{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "fe91e318-ad81-4f03-98c2-14d22370d3d5", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "15" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "a = 10\n", "b = 5\n", "sum_result = a + b\n", "sum_result" ] }, { "cell_type": "markdown", "id": "e64a87ce-1c01-4942-8229-ef8e7abda4e0", "metadata": {}, "source": [ "Результат вычисления: 15" ] }, { "cell_type": "markdown", "id": "db9fa23e-a540-4023-82f3-2062724ca494", "metadata": {}, "source": [ "**Задание 3. Работа с pandas и numpy**" ] }, { "cell_type": "code", "execution_count": 12, "id": "dd0d359a-178d-46e0-87a5-1684c5cfde4c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Первый взгляд на данные:\n", " Имя Возраст Баллы\n", "0 Анна 52 62\n", "1 Борис 43 70\n", "2 Виктор 17 87\n", "3 Галина 88 79\n", "\n", "RangeIndex: 4 entries, 0 to 3\n", "Data columns (total 3 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Имя 4 non-null object\n", " 1 Возраст 4 non-null int64 \n", " 2 Баллы 4 non-null int64 \n", "dtypes: int64(2), object(1)\n", "memory usage: 228.0+ bytes\n", "None\n", " Возраст Баллы\n", "count 4.000000 4.000000\n", "mean 50.000000 74.500000\n", "std 29.359837 10.847427\n", "min 17.000000 62.000000\n", "25% 36.500000 68.000000\n", "50% 47.500000 74.500000\n", "75% 61.000000 81.000000\n", "max 88.000000 87.000000\n", "Имя 0\n", "Возраст 0\n", "Баллы 0\n", "dtype: int64\n" ] } ], "source": [ "import pandas as pd\n", "\n", "# Создадим DataFrame\n", "data = {\n", " \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n", " \"Возраст\": [52, 43, 17, 88],\n", " \"Баллы\": [62, 70, 87, 79]\n", "}\n", "df = pd.DataFrame(data)\n", "\n", "print(\"Первый взгляд на данные:\")\n", "print(df.head())\n", "print(df.info())\n", "print(df.describe())\n", "print(df.isnull().sum())" ] }, { "cell_type": "markdown", "id": "0de277b0-178e-4f40-a68d-31e8c25414a5", "metadata": {}, "source": [ "Попробуйте самостоятельно (каждый пункт в новых блоках):\n", "\n", "Поместить df в последнюю строчку блока.\n", "Добавить новый столбец с вычисляемыми значениями (df[\"Новый столбец\"] = df[\"Баллы\"] * 1.1).\n", "Применить .groupby() и .agg(), чтобы сгруппировать данные.\n", "Фильтровать записи по условиям (df[df[\"Возраст\"] > 21])." ] }, { "cell_type": "markdown", "id": "96bcb567-49a5-4c2d-b42a-ac269cba7536", "metadata": {}, "source": [ "а) Поместить df в последнюю строчку блока." ] }, { "cell_type": "code", "execution_count": 13, "id": "9fee927b-8d9b-49b6-b86d-b49bbc22f741", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Первый взгляд на данные:\n", " Имя Возраст Баллы\n", "0 Анна 52 62\n", "1 Борис 43 70\n", "2 Виктор 17 87\n", "3 Галина 88 79\n", "\n", "RangeIndex: 4 entries, 0 to 3\n", "Data columns (total 3 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Имя 4 non-null object\n", " 1 Возраст 4 non-null int64 \n", " 2 Баллы 4 non-null int64 \n", "dtypes: int64(2), object(1)\n", "memory usage: 228.0+ bytes\n", "None\n", " Возраст Баллы\n", "count 4.000000 4.000000\n", "mean 50.000000 74.500000\n", "std 29.359837 10.847427\n", "min 17.000000 62.000000\n", "25% 36.500000 68.000000\n", "50% 47.500000 74.500000\n", "75% 61.000000 81.000000\n", "max 88.000000 87.000000\n", "Имя 0\n", "Возраст 0\n", "Баллы 0\n", "dtype: int64\n" ] }, { "data": { "text/html": [ "
