|
||
"print(\"\\nДвумерный массив:\")\n",
|
||
"print(arr2)\n",
|
||
"#Генерация чисел\n",
|
||
"linspace_arr = np.linspace(1,3,5)\n",
|
||
"print(\"\\nГенерация:\")\n",
|
||
"print(linspace_arr)\n",
|
||
"r_arr = np.random.randn(3,3)\n",
|
||
"print(\"\\nСлучайные значения:\")\n",
|
||
"print(r_arr)\n",
|
||
"#Операции над матрицами\n",
|
||
"A = np.array([[2, 1], [6, 9]])\n",
|
||
"B = np.array([[4, 2], [7, 2]])\n",
|
||
"dot_a = np.dot(A,B)\n",
|
||
"print(\"\\nПроизведение:\")\n",
|
||
"print(dot_a)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "33f14ea4-8fe7-4022-97ab-00e8fee3f55e",
|
||
"metadata": {},
|
||
"source": [
|
||
"**matplotlib: построение графиков**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"id": "fa916fac-c955-4b03-bb3d-6530713bdd8f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"x = np.linspace(0, 10, 100)\n",
|
||
"y = np.cos(x)\n",
|
||
"\n",
|
||
"plt.plot(x, y, label='cos(x)')\n",
|
||
"plt.xlabel(\"график X\")\n",
|
||
"plt.ylabel(\" график Y\")\n",
|
||
"plt.title(\"График косинуса\")\n",
|
||
"plt.legend()\n",
|
||
"plt.grid()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "460e23fe-0499-4b4c-9157-94261948c0e5",
|
||
"metadata": {},
|
||
"source": [
|
||
"**Изменить цвет (color='red').**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"id": "4c594c1e-a8e8-472b-9256-c24dfb13a9d8",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"x = np.linspace(0, 10, 100)\n",
|
||
"y = np.cos(x)\n",
|
||
"\n",
|
||
"plt.plot(x, y, label='cos(x)', color= \"yellow\")\n",
|
||
"plt.xlabel(\"график X\")\n",
|
||
"plt.ylabel(\" график Y\")\n",
|
||
"plt.title(\"График косинуса\")\n",
|
||
"plt.legend()\n",
|
||
"plt.grid()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e0afe5e9-d26b-488a-b4f5-6225a3a4a012",
|
||
"metadata": {},
|
||
"source": [
|
||
"**Добавить несколько графиков (plt.plot(x, np.cos(x), label='cos(x)')).**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 37,
|
||
"id": "47b209af-15c7-4842-b152-e9d046bff6d5",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import numpy as np\n",
|
||
"x = np.linspace(0, 10, 100)\n",
|
||
"y = np.cos(x)\n",
|
||
"y2 = np.sin(x)\n",
|
||
"plt.plot(x, y, label='cos(x)', color= \"yellow\")\n",
|
||
"plt.plot(x, y2, label='sin(x)', color= \"green\")\n",
|
||
"plt.xlabel(\"график X\")\n",
|
||
"plt.ylabel(\" график Y\")\n",
|
||
"plt.title(\"График косинуса\")\n",
|
||
"plt.legend()\n",
|
||
"plt.grid()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "028b2af4-736b-4b4d-adaa-90f541767015",
|
||
"metadata": {},
|
||
"source": [
|
||
"**Использовать bar, scatter, hist.**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 38,
|
||
"id": "06f086ec-8996-4627-810b-f9916ef77482",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import numpy as np\n",
|
||
"aa = np.random.randn(500)\n",
|
||
"plt.hist(aa, bins=50, color=\"blue\", alpha=0.6)\n",
|
||
"plt.xlabel(\"Знач\")\n",
|
||
"plt.ylabel(\"Частота\")\n",
|
||
"plt.title(\"Случайные числа\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 39,
|
||
"id": "0f3dc11c-7b86-40e5-a8b0-dbe2382f59e2",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"x = np.random.rand(20)\n",
|
||
"y = np.random.rand(20)\n",
|
||
"\n",
|
||
"plt.scatter(x, y, color=\"yellow\")\n",
|
||
"plt.xlabel(\"X\")\n",
|
||
"plt.ylabel(\"Y\")\n",
|
||
"plt.title(\"диаграмма\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 44,
|
||
"id": "22f909d8-89cb-4ddf-9bdf-98207a791dce",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 640x480 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import numpy as np\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"x = np.linspace(0, 100, 10)\n",
|
||
"y = np.cos(x) \n",
|
||
"plt.bar(x, y, width=0.40, color=\"green\", label=\"cos(x)\") \n",
|
||
"plt.xlabel(\"X\")\n",
|
||
"plt.ylabel(\"Значение\")\n",
|
||
"plt.title(\"диаграмма cos(x)\")\n",
|
||
"plt.legend()\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "71a026f5-e7cf-4178-8f53-e88a48d396be",
|
||
"metadata": {},
|
||
"source": [
|
||
"**seaborn: работа с графиками данных**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 59,
|
||
"id": "8098b0d5-4c18-4693-bd81-f4d2031030ba",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\egorz\\AppData\\Local\\Temp\\ipykernel_32292\\2001630606.py:14: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.boxplot(x=\"Рост\", y=\"Оценка\", data=df, palette=\"pastel\")\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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AAABgISQAAAAAsBASAAAAAFgICQAAAADcMyRMmTJFvLy8ZNiwYYWWuf32202Zi5fu3bs7y/Tv3z/f/q5du5bSWQAAAACez1fcwM6dO2XevHkSERFRZLmPPvpIzp4961w/ffq0tGjRQh544AGrnIaChQsXOtf9/PyuQq0BAACAssnlISErK0v69u0r8+fPl4kTJxZZtkqVKtb68uXL5brrrssXEjQUhISEXJX6AgAAAGWdy7sbDRkyxHQXioyMvOzXvv322xIdHS2BgYHW9s2bN0u1atWkYcOGMnjwYNPiUJScnBzJyMiwFgAAAOBa5dKWBG0J2LNnj+ludLl27NghBw4cMEHh4q5G9913n9SpU0eOHj0qo0ePlm7dukl8fLz4+PgUeKzJkydLXFzcFZ8HAAAAUJa4LCQcP35chg4dKhs3bhR/f//Lfr2Gg+bNm8stt9xibdeWBQfdr+Mc6tWrZ1oXOnfuXOCxYmNjZfjw4c51bUkIDw+/7DoBAAAAZYHLuhvt3r1bUlNTpVWrVuLr62uWLVu2yOzZs83v58+fL/S12dnZphViwIABl3yfunXryvXXXy9HjhwptIyOYQgKCrIWAAAA4FrlspYEvaufkJBgbXv00UelUaNGMmrUqEK7BqkVK1aYcQSPPPLIJd8nKSnJjEmoUaNGidQbAAAAKOtcFhIqVqwozZo1s7bpAOSqVas6t8fExEjNmjXNmIGLuxr16tXLlL14piQdW9C7d28zu5GOSRg5cqTUr19foqKiSuGsAAAAAM/n8ilQi5KYmCje3naPqEOHDsk333wjGzZsyFdeWx/2798vixcvlrS0NAkNDZUuXbrIhAkTeFYCAAAA4IkhQQcXF7WudFrT3NzcAl8fEBAg69evv2r1AwAAAK4FLn9OAgAAAAD3QkgAAAAAYCEkAAAAALAQEgAAAABYCAkAAAAALIQEAAAAABZCAgAAAAALIQEAAACAhZAAAAAAwEJIAAAAAGAhJAAAAACwEBIAAAAAWAgJAAAAACyEBAAAAAAWQgIAAAAACyEBAAAAgIWQAAAAAMBCSAAAAABgISQAAAAAsBASAAAAAFgICQAAAAAshAQAAAAAFkICAAAAAAshAQAAAICFkAAAAADAQkgAAAAAYCEkAAAAALAQEgAAAABYCAkAAAAALIQEAAAAABZCAgAAAAALIQEAAACAhZAAAAAAwD1DwpQpU8TLy0uGDRtWaJlFixaZMnkXf39/q0xubq6MGzdOatSoIQEBARIZGSmHDx8uhTMAAAAAyga3CAk7d+6UefPmSURExCXLBgUFSXJysnP5+eefrf1Tp06V2bNny9y5c2X79u0SGBgoUVFRcubMmat4BgAAAEDZ4fKQkJWVJX379pX58+dL5cqVL1leWw9CQkKcS/Xq1a1WhJkzZ8qYMWOkZ8+eJnQsWbJETp48KatXr77KZwIAAACUDb6ursCQIUOke/fuplvQxIkTixUqateuLRcuXJBWrVrJSy+9JE2bNjX7jh07JikpKeZYDsHBwdK2bVuJj4+X6OjoAo+Zk5NjFoeMjAxxJ7/88otkZ2e7uhpwc6mpqdZP4FK0pbU4N2cAANcel4aE5cuXy549e0x3o+Jo2LChvPPOO6aFID09XaZPny4dOnSQgwcPSlhYmAkIKm/rgmPdsa8gkydPlri4OHFHGhC0C9W5c+dcXRV4iKVLl7q6CvAQ5cqVk5EjRxIUAADuExKOHz8uQ4cOlY0bN+YbfFyY9u3bm8VBA0Ljxo3NeIYJEyZccV1iY2Nl+PDhVktCeHi4uANtQdCAUL/tPRIQVNXV1QFQRvyWcVqObF9jvmMICQAAtwkJu3fvNt0itMuQw/nz5+Wrr76S119/3XT/8fHxueRdsJtvvlmOHDli1nWMgjp16pSZ3chB11u2bFnocfz8/MzizjQgBFb+v/MDAAAAyuTA5c6dO0tCQoLs27fPubRp08YMYtbfLxUQHKFCj+EIBHXq1DFBYdOmTVargM5ylLcFAgAAAIAbtiRUrFhRmjVrlm8QXdWqVZ3bY2JipGbNmmbMgHrxxRelXbt2Ur9+fUlLS5Np06aZKVAff/xxs9/xnAUdAN2gQQMTGsaOHSuhoaHSq1cvF5wlAAAA4HlcPrtRURITE8Xb29saxDtw4EAzCFn70LZu3Vq2bt0qTZo0cZbRQXjax3bQoEEmSHTs2FHWrVtX7HEPAAAAwLXOK1cfLgCLdlHSqVN1BiV9eJsrJSUlmWc/NL+rH2MSAJSY7F9SJGHjYtP6qrPDAQDKvozLuMZ1+cPUAAAAALgXQgIAAAAACyEBAAAAgIWQAAAAAMBCSAAAAABgISQAAAAAsBASAAAAAFgICQAAAAAshAQAAAAAFkICAAAAAAshAQAAAICFkAAAAADAQkgAAAAAYCEkAAAAALAQEgAAAABYCAkAAAAALIQEAAAAABZCAgAAAAALIQEAAACAhZAAAAAAwEJIAAAAAGAhJAAAAACwEBIAAAAAWAgJAAAAACyEBAAAAAAWQgIAAAAACyEBAAAAgIWQAAAAAMBCSAAAAABgISQAAAAAsBASAAAAAFgICQAAAAAshAQAAAAA7hkSpkyZIl5eXjJs2LBCy8yfP19uu+02qVy5slkiIyNlx44dVpn+/fub4+RdunbtWgpnAAAAAJQNbhESdu7cKfPmzZOIiIgiy23evFn69OkjX375pcTHx0t4eLh06dJFTpw4YZXTUJCcnOxcli1bdpXPAAAAACg7fF1dgaysLOnbt69pJZg4cWKRZd977z1rfcGCBfLhhx/Kpk2bJCYmxrndz89PQkJCil2HnJwcszhkZGRc1jkAAAAAZYnLWxKGDBki3bt3N12HLtevv/4q586dkypVquRrcahWrZo0bNhQBg8eLKdPny7yOJMnT5bg4GDnoi0UAAAAwLXKpSFh+fLlsmfPHnORfiVGjRoloaGhVsDQrkZLliwxrQsvv/yybNmyRbp16ybnz58v9DixsbGSnp7uXI4fP35F9QEAAADKApd1N9IL8aFDh8rGjRvF39//igY6a8jQVoO8r4+Ojnb+3rx5czPOoV69eqZc586dCzyWdk/SBQAAAIALWxJ2794tqamp0qpVK/H19TWL3vWfPXu2+b2oO//Tp083IWHDhg2XHOxct25duf766+XIkSNX4SwAAACAssdlLQl6Vz8hIcHa9uijj0qjRo1MNyIfH58CXzd16lSZNGmSrF+/Xtq0aXPJ90lKSjJjEmrUqFFidQcAAADKMpeFhIoVK0qzZs2sbYGBgVK1alXndp2xqGbNms4xCzrGYNy4cbJ06VK58cYbJSUlxWyvUKGCWXSmpLi4OOndu7eZ3ejo0aMycuRIqV+/vkRFRbngLAEAAADP4/LZjYqSmJhonnPgMGfOHDl79qzcf//9pmXAsWj3I6WtD/v375d7771XbrrpJhkwYIC0bt1avv76a8YcAAAAAJ7ynIS8dHBxUes//fRTka8PCAgw3ZAAAAAAlNGWBAAAAAClj5AAAAAAwEJIAAAAAGAhJAAAAACwEBIAAAAAWAgJAAAAACyEBAAAAAAWQgIAAAAACyEBAAAAgIWQAAAAAMBCSAAAAABgISQAAAAAsBASAAAAAFgICQAAAAAshAQAAAAAFkICAAAAAAshAQAAAIDFV66At7e3eHl5Fbr//PnzV3JYAAAAAJ4aElatWlXyNQEAAADguSGhZ8+e1vpHH30k+/btk2bNmsmDDz5YUnUDAAAA4IljEl5++WXp06ePrFu3TgYMGCBxcXElUzMAAAAAnhkSFi9eLAsWLJAdO3bIxx9/LAsXLiyZmgEAAADwzJBw8uRJadeunfldf544caIk6gUAAADAU0OCzmTk6/t/Qxt8fHzkwoULJVEvAAAAAJ40cPnmm292ToH622+/SY8ePaR8+fKSm5tb0vUDAAAA4AkhoVevXoXOdJR3HwAAAIBrJCSMHz++5GsCAAAAwHNDQkZGRpH7g4KCrrQ+AAAAADwxJFSqVMk5JiEvHZOg23UwMwAAAIBrKCSolStXSpUqVUq2NgAAAAA8NyTceuutUq1atZKtDQAAAADPDQn/+te/5PTp0xIYGCghISFmClQAAAAA1/DD1Dp37ixNmzaVOnXqmKDQvHlzefXVV6+4IlOmTDHjGYYNG1ZkuRUrVkijRo3E39/fvOfatWvzjYsYN26c1KhRQwICAiQyMlIOHz58xfUCAAAArjVXFBKOHTsmR48elUOHDsmOHTvko48+Ms9HGDt2rEybNu2yj7dz506ZN2+eREREFFlu69at0qdPHxkwYIDs3bvXvKcuBw4ccJaZOnWqzJ49W+bOnSvbt283ASYqKkrOnDlzJacKAAAAXHOuKCTUrl1bbrzxRmnQoIG0bt3aPHF5woQJMmfOHHnrrbcu61hZWVnSt29fmT9/vlSuXLnIsrNmzZKuXbvK888/L40bNzbv2apVK3n99dedrQgzZ86UMWPGmIe8aehYsmSJnDx5UlavXn0lpwoAAABcc654TEJBoqOjTRekyzFkyBDp3r276RY0ceLEIsvGx8fL8OHDrW3aSuAIANrCkZKSYo7lEBwcLG3btjWv1foVJCcnxyzFfQ6EK/yWcdrVVQBQhvCdUrgTJ07IqVOnXF0Nt6Et8cnJya6uBjyMdvvWruH4j+rVq0vNmjXlmn2YWv369Yt9nOXLl8uePXtMd6Pi0ACgH3Beuq7bHfsd2worU5DJkydLXFycuLMj29e4ugoAcE34+OOP5ccff3R1NQCUMXXr1pWnnnpKPIXLHqZ2/PhxGTp0qGzcuNHlSTM2NtZqodAQFB4eLu6kftt7JCCoqqurAaAMtSRw86Fg2l2VloT/oCUBV4KWhPwuvont7lz2MLXdu3dLamqqGVPgoOHiq6++MmMMtPuPj4+P9RqdavXiL25d1+2O/Y5t+o8zb5mWLVsWWhc/Pz+zuDMNCIGV/+/8AABXj3YH8KQuAQBQph6mplOoJiQkWNseffRRM73pqFGj8gUE1b59e9m0aZM1Taq2ROh2pdOxalDQMo5QoK0COsvR4MGDr7iuAAAAwLXEZQ9Tq1ixojRr1szapseqWrWqc3tMTIy5m6NjBpR2T+rUqZPMmDHDDHbWMQ27du1yzqjkeM6CDoDWmZc0NOi0rKGhoWaqVAAAAABXMSRoS4BjDIK3t7dpAXjsscfk2WeflZKSmJhoju3QoUMHWbp0qZnidPTo0SYI6MxGecPGyJEjJTs7WwYNGiRpaWnSsWNHWbduHf3iAAAAgKsZEnSqUQ0I586dM9159DkE+lA1vWv/+++/m+cYXInNmzcXua4eeOABsxRGQ8uLL75oFgAAAAClFBL0YWp5OR6odtNNN5mL8ysNCQAAAABcz+UPUwMAAADgXv7T4b8ElCtXzprSFAAAAMA10pKgzzN49dVX5YMPPjCDi8+ePWvt//e//11S9QMAAADgCS0JcXFx8sorr8hDDz0k6enp5mnF9913n5mJ6IUXXij5WgIAAABw75Dw3nvvyfz582XEiBHi6+srffr0kQULFsi4ceNk27ZtJV9LAAAAAO4dElJSUqR58+bm9woVKpjWBHXPPffIZ599VrI1BAAAAOD+ISEsLEySk5PN7/Xq1ZMNGzaY33fu3Cl+fn4lW0MAAAAA7h8S/vKXv8imTZvM788884x5iJo+/TgmJsY8dRkAAADANTa70ZQpU5y/6+Blfbja1q1bTVDQh6oBAAAAuIafk6BdjD799FNJTU2V4ODgkqkVAAAAAM9oSahVq5bs3btXqlatatY3btwo3bt3N+MQdPrT6dOny7Jly+SBBx64WvUFAAAA4E4tCUlJSeZBag7Tpk0z05+mpaXJL7/8Ik888YRMnTr1atQTAAAAgCd0N/ruu+/MwGUfHx/TkqC/Hz58uORqBwAAAMCzQoK2IFSpUsW5XrlyZcnMzCyJegEAAADwhJDg5eVllou3AQAAALhGBy7n5uZK//79nQ9MO3PmjDz55JMSGBho1nNycq5OLQEAAAC4Z0jo16+ftf7II4/kK6MPVAMAAABwjYSEhQsXXr2aAAAAACgbD1MDAAAAULYQEgAAAABYCAkAAAAALIQEAAAAABZCAgAAAAALIQEAAACAhZAAAAAAwEJIAAAAAGAhJAAAAACwEBIAAAAAWAgJAAAAACyEBAAAAAAWQgIAAAAACyEBAAAAgPuEhDlz5khERIQEBQWZpX379vL5558XWv72228XLy+vfEv37t2dZfr3759vf9euXUvpjAAAAADP5+vKNw8LC5MpU6ZIgwYNJDc3VxYvXiw9e/aUvXv3StOmTfOV/+ijj+Ts2bPO9dOnT0uLFi3kgQcesMppKFi4cKFz3c/P7yqfCQAAAFB2uDQk9OjRw1qfNGmSaV3Ytm1bgSGhSpUq1vry5cvluuuuyxcSNBSEhIRcpVoDAAAAZZvbjEk4f/68uejPzs423Y6K4+2335bo6GgJDAy0tm/evFmqVasmDRs2lMGDB5sWh6Lk5ORIRkaGtQAAAADXKpe2JKiEhAQTCs6cOSMVKlSQVatWSZMmTS75uh07dsiBAwdMULi4q9F9990nderUkaNHj8ro0aOlW7duEh8fLz4+PgUea/LkyRIXF1di5wQAAAB4MpeHBL3bv2/fPklPT5eVK1dKv379ZMuWLZcMChoOmjdvLrfccou1XVsWHHS/DoyuV6+eaV3o3LlzgceKjY2V4cOHO9e1JSE8PPwPnxsAAADgiVze3ah8+fJSv359ad26tbmjrwORZ82aVeRrtEuSdk0aMGDAJY9ft25duf766+XIkSOFltExDI4ZlhwLAAAAcK1yeUi42IULF8wYgaKsWLHClHnkkUcuebykpCQzJqFGjRolWEsAAACg7HJpdyPt5qPjBWrVqiWZmZmydOlS0y1o/fr1Zn9MTIzUrFnTtDBc3NWoV69eUrVqVWt7VlaWGVvQu3dvM7uRjkkYOXKkaamIiooq1XMDAAAAPJVLQ0JqaqoJAsnJyRIcHGzGD2hAuOuuu8z+xMRE8fa2GzsOHTok33zzjWzYsCHf8XRg8v79+83zFtLS0iQ0NFS6dOkiEyZM4FkJAAAAgCeEhItnJrqYtioUNNBZH7xWkICAAGcrBAAAAIAyMiYBAAAAgGsREgAAAABYCAkAAAAALIQEAAAAABZCAgAAAAALIQEAAACAhZAAAAAAwEJIAAAAAGAhJAAAAACwEBIAAAAAWAgJAAAAACyEBAAAAAAWQgIAAAAACyEBAAAAgIWQAAAAAMBCSAAAAABgISQAAAAAsBASAAAAAFgICQAAAAAshAQAAAAAFkICAAAAAAshAQAAAICFkAAAAADAQkgAAAAAYCEkAAAAALAQEgAAAABYCAkAAAAALIQEAAAAABZCAgAAAAALIQEAAACAhZAAAAAAwEJIAAAAAGAhJAAAAABwn5AwZ84ciYiIkKCgILO0b99ePv/880LLL1q0SLy8vKzF39/fKpObmyvjxo2TGjVqSEBAgERGRsrhw4dL4WwAAACAssGlISEsLEymTJkiu3fvll27dsmdd94pPXv2lIMHDxb6Gg0TycnJzuXnn3+29k+dOlVmz54tc+fOle3bt0tgYKBERUXJmTNnSuGMAAAAAM/n68o379Gjh7U+adIk07qwbds2adq0aYGv0daDkJCQAvdpK8LMmTNlzJgxJmyoJUuWSPXq1WX16tUSHR19Fc4CAAAAKFtcGhLyOn/+vKxYsUKys7NNt6PCZGVlSe3ateXChQvSqlUreemll5yB4tixY5KSkmK6GDkEBwdL27ZtJT4+vtCQkJOTYxaHjIwMcTe/ZZx2dRUAlCF8pwAA3DokJCQkmFCg3YEqVKggq1atkiZNmhRYtmHDhvLOO++YcQzp6ekyffp06dChg+mepF2XNCAobTnIS9cd+woyefJkiYuLE3ek3aXKlSsnR7avcXVVAJQx+t2i3zEAAFzMK1f76LjQ2bNnJTEx0Vz0r1y5UhYsWCBbtmwpNCjkde7cOWncuLH06dNHJkyYIFu3bpVbb71VTp48aQYuOzz44IOmm9L7779f7JaE8PBwUycdA+Fqv/zyi2lhAYqSmpoqS5culYcffliqVavm6urAA2hAqFy5squrAQAoJXqNq71sinON6/KWhPLly0v9+vXN761bt5adO3fKrFmzZN68ecW6C3bzzTfLkSNHzLpjrMKpU6eskKDrLVu2LPQ4fn5+ZnFX+p84/5GjuDQgaMsaAABAmXlOgo41yHtX/1LjGLS7kiMQ1KlTxwSFTZs2WYlJZzkqapwDAAAAADdpSYiNjZVu3bpJrVq1JDMz03SV2Lx5s6xfv97sj4mJkZo1a5oxA+rFF1+Udu3amZaHtLQ0mTZtmpkC9fHHHzf7tUvRsGHDZOLEidKgQQMTGsaOHSuhoaHSq1cvV54qAAAA4DF8Xd2HWoOAPu9A+0fpgGQNCHfddZfZr2MVvL29rb75AwcONIOQtfuNdk/ScQh5xy+MHDnS9N8fNGiQCRIdO3aUdevW5XvoGgAAAAA3Hbjs6YM6AHeRlJRknhOirWmMSQAAAH/kGtftxiQAAAAAcC1CAgAAAAALIQEAAACAhZAAAAAAwEJIAAAAAGAhJAAAAACwEBIAAAAAWAgJAAAAACyEBAAAAAAWQgIAAAAACyEBAAAAgIWQAAAAAMBCSAAAAABgISQAAAAAsBASAAAAAFgICQAAAAAshAQAAAAAFkICAAAAAAshAQAAAICFkAAAAADAQkgAAAAAYCEkAAAAALAQEgAAAABYCAkAAAAALIQEAAAAABZCAgAAAAALIQEAAACAhZAAAAAAwEJIAAAAAGAhJAAAAACwEBIAAAAAWAgJAAAAACyEBAAAAADuExLmzJkjEREREhQUZJb27dvL559/Xmj5+fPny2233SaVK1c2S2RkpOzYscMq079/f/Hy8rKWrl27lsLZAAAAAGWDS0NCWFiYTJkyRXbv3i27du2SO++8U3r27CkHDx4ssPzmzZulT58+8uWXX0p8fLyEh4dLly5d5MSJE1Y5DQXJycnOZdmyZaV0RgAAAIDn83Xlm/fo0cNanzRpkmld2LZtmzRt2jRf+ffee89aX7BggXz44YeyadMmiYmJcW738/OTkJCQYtcjJyfHLA4ZGRmXeSYAAABA2eE2YxLOnz8vy5cvl+zsbNPtqDh+/fVXOXfunFSpUiVfi0O1atWkYcOGMnjwYDl9+nSRx5k8ebIEBwc7F22hAAAAAK5VLg8JCQkJUqFCBXP3/8knn5RVq1ZJkyZNivXaUaNGSWhoqBmbkLer0ZIlS0zrwssvvyxbtmyRbt26mRBSmNjYWElPT3cux48fL5FzAwAAADyRS7sbKb3bv2/fPnNxvnLlSunXr5+5sL9UUNCxDNryoK0G/v7+zu3R0dHO35s3b24GRterV8+U69y5c4HH0oCiCwAAAAA3aEkoX7681K9fX1q3bm26/bRo0UJmzZpV5GumT59uQsKGDRtMCChK3bp15frrr5cjR46UcM0BAACAssnlLQkXu3DhgjWI+GJTp041A5zXr18vbdq0ueTxkpKSzJiEGjVqlHBNAQAAgLLJpSFBxwLoeIFatWpJZmamLF261HQL0gCgdMaimjVrmhYGpWMMxo0bZ8rdeOONkpKSYrbrmAZdsrKyJC4uTnr37m1mNzp69KiMHDnStFRERUW58lQBAAAAj+HSkJCammqCgD7LQGcV0q5DGhDuuususz8xMVG8vf/TI0qnRz179qzcf//91nHGjx8vL7zwgvj4+Mj+/ftl8eLFkpaWZgY163MUJkyYwJgDAAAAwBNCwttvv13kfm1VyOunn34qsnxAQICzFQIAAACAhw5cBgAAAOBeCAkAAAAALIQEAAAAABZCAgAAAAALIQEAAACAhZAAAAAAwEJIAAAAAGAhJAAAAACwEBIAAAAAWAgJAAAAACyEBAAAAAAWQgIAAAAACyEBAAAAgIWQAAAAAMBCSAAAAABgISQAAAAAsBASAAAAAFgICQAAAAAshAQAAAAAFkICAAAAAAshAQAAAICFkAAAAADAQkgAAAAAYCEkAAAAALAQEgAAAABYCAkAAAAALIQEAAAAABZCAgAAAAALIQEAAACAhZAAAAAAwEJIAAAAAGAhJAAAAABwn5AwZ84ciYiIkKCgILO0b99ePv/88yJfs2LFCmnUqJH4+/tL8+bNZe3atdb+3NxcGTdunNSoUUMCAgIkMjJSDh8+fJXPBAAAACg7XBoSwsLCZMqUKbJ7927ZtWuX3HnnndKzZ085ePBggeW3bt0qffr0kQEDBsjevXulV69eZjlw4ICzzNSpU2X27Nkyd+5c2b59uwQGBkpUVJScOXOmFM8MAAAA8FxeuXrr3Y1UqVJFpk2bZoLAxR566CHJzs6WNWvWOLe1a9dOWrZsaUKBnkpoaKiMGDFCnnvuObM/PT1dqlevLosWLZLo6Ohi1SEjI0OCg4PNa7WFA/AESUlJMnPmTBk2bJgJ4AAAAFd6jesrbuL8+fOmK5GGAO12VJD4+HgZPny4tU1bCVavXm1+P3bsmKSkpJguRg76QbRt29a8trCQkJOTY5a8HyDc29mzZyU1NdXV1XArjs+Dz6Vg1apVk/Lly7u6GgAAeASXh4SEhAQTCrQ7UIUKFWTVqlXSpEmTAstqANBWgbx0Xbc79ju2FVamIJMnT5a4uLgSOBuUFr0Q1rvmyG/p0qWuroJbooUFAAAPCgkNGzaUffv2mWaPlStXSr9+/WTLli2FBoWrITY21mqh0JaE8PDwUnt/XNldYb3oAy7n3wwAAPCQkKDN//Xr1ze/t27dWnbu3CmzZs2SefPm5SsbEhIip06dsrbpum537Hds09mN8pbRcQuF8fPzMws8h/674a4wAADANfKchAsXLljjA/LSbkmbNm2ytm3cuNE5hqFOnTomKOQto60COstRYeMcAAAAALhRS4J28+nWrZvUqlVLMjMzTV/qzZs3y/r1683+mJgYqVmzphkzoIYOHSqdOnWSGTNmSPfu3WX58uVm6tS33nrL7Pfy8jJdUCZOnCgNGjQwoWHs2LFmxiOdKhUAAACAm4cEHXyqQSA5OdnMQqQPVtOAcNddd5n9iYmJ4u39n8aODh06mCAxZswYGT16tAkCOrNRs2bNnGVGjhxpZkgaNGiQpKWlSceOHWXdunXm4WsAAAAAPPA5Ce6A5yQAAADgWr7GdbsxCQAAAABci5AAAAAAwEJIAAAAAGAhJAAAAACwEBIAAAAAWAgJAAAAACyEBAAAAAAWQgIAAAAACyEBAAAAgIWQAAAAAMDia69C5ebmOh9dDQAAAJQFjmtbx7VuUQgJBcjMzDQ/w8PDXV0VAAAAoMSvdYODg4ss45VbnChxjblw4YKcPHlSKlasKF5eXq6uDlDsuwMabI8fPy5BQUGurg4AlGl858IT6WW/BoTQ0FDx9i561AEtCQXQDy0sLMzV1QCuiP5nxX9YAFA6+M6Fp7lUC4IDA5cBAAAAWAgJAAAAACyEBKCM8PPzk/Hjx5ufAICri