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" ], "text/plain": [ " Имя Возраст Баллы\n", "0 Анна 52 62\n", "1 Борис 43 70\n", "2 Виктор 17 87\n", "3 Галина 88 79" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "\n", "# Создадим DataFrame\n", "data = {\n", " \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n", " \"Возраст\": [52, 43, 17, 88],\n", " \"Баллы\": [62, 70, 87, 79]\n", "}\n", "df = pd.DataFrame(data)\n", "\n", "print(\"Первый взгляд на данные:\")\n", "print(df.head())\n", "print(df.info())\n", "print(df.describe())\n", "print(df.isnull().sum())\n", "df" ] }, { "cell_type": "markdown", "id": "b2aea20f-5a6b-49c7-8b01-cb8c3b78df65", "metadata": {}, "source": [ "б) Добавить новый столбец с вычисляемыми значениями (df[\"Новый столбец\"] = df[\"Стоимость\"] * 1.1)." ] }, { "cell_type": "code", "execution_count": 17, "id": "af1aa6b8-f2fe-4e59-bc95-38a1548c1595", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Первый взгляд на данные:\n", " Имя Возраст Баллы\n", "0 Анна 52 62\n", "1 Борис 43 70\n", "2 Виктор 17 87\n", "3 Галина 88 79\n", "\n", "RangeIndex: 4 entries, 0 to 3\n", "Data columns (total 3 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Имя 4 non-null object\n", " 1 Возраст 4 non-null int64 \n", " 2 Баллы 4 non-null int64 \n", "dtypes: int64(2), object(1)\n", "memory usage: 228.0+ bytes\n", "None\n", " Возраст Баллы\n", "count 4.000000 4.000000\n", "mean 50.000000 74.500000\n", "std 29.359837 10.847427\n", "min 17.000000 62.000000\n", "25% 36.500000 68.000000\n", "50% 47.500000 74.500000\n", "75% 61.000000 81.000000\n", "max 88.000000 87.000000\n", "Имя 0\n", "Возраст 0\n", "Баллы 0\n", "dtype: int64\n", "\n", "Обновлённый DataFrame с новым столбцом:\n", " Имя Возраст Баллы Новый столбец\n", "0 Анна 52 62 68.2\n", "1 Борис 43 70 77.0\n", "2 Виктор 17 87 95.7\n", "3 Галина 88 79 86.9\n" ] }, { "data": { "text/html": [ "
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ИмяВозрастБаллыНовый столбец
0Анна526268.2
1Борис437077.0
2Виктор178795.7
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" ], "text/plain": [ " Имя Возраст Баллы Новый столбец\n", "0 Анна 52 62 68.2\n", "1 Борис 43 70 77.0\n", "2 Виктор 17 87 95.7\n", "3 Галина 88 79 86.9" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "\n", "# Создадим DataFrame\n", "data = {\n", " \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n", " \"Возраст\": [52, 43, 17, 88],\n", " \"Баллы\": [62, 70, 87, 79]\n", "}\n", "df = pd.DataFrame(data)\n", "\n", "print(\"Первый взгляд на данные:\")\n", "print(df.head())\n", "print(df.info())\n", "print(df.describe())\n", "print(df.isnull().sum())\n", "df[\"Новый столбец\"] = df[\"Баллы\"] * 1.1\n", "print(\"\\nОбновлённый DataFrame с новым столбцом:\")\n", "print(df.head())\n", "df" ] }, { "cell_type": "markdown", "id": "9d383ab5-65f2-4316-ab4a-d579abc60394", "metadata": {}, "source": [ "в) Применить .groupby() и .agg(), чтобы сгруппировать данные." ] }, { "cell_type": "code", "execution_count": 18, "id": "7cd7976a-5272-4735-87fe-ff45e3015f65", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Первый взгляд на данные:\n", " Имя Возраст Баллы\n", "0 Анна 52 62\n", "1 Борис 43 70\n", "2 Виктор 17 87\n", "3 Галина 88 79\n", "\n", "RangeIndex: 4 entries, 0 to 3\n", "Data columns (total 3 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Имя 4 non-null object\n", " 1 Возраст 4 non-null int64 \n", " 2 Баллы 4 non-null int64 \n", "dtypes: int64(2), object(1)\n", "memory usage: 228.0+ bytes\n", "None\n", " Возраст Баллы\n", "count 4.000000 4.000000\n", "mean 50.000000 