+9clHUMXAYAAABgoSUBAAAAgIWQAAAAAMBCSAAAAABgISQAAAAAsBASADf31VdfSY8ePczTEfUJ4KtXr7b267aClmnTpjnL/Pvf/5a+ffuaB/5UqlRJBgwYIFlZWS44GwDw3O9b/d58+umnzQNXAwICpEmTJjJ37lyrzJkzZ2TIkCFStWpVqVChgvTu3VtOnTpVymcC/HGEBMDNZWdnS4sWLeSNN94ocH9ycrK1vPPOO+Y/N/2PyUEDwsGDB2Xjxo2yZs0a8x/hoEGDSvEsAMDzv2+HDx8u69atk3fffVe+++47GTZsmAkNn3zyibPMs88+K59++qmsWLFCtmzZIidPnpT77ruvFM8CKBlMgQp4EL34X7VqlfTq1avQMrovMzNTNm3aZNb1PzK927Vz505p06aN2ab/yd19992SlJRk7pgBAC79fdusWTN56KGHZOzYsc5trVu3lm7dusnEiRMlPT1dbrjhBlm6dKncf//9Zv/3338vjRs3lvj4eGnXrp1LzgW4ErQkAGWINml/9tlnpjuRg/7HpF2MHAFBRUZGire3t2zfvt1FNQUAz9OhQwfTanDixAnRe6xffvml/PDDD9KlSxezf/fu3XLu3DnzHevQqFEjqVWrlvkuBjyJr6srAKDkLF68WCpWrGg1baekpEi1atWscr6+vlKlShWzDwBQPK+99prpqqljEvR7VG+2zJ8/X/785z+b/fqdWr58eXNjJq/q1avzfQuPQ0gAyhAdj6DjD/z9/V1dFQAokyFh27ZtpjWhdu3aZnyXDlLWbpt5Ww+AsoCQAJQRX3/9tRw6dEjef/99a3tISIikpqZa237//Xcz45HuAwBc2m+//SajR4824xS6d+9utkVERMi+fftk+vTpJiTod+rZs2clLS3Nak3QrqB838LTMCYBKCPefvttM4BOZ+bIq3379uY/LO0r6/DFF1/IhQsXpG3bti6oKQB4Hh1roIt2McrLx8fHfJ8q/Q4uV66cc+IIpTdvEhMTzXcx4EloSQDcnM7LfeTIEef6sWPHzJ0rHVOgg+FURkaGmW5vxowZ+V6vs2p07dpVBg4caObz1v/kdMq+6OhoZjYCgMv4vu3UqZM8//zz5hkJ2t1IpzhdsmSJvPLKK6Z8cHCwmThCp0rV1+izaZ555hkTEJjZCJ6GKVABN7d582a544478m3v16+fLFq0yPz+1ltvmfm69TkJ+p/UxbRrkQYDnbtb74LpMxRmz55tHvQDACje960OPo6NjZUNGzaY71UNCjqQWZ+NoFOmOh6mNmLECFm2bJnk5ORIVFSUvPnmm3Q3gschJAAAAACwMCYBAAAAgIWQAAAAAMBCSAAAAABgISQAAAAAsBASAAAAAFgICQAAAAAshAQAAAAAFkICAAAAAAshAQAAAICFkAAALtS/f3/x8vLKtzz++OOurhoA4Brm6+oKAMC1rmvXrrJw4UJr23XXXeey+gAAQEsCALiYn5+fhISEWEtQUJDZt2jRIqlUqZKsXr1aGjRoIP7+/hIVFSXHjx83+3/66Sfx9vaWXbt2WcecOXOm1K5dWy5cuCCbN28usLVCFz2u4ziFldFjObzyyivSvHlzCQwMlPDwcHnqqackKyuryPNLS0uTJ554QqpXr27q36xZM1mzZk2R9dIlOzvbfA4rV660jqd11vfPzMwsskVm2LBh1us+/vhjadWqlalD3bp1JS4uTn7//Xfn/ryfh8Ptt9/uPI7+XlhdX3jhBVPml19+kZiYGKlcubIJet26dZPDhw87j6d/T8drfHx8JDQ0VEaNGmX+TgDgTggJAODmfv31V5k0aZIsWbJE/vnPf5qL7ujoaLPvxhtvlMjIyHwtEbquF84aIBwOHTokycnJzqUg//jHP6wyYWFh1n493uzZs+XgwYOyePFi+eKLL2TkyJGF1l0vfvVCWev97rvvyr/+9S+ZMmWKuUDu0KGD830+/PBDUz7ve2sQ0PMs6Nzuv/9+qVixYr4WGcdr27dvb+37+uuvzcX70KFDTR3mzZtnLtj1cy2ujz76yDr+iBEjnOvPPfecKaOfuQa2Tz75ROLj4yU3N1fuvvtuOXfunPM4Gnz0NYmJifLqq6/K1KlTZf369cWuBwCUBrobAYCb0wvM119/Xdq2bWvW9eK8cePGsmPHDrnlllvM+IUnn3zS3OXXVok9e/ZIQkKCuXOeV7Vq1UyrRFGqVq1qWjIc9GI+r7x35zWgTJw40bz3m2++WWjo0Hp+9913ctNNN5ltehffwfFeVapUsdYd9NwcYaJGjRqSmpoqa9euNcfNKycnRypUqOB8ffny5a392mrwt7/9Tfr16+esw4QJE0zAGT9+vBSHo46O4+d9P6UtBhoONBBpndV7771nWly0heKBBx4w27QVwfG6OnXqmOAVHBxcrDoAQGmhJQEA3Jyvr6/86U9/cq43atTIXOzrhbfq1auXuZhftWqVWdc75HfccYe5iC9penHeuXNnqVmzprmT/9e//lVOnz5tWjsKsm/fPtMa4QgIl0tDUNOmTU0wUtoaod2o/vznP1vltA6OLloF+fbbb+XFF180F/aOZeDAgSZ85K17nz59rDLaAlFc+vfQv5UjzDlCV8OGDZ1/K5Wenm6OHRAQIO3atTPdjRyhAgDcBSEBADyc3tXWrjTaDefs2bOydOlSeeyxx0r8fXTcwj333CMRERGme9Du3bvljTfeMPv0fQuiF8J/lLYmaPBReo6PPvqouRuf148//mjuyhdGx01oa4KGFseirS1691/HKDho95+8Zdq0aSMlTcOVHnv//v2mC9PcuXOd3a0AwF3Q3QgA3JwOrtV+7npX3TG2QMclaJejvBfSOiBYu/1o+fvuu6/E66GhQMcYzJgxwznW4YMPPijyNRookpKS5Icffrji1oRHHnnEdAvSsRA6nsDRZchBj68h4bbbbiv0GDpgWT+3+vXrF/le2g0ob5nLCTn699DPfvv27c6WAW3h0Pdt0qSJs5x+do730MHo2jqirUC9e/cu9nsBwNVGSAAAN1euXDl55plnzEWydmd5+umnTTcVR2hwXKA6uq5oK0JJ3MG/mF7Y6viI1157TXr06GH63utd8KJ06tTJdA3SC2AdM6HH+P77701LgA40Lg6dKUhDz/PPPy9dunSxBlPrbEJ6ztoFSUNISkqKs2VDuxFpC4J27Rk3bpxpBalVq5YZ9KwX6toF6cCBA2ZcRUnQC/6ePXuabkw6MFpbDHQchHbN0u0OOphZ66k/9bPYsmWLGVANAO6E7kYA4OZ0Kk29EH744Yfl1ltvNRe977//fr5yAwYMMBfHV6OrkWrRooW50H/55ZdNq4UOyp08efIlX6ddaXRMhfb31zvq2ipw/vz5y3rvws7t2WefNd2rtCuUTieqg5t10ZmF5s+fL9OnTzfldNpYnXZ1w4YNpi4aqLRrkYaLkqTdoVq3bm0Cic6ApEFAB1pr0HPIyMgwddTwoH9THdCsAQgA3IlXrn6DAQDckvbF1xmFtHvRpehsPStWrDB93cuav//97yYQnDx50pq5SKcc1ecX6M+L6fMd9HNzPMMAAFB8dDcCAA+nXWr0TrpOk1pSXWfchXYZ0hmI9NkK+kC2i6c21alDC+tapc9ZyPuwNABA8dGSAAAe3pKgd9GXLVtmpkLVrjcXP9vAk2krgD7wTMc16HMftKsVAODqIyQAAAAAsDBwGQAAAICFkAAAAADAQkgAAAAAYCEkAAAAALAQEgAAAABYCAkAAAAALIQEAAAAABZCAgAAAADJ6/8BPjk928wRXXQAAAAASUVORK5CYII=",
|
||
"text/plain": [
|
||
"<Figure size 900x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"# Формирование DataFrame \n",
|
||
"df = pd.DataFrame({\n",
|
||
" \"Имя\": [\"Ольга\", \"Олег\", \"Ваня\", \"Настя\"],\n",
|
||
" \"Возраст\": [15, 22, 45, 77],\n",
|
||
" \"Оценка\": [5, 4, 3, 4],\n",
|
||
" \"Рост\": [\"170\", \"180\", \"170\", \"180\"]\n",
|
||
"})\n",
|
||
"\n",
|
||
"plt.figure(figsize=(9, 5))\n",
|
||
"sns.boxplot(x=\"Рост\", y=\"Оценка\", data=df, palette=\"pastel\")\n",
|
||
"plt.title(\" Оценки по росту\")\n",
|
||
"plt.xlabel(\"Группа студентов\")\n",
|
||
"plt.ylabel(\"Баллы\")\n",
|
||
"plt.show()\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 60,
|
||
"id": "d4b28b6e-9244-462b-b9e4-fc2c32dc70c1",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\egorz\\AppData\\Local\\Temp\\ipykernel_32292\\349206127.py:14: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.boxplot(x=\"Рост\", y=\"Оценка\", data=df, palette=\"pastel\")\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 900x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 900x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 900x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"# Формирование DataFrame \n",
|
||
"df = pd.DataFrame({\n",
|
||
" \"Имя\": [\"Ольга\", \"Олег\", \"Ваня\", \"Настя\"],\n",
|
||
" \"Возраст\": [15, 22, 45, 77],\n",
|
||
" \"Оценка\": [5, 4, 3, 4],\n",
|
||
" \"Рост\": [\"170\", \"180\", \"170\", \"180\"]\n",
|
||
"})\n",
|
||
"\n",
|
||
"plt.figure(figsize=(9, 5))\n",
|
||
"sns.boxplot(x=\"Рост\", y=\"Оценка\", data=df, palette=\"pastel\")\n",
|
||
"plt.title(\"Оценки по росту\")\n",
|
||
"plt.xlabel(\"студенты\")\n",
|
||
"plt.ylabel(\"Баллы\")\n",
|
||
"plt.show()\n",
|
||
"plt.figure(figsize=(9, 5))\n",
|
||
"sns.histplot(df[\"Оценка\"], bins=4, kde=True, color=\"yellow\")\n",
|
||
"plt.title(\"Распределение оценок\")\n",
|
||
"plt.xlabel(\"Рост\")\n",
|
||
"plt.ylabel(\"Частота\")\n",
|
||
"plt.show()\n",
|
||
"plt.figure(figsize=(9, 5))\n",
|
||
"sns.scatterplot(x=\"Возраст\", y=\"Оценка\", hue=\"Рост\", data=df, s=120, color=\"green\")\n",
|
||
"plt.title(\"Зависимость возраста от оценки\")\n",
|
||
"plt.xlabel(\"Возраст (лет)\")\n",
|
||
"plt.ylabel(\"Оценка\")\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e9b90b72-9de7-4ecb-8e0c-3cc35be50c0f",
|
||
"metadata": {},
|
||
"source": [
|
||
"**Добавить sns.pairplot(df), sns.heatmap(df.corr(), annot=True).**\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 61,
|
||
"id": "2e7c79a3-9d4c-4d36-86b7-5d64359d07d6",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\egorz\\AppData\\Local\\Temp\\ipykernel_32292\\1733612210.py:14: FutureWarning: \n",
|
||
"\n",
|
||
"Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
|
||
"\n",
|
||
" sns.boxplot(x=\"Рост\", y=\"Оценка\", data=df, palette=\"pastel\")\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 900x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 900x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 900x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 900x500 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"# Формирование DataFrame \n",
|
||
"df = pd.DataFrame({\n",
|
||
" \"Имя\": [\"Ольга\", \"Олег\", \"Ваня\", \"Настя\"],\n",
|
||
" \"Возраст\": [15, 22, 45, 77],\n",
|
||
" \"Оценка\": [5, 4, 3, 4],\n",
|
||
" \"Рост\": [\"170\", \"180\", \"170\", \"180\"]\n",
|
||
"})\n",
|
||
"\n",
|
||
"plt.figure(figsize=(9, 5))\n",
|
||
"sns.boxplot(x=\"Рост\", y=\"Оценка\", data=df, palette=\"pastel\")\n",
|
||
"plt.title(\"Оценки по росту\")\n",
|
||
"plt.xlabel(\"студенты\")\n",
|
||
"plt.ylabel(\"Баллы\")\n",
|
||
"plt.show()\n",
|
||
"plt.figure(figsize=(9, 5))\n",
|
||
"sns.histplot(df[\"Оценка\"], bins=4, kde=True, color=\"yellow\")\n",
|
||
"plt.title(\"Распределение оценок\")\n",
|
||
"plt.xlabel(\"Рост\")\n",
|
||
"plt.ylabel(\"Частота\")\n",
|
||
"plt.show()\n",
|
||
"plt.figure(figsize=(9, 5))\n",
|
||
"sns.scatterplot(x=\"Возраст\", y=\"Оценка\", hue=\"Рост\", data=df, s=120, color=\"green\")\n",
|
||
"plt.title(\"Зависимость возраста от оценки\")\n",
|
||
"plt.xlabel(\"Возраст (лет)\")\n",
|
||
"plt.ylabel(\"Оценка\")\n",
|
||
"plt.show()\n",
|
||
"plt.figure(figsize=(9, 5))\n",