74.500000\n", "std 29.359837 10.847427\n", "min 17.000000 62.000000\n", "25% 36.500000 68.000000\n", "50% 47.500000 74.500000\n", "75% 61.000000 81.000000\n", "max 88.000000 87.000000\n", "Имя 0\n", "Возраст 0\n", "Баллы 0\n", "dtype: int64\n", "\n", "Обновлённый DataFrame с новым столбцом:\n", " Имя Возраст Баллы Новый столбец\n", "0 Анна 52 62 68.2\n", "1 Борис 43 70 77.0\n", "2 Виктор 17 87 95.7\n", "3 Галина 88 79 86.9\n", "\n", "Группировка данных по возрасту:\n", " Баллы Новый столбец\n", "Возраст \n", "17 87.0 95.7\n", "43 70.0 77.0\n", "52 62.0 68.2\n", "88 79.0 86.9\n" ] }, { "data": { "text/html": [ "
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ИмяВозрастБаллыНовый столбец
0Анна526268.2
1Борис437077.0
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3Галина887986.9
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" ], "text/plain": [ " Имя Возраст Баллы Новый столбец\n", "0 Анна 52 62 68.2\n", "1 Борис 43 70 77.0\n", "2 Виктор 17 87 95.7\n", "3 Галина 88 79 86.9" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "\n", "# Создадим DataFrame\n", "data = {\n", " \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n", " \"Возраст\": [52, 43, 17, 88],\n", " \"Баллы\": [62, 70, 87, 79]\n", "}\n", "df = pd.DataFrame(data)\n", "\n", "print(\"Первый взгляд на данные:\")\n", "print(df.head())\n", "print(df.info())\n", "print(df.describe())\n", "print(df.isnull().sum())\n", "df[\"Новый столбец\"] = df[\"Баллы\"] * 1.1\n", "print(\"\\nОбновлённый DataFrame с новым столбцом:\")\n", "print(df.head())\n", "grouped = df.groupby(\"Возраст\").agg({\"Баллы\": \"mean\", \"Новый столбец\": \"mean\"})\n", "print(\"\\nГруппировка данных по возрасту:\")\n", "print(grouped)\n", "df" ] }, { "cell_type": "markdown", "id": "28c0a8d7-5a5a-4be9-b1ed-6ef3a450a265", "metadata": {}, "source": [ "г) Фильтровать записи по условиям (df[df[\"Возраст\"] > 21])." ] }, { "cell_type": "code", "execution_count": 19, "id": "c80fe6e2-e311-4a05-86e9-21412c6ee301", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Первый взгляд на данные:\n", " Имя Возраст Баллы\n", "0 Анна 52 62\n", "1 Борис 43 70\n", "2 Виктор 17 87\n", "3 Галина 88 79\n", "\n", "RangeIndex: 4 entries, 0 to 3\n", "Data columns (total 3 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Имя 4 non-null object\n", " 1 Возраст 4 non-null int64 \n", " 2 Баллы 4 non-null int64 \n", "dtypes: int64(2), object(1)\n", "memory usage: 228.0+ bytes\n", "None\n", " Возраст Баллы\n", "count 4.000000 4.000000\n", "mean 50.000000 74.500000\n", "std 29.359837 10.847427\n", "min 17.000000 62.000000\n", "25% 36.500000 68.000000\n", "50% 47.500000 74.500000\n", "75% 61.000000 81.000000\n", "max 88.000000 87.000000\n", "Имя 0\n", "Возраст 0\n", "Баллы 0\n", "dtype: int64\n", "\n", "Обновлённый DataFrame с новым столбцом:\n", " Имя Возраст Баллы Новый столбец\n", "0 Анна 52 62 68.2\n", "1 Борис 43 70 77.0\n", "2 Виктор 17 87 95.7\n", "3 Галина 88 79 86.9\n", "\n", "Группировка данных по возрасту:\n", " Баллы Новый столбец\n", "Возраст \n", "17 87.0 95.7\n", "43 70.0 77.0\n", "52 62.0 68.2\n", "88 79.0 86.9\n", "\n", "Отфильтрованные данные (возраст > 21):\n", " Имя Возраст Баллы Новый столбец\n", "0 Анна 52 62 68.2\n", "1 Борис 43 70 77.0\n", "3 Галина 88 79 86.9\n" ] }, { "data": { "text/html": [ "
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ИмяВозрастБаллыНовый столбец
0Анна526268.2
1Борис437077.0
2Виктор178795.7
3Галина887986.9
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" ], "text/plain": [ " Имя Возраст Баллы Новый столбец\n", "0 Анна 52 62 68.2\n", "1 Борис 43 70 77.0\n", "2 Виктор 17 87 95.7\n", "3 Галина 88 79 86.9" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import pandas as pd\n", "\n", "# Создадим DataFrame\n", "data = {\n", " \"Имя\": [\"Анна\", \"Борис\", \"Виктор\", \"Галина\"],\n", " \"Возраст\": [52, 43, 17, 88],\n", " \"Баллы\": [62, 70, 87, 79]\n", "}\n", "df = pd.DataFrame(data)\n", "\n", "print(\"Первый взгляд на данные:\")\n", "print(df.head())\n", "print(df.info())\n", "print(df.describe())\n", "print(df.isnull().sum())\n", "df[\"Новый столбец\"] = df[\"Баллы\"] * 1.1\n", "print(\"\\nОбновлённый DataFrame с новым столбцом:\")\n", "print(df.head())\n", "grouped = df.groupby(\"Возраст\").agg({\"Баллы\": \"mean\", \"Новый столбец\": \"mean\"})\n", "print(\"\\nГруппировка данных по возрасту:\")\n", "print(grouped)\n", "filtered_df = df[df[\"Возраст\"] > 21]\n", "print(\"\\nОтфильтрованные данные (возраст > 21):\")\n", "print(filtered_df)\n", "df" ] }, { "cell_type": "markdown", "id": "6ffeafd0-9eea-4094-84b3-30034d730c8f", "metadata": {}, "source": [ "**numpy: массивы и вычисления**" ] }, { "cell_type": "code", "execution_count": 20, "id": "a9cdc58a-4ed6-4d02-b518-369e16e142d8", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Сумма элементов массива: 94\n", "Среднее значение: 18.8\n", "Медиана: 15.0\n", "Стандартное отклонение: 8.795453370918409\n" ] } ], "source": [ "import numpy as np\n", "\n", "arr = np.array([23, 12, 15, 34, 10])\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": "26c1bc41-3cc8-47e7-b34a-3a927257da3b", "metadata": {}, "source": [ "а) Создать двумерный массив (np.array([[1, 2], [3, 4]]))." ] }, { "cell_type": "code", "execution_count": 21, "id": "63876045-8b52-4fb7-ab80-139e774380b4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Двумерный массив:\n", "[[23 12]\n", " [15 34]]\n", "\n", "Сумма элементов массива: 84\n", "Среднее значение массива: 21.0\n", "Медиана массива: 19.0\n", "Стандартное отклонение массива: 8.514693182963201\n" ] } ], "source": [ "import numpy as np\n", "\n", "# Создадим двумерный массив\n", "arr = np.array([[23, 12], [15, 34]])\n", "\n", "print(\"Двумерный массив:\")\n", "print(arr)\n", "\n", "# Выполним операции над данным массивом\n", "print(\"\\nСумма элементов массива:\", np.sum(arr))\n", "print(\"Среднее значение массива:\", np.mean(arr))\n", "print(\"Медиана массива:\", np.median(arr))\n", "print(\"Стандартное отклонение массива:\", np.std(arr))" ] }, { "cell_type": "markdown", "id": "25bd163e-dfb4-4ccf-ac1e-603eb135c32c", "metadata": {}, "source": [ "б) Использовать np.linspace(), np.random.randn(), np.dot()." ] }, { "cell_type": "code", "execution_count": 23, "id": "cc8c892b-57c6-4a0f-960c-19d948807e5d", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Массив, созданный с помощью np.linspace():\n", "[ 0. 2.5 5. 