|
||
"sns.heatmap(df.select_dtypes(include=[\"number\"]).corr(), annot=True, cmap=\"YlGnBu\", linewidths=0.6)\n",
|
||
"plt.title(\"матрица переменных\")\n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "075f6623-657a-41d9-bb5c-47798d81024d",
|
||
"metadata": {},
|
||
"source": [
|
||
"**5. Прогресс-бар с tqdm**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 62,
|
||
"id": "55502930-1fd0-4f42-a604-ebb2b3b6d95a",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:01<00:00, 94.82it/s]\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"import time\n",
|
||
"import pandas as pd\n",
|
||
"for i in tqdm(range(100)):\n",
|
||
" time.sleep(0.01) # Симуляция долгого процесса"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 63,
|
||
"id": "fc67411e-598b-40b8-8f24-ef043cf0ac39",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 100/100 [00:01<00:00, 95.22it/s]\n",
|
||
"Процесс:: 100%|\u001b[34m████████████████████████████████████████████████████████████\u001b[0m| 100/100 [00:02 < 00:00]\u001b[0m\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"import time\n",
|
||
"import pandas as pd\n",
|
||
"for i in tqdm(range(100)):\n",
|
||
" time.sleep(0.01) # Симуляция долгого процесса\n",
|
||
"for i in tqdm(range(100), desc='Процесс:', bar_format='{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed} < {remaining}]', ncols=100, colour='blue'):\n",
|
||
" time.sleep(0.02) # Симуляция долгого процесса"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 1,
|
||
"id": "8168fe9b-99e8-4410-a18d-597a40e5e8f2",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"100%|████████████████████████████████████████| 100/100 [00:01<00:00, 92.53it/s]\n",
|
||
"Процесс:: 100%|\u001b[34m████████████████████████████████████████████████████████████\u001b[0m| 100/100 [00:02 < 00:00]\u001b[0m\n",
|
||
"Загрузка : 25%|\u001b[31m████████▎ \u001b[0m| 1/4 [00:00<00:01, 2.19it/s]\u001b[0m"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обработана строка: 15\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Загрузка : 50%|\u001b[31m████████████████▌ \u001b[0m| 2/4 [00:00<00:00, 2.34it/s]\u001b[0m"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обработана строка: 22\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Загрузка : 75%|\u001b[31m████████████████████████▊ \u001b[0m| 3/4 [00:01<00:00, 2.39it/s]\u001b[0m"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обработана строка: 45\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Загрузка : 100%|\u001b[31m█████████████████████████████████\u001b[0m| 4/4 [00:01<00:00, 2.38it/s]\u001b[0m"
|
||
]
|
||
},
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Обработана строка: 77\n"
|
||
]
|
||
},
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"from tqdm import tqdm\n",
|
||
"import time\n",
|
||
"import pandas as pd\n",
|
||
"for i in tqdm(range(100)):\n",
|
||
" time.sleep(0.01) # Симуляция долгого процесса\n",
|
||
"for i in tqdm(range(100), desc='Процесс:', bar_format='{l_bar}{bar}| {n_fmt}/{total_fmt} [{elapsed} < {remaining}]', ncols=100, colour='blue'):\n",
|
||
" time.sleep(0.02) # Симуляция долгого процесса\n",
|
||
"df = pd.DataFrame({\n",
|
||
" \"Имя\": [\"Ольга\", \"Олег\", \"Ваня\", \"Настя\"],\n",
|
||
" \"Возраст\": [15, 22, 45, 77],\n",
|
||
" \"Оценка\": [5, 4, 3, 4],\n",
|
||
"})\n",
|
||
"for index, row in tqdm(df.iterrows(), total=df.shape[0], desc=\"Загрузка \", colour='red'):\n",
|
||
" time.sleep(0.4) # Симуляция обработки данных\n",
|
||
" print(f\"Обработана строка: {row['Возраст']}\")"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "bd6800a0-147b-478a-bb59-f7d1d9b0733c",
|
||
"metadata": {},
|
||
"source": [
|
||
"**6. Самостоятельное задание**"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 16,
|
||
"id": "da89bee6-054f-43d3-b47e-b47da53441f1",
|
||
"metadata": {
|
||
"scrolled": true
|
||
},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"Первые строки данных:\n",
|
||
" species island culmen_length_mm culmen_depth_mm flipper_length_mm \\\n",
|