7.5 10. ]\n", "\n", "Массив с нормально распределёнными числами (2x3):\n", "[[-2.20286787 2.01374762 1.0521351 ]\n", " [-1.97188771 1.06645742 -0.12979525]]\n", "\n", "Результат матричного умножения (np.dot()):\n", "[[19 22]\n", " [43 50]]\n" ] } ], "source": [ "import numpy as np\n", "\n", "# 1. Используем np.linspace() для создания массива с равномерным распределением значений\n", "arr_linspace = np.linspace(0, 10, 5) # Массив с 5 равномерно распределёнными числами от 0 до 10\n", "print(\"Массив, созданный с помощью np.linspace():\")\n", "print(arr_linspace)\n", "\n", "# 2. Используем np.random.randn() для создания массива с нормально распределёнными числами\n", "arr_random = np.random.randn(2, 3) # Массив 2x3 с нормально распределёнными числами\n", "print(\"\\nМассив с нормально распределёнными числами (2x3):\")\n", "print(arr_random)\n", "\n", "# 3. Используем np.dot() для выполнения скалярного произведения (или матричного умножения)\n", "arr_a = np.array([[1, 2], [3, 4]]) # 2x2 матрица\n", "arr_b = np.array([[5, 6], [7, 8]]) # 2x2 матрица\n", "result_dot = np.dot(arr_a, arr_b) # Матричное умножение\n", "print(\"\\nРезультат матричного умножения (np.dot()):\")\n", "print(result_dot)\n" ] }, { "cell_type": "markdown", "id": "59db5131-f3b8-420d-9c67-fe1ef327a58f", "metadata": {}, "source": [ "**Задание 4. Визуализация данных**" ] }, { "cell_type": "markdown", "id": "d3e03426-3500-450e-8144-469b298ed8e3", "metadata": {}, "source": [ "**matplotlib: построение графиков**" ] }, { "cell_type": "code", "execution_count": 26, "id": "8b42b5cc-8361-46d6-9c8e-0968a8885c24", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "x = np.linspace(0, 50, 150)\n", "y = np.cos(x)\n", "\n", "plt.plot(x, y, label='cos(x)')\n", "plt.xlabel(\"X\")\n", "plt.ylabel(\"Y\")\n", "plt.title(\"График косинуса\")\n", "plt.legend()\n", "plt.grid()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "6aef7eb8-be2f-44af-83e7-49413e877d56", "metadata": {}, "source": [ "**а) Изменить цвет (color='red').**" ] }, { "cell_type": "code", "execution_count": 29, "id": "a29e3b97-c07c-4ed8-ab2e-ba5f79f6a9a7", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "x = np.linspace(0, 50, 150)\n", "y = np.cos(x)\n", "\n", "plt.plot(x, y, label='cos(x)', color='red')\n", "plt.xlabel(\"X\")\n", "plt.ylabel(\"Y\")\n", "plt.title(\"График косинуса\")\n", "plt.legend()\n", "plt.grid()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "634998ec-b087-4c08-8fdf-903aa9e0f6c1", "metadata": {}, "source": [ "**б) Добавить несколько графиков (plt.plot(x, np.cos(x), label='cos(x)')).**" ] }, { "cell_type": "code", "execution_count": 30, "id": "2d879a43-1f30-40c0-9d0d-69ba23e5deef", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "x = np.linspace(0, 50, 150)\n", "\n", "y_sin = np.sin(x)\n", "y_cos = np.cos(x)\n", "\n", "# Строим графики синуса и косинуса\n", "plt.plot(x, y_sin, label='sin(x)', color='blue') # График синуса\n", "plt.plot(x, y_cos, label='cos(x)', color='red') # График косинуса\n", "\n", "# Добавляем подписи и заголовок\n", "plt.xlabel(\"X\")\n", "plt.ylabel(\"Y\")\n", "plt.title(\"Графики синуса и косинуса\")\n", "plt.legend()\n", "plt.grid()\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "d43416cd-17b8-4113-bf91-918a7c5a3249", "metadata": {}, "source": [ "**в) Использовать bar, scatter, hist.**" ] }, { "cell_type": "code", "execution_count": 32, "id": "87b52a0b-e926-49f9-b123-063c43cb1a0b", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "x = np.linspace(0, 50, 150)\n", "y_sin = np.sin(x)\n", "y_cos = np.cos(x)\n", "\n", "# 1. Столбчатый график (bar)\n", "plt.figure(figsize=(10, 6))\n", "plt.subplot(2, 2, 1) # 2 строки, 2 столбца, первый график\n", "categories = ['A', 'B', 'C', 'D', 'E']\n", "values = [5, 3, 9, 6, 2]\n", "plt.bar(categories, values, color='green')\n", "plt.title('Столбчатый график')\n", "plt.xlabel('Категории')\n", "plt.ylabel('Значения')\n", "\n", "# 2. График рассеяния (scatter)\n", "plt.subplot(2, 2, 2) # 2 строки, 2 столбца, второй график\n", "plt.scatter(x, y_sin, color='red', label='sin(x)')\n", "plt.scatter(x, y_cos, color='blue', label='cos(x)')\n", "plt.title('График рассеяния')\n", "plt.xlabel('X')\n", "plt.ylabel('Y')\n", "plt.legend()\n", "\n", "# 3. Гистограмма (hist)\n", "plt.subplot(2, 2, 3) # 2 строки, 2 столбца, третий график\n", "data = np.random.randn(1000) # Генерируем случайные данные\n", "plt.hist(data, bins=30, color='purple', alpha=0.7)\n", "plt.title('Гистограмма')\n", "plt.xlabel('Значения')\n", "plt.ylabel('Частота')\n", "\n", "# Показываем все графики\n", "plt.tight_layout() # Автоматически распределяет элементы графиков\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "4593ca3a-db87-4957-9f3c-d6548599d38b", "metadata": {}, "source": [ "**seaborn: работа с графиками данных**" ] }, { "cell_type": "code", "execution_count": 34, "id": "ff4531f9-b68e-4d7d-9aeb-31efb1cf0bb4", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "\n", "df[\"Категория\"] = [\"F\", \"G\", \"F\", \"G\"]\n", "sns.boxplot(x=\"Категория\", y=\"Баллы\", data=df)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "9153b4ef-d3aa-4519-9dbf-a1ddf12ea839", "metadata": {}, "source": [ "**а) Построить histplot, scatterplot.**" ] }, { "cell_type": "code", "execution_count": 36, "id": "0189b216-b1a8-4d7e-8eac-0bb7980a4720", "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "\n", "data = {\n", " \"Имя\": [\"Кирилл\", \"Гриша\", \"Никита\", \"Антон\"],\n", " \"Возраст\": [20, 19, 19, 19],\n", " \"Баллы\": [95, 80, 85, 70],\n", " \"Категория\": [\"А\", \"В\", \"А\", \"В\"]\n", "}\n", "df = pd.DataFrame(data)\n", "\n", "#Строим histplot\n", "plt.figure(figsize=(12,6))\n", "plt.subplot(1,2,1)\n", "sns.histplot(df['Баллы'], kde=True, color='blue')\n", "plt.title(\"Распределение баллов\")\n", "\n", "#Строим scatterplot\n", "plt.subplot(1,2,2)\n", "sns.scatterplot(x=\"Возраст\", y=\"Баллы\", data=df, hue=\"Категория\", palette=\"Set1\")\n", "plt.title(\"Диаграмма рассеяния: Возраст vs Баллы\")\n", "\n", "plt.tight_layout()\n", "plt.show()\n" ] }, { "cell_type": "markdown", "id": "b2165bb2-f1fc-415c-92b5-d4885ca77cf2", "metadata": {}, "source": [ "**б)Добавить sns.pairplot(df), sns.heatmap(df.corr(), annot=True).**" ] }, { "cell_type": "code", "execution_count": 37, "id": "5ed31e2a-0fd7-4709-96a7-0b4b5625a4dc", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import pandas as pd\n", "\n", "data = {\n", " \"Имя\": [\"Кирилл\", \"Гриша\", \"Никита\", \"Антон\"],\n", " \"Возраст\": [20, 19, 19, 19],\n", " \"Баллы\": [95, 80, 85, 70],\n", " \"Категория\": [\"А\", \"В\", \"А\", \"В\"]\n", "}\n", "df = pd.DataFrame(data)\n", "\n", "#pairplot\n", "sns.pairplot(df, hue=\"Категория\", palette=\"Set1\")\n", "plt.show()\n", "\n", "#heatmap\n", "plt.figure(figsize=(6,4))\n", "sns.heatmap(df[[\"Возраст\", \"Баллы\"]].corr(), annot=True, cmap='coolwarm', linewidths=0.5)\n", "plt.title(\"Тепловая карта корреляции\")\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "bb752307-340c-4dc3-a9fe-48149a9ea5a1", "metadata": {}, "source": [ "**Задание 5. Прогресс-бар с tqdm**" ] }, { "cell_type": "code", "execution_count": 39, "id": "238b863a-390f-4b0d-89da-a6ea4e1dab02", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "100%|████████████████████████████████████████████████████████████████████████████████| 100/100 [00:05<00:00, 19.63it/s]\n" ] } ], "source": [ "from tqdm import tqdm\n", "import time\n