||
"0 Adelie Torgersen 39.1 18.7 181.0 \n",
|
||
"1 Adelie Torgersen 39.5 17.4 186.0 \n",
|
||
"2 Adelie Torgersen 40.3 18.0 195.0 \n",
|
||
"3 Adelie Torgersen NaN NaN NaN \n",
|
||
"4 Adelie Torgersen 36.7 19.3 193.0 \n",
|
||
"\n",
|
||
" body_mass_g sex \n",
|
||
"0 3750.0 MALE \n",
|
||
"1 3800.0 FEMALE \n",
|
||
"2 3250.0 FEMALE \n",
|
||
"3 NaN NaN \n",
|
||
"4 3450.0 FEMALE \n",
|
||
"\n",
|
||
"Информация о DataFrame:\n",
|
||
"<class 'pandas.core.frame.DataFrame'>\n",
|
||
"RangeIndex: 344 entries, 0 to 343\n",
|
||
"Data columns (total 7 columns):\n",
|
||
" # Column Non-Null Count Dtype \n",
|
||
"--- ------ -------------- ----- \n",
|
||
" 0 species 344 non-null object \n",
|
||
" 1 island 344 non-null object \n",
|
||
" 2 culmen_length_mm 342 non-null float64\n",
|
||
" 3 culmen_depth_mm 342 non-null float64\n",
|
||
" 4 flipper_length_mm 342 non-null float64\n",
|
||
" 5 body_mass_g 342 non-null float64\n",
|
||
" 6 sex 334 non-null object \n",
|
||
"dtypes: float64(4), object(3)\n",
|
||
"memory usage: 18.9+ KB\n",
|
||
"None\n",
|
||
"\n",
|
||
"Описательная статистика:\n",
|
||
" culmen_length_mm culmen_depth_mm flipper_length_mm body_mass_g\n",
|
||
"count 342.000000 342.000000 342.000000 342.000000\n",
|
||
"mean 43.921930 17.151170 200.915205 4201.754386\n",
|
||
"std 5.459584 1.974793 14.061714 801.954536\n",
|
||
"min 32.100000 13.100000 172.000000 2700.000000\n",
|
||
"25% 39.225000 15.600000 190.000000 3550.000000\n",
|
||
"50% 44.450000 17.300000 197.000000 4050.000000\n",
|
||
"75% 48.500000 18.700000 213.000000 4750.000000\n",
|
||
"max 59.600000 21.500000 231.000000 6300.000000\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x400 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x500 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import seaborn as sns\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"from tqdm import tqdm\n",
|
||
"\n",
|
||
"file_path = \"table.csv\" \n",
|
||
"df = pd.read_csv(file_path)\n",
|
||
"\n",
|
||
"print(\"Первые строки данных:\")\n",
|
||
"print(df.head()) \n",
|
||
"\n",
|
||
"print(\"\\nИнформация о DataFrame:\")\n",
|
||
"print(df.info()) \n",
|
||
"\n",
|
||
"print(\"\\nОписательная статистика:\")\n",
|
||
"print(df.describe()) \n",
|
||
"\n",
|
||
"\n",
|
||
"df.dropna(inplace=True) \n",
|
||
"sns.set_style(\"whitegrid\") \n",
|
||
"\n",
|
||
"plt.figure(figsize=(8, 4))\n",
|
||
"sns.histplot(df[\"body_mass_g\"], bins=30, kde=True, color=\"blue\")\n",
|
||
"plt.title(\"Распределение массы тела пингвинов\", fontsize=14)\n",
|
||
"plt.xlabel(\"Масса тела (граммы)\", fontsize=12)\n",
|
||
"plt.ylabel(\"Частота\", fontsize=12)\n",
|
||
"plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n",
|
||
"plt.show()\n",
|
||
"plt.figure(figsize=(8, 5))\n",
|
||
"sns.scatterplot(x=df[\"culmen_length_mm\"], y=df[\"culmen_depth_mm\"], hue=df[\"species\"], alpha=0.7)\n",
|
||
"plt.title(\"Зависимость длины и глубины клюва у пингвинов\", fontsize=14)\n",
|
||
"plt.xlabel(\"Длина клюва (мм)\", fontsize=12)\n",
|
||
"plt.ylabel(\"Глубина клюва (мм)\", fontsize=12)\n",
|
||
"plt.grid(linestyle=\"--\", alpha=0.7)\n",
|
||
"plt.show()\n",
|
||
"plt.figure(figsize=(8, 5))\n",
|
||
"sns.boxplot(x=\"species\", y=\"body_mass_g\", data=df, hue=\"species\", palette=\"pastel\", dodge=False)\n",
|
||
"plt.title(\"Распределение массы тела по видам пингвинов\", fontsize=14)\n",
|
||
"plt.xlabel(\"Вид\", fontsize=12)\n",
|
||
"plt.ylabel(\"Масса тела (граммы)\", fontsize=12)\n",
|
||
"plt.grid(axis=\"y\", linestyle=\"--\", alpha=0.7)\n",
|
||
"plt.legend([],[], frameon=False) \n",
|
||
"plt.show()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": null,
|
||
"id": "8b7da5fd-ecf6-4f38-863e-4ee06ce0eae7",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": []
|
||
}
|
||
],
|
||
"metadata": {
|
||
"kernelspec": {
|
||
"display_name": "Python 3 (ipykernel)",
|
||
"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": "3.13.2"
|
||
}
|
||
},
|
||
"nbformat": 4,
|
||
"nbformat_minor": 5
|
||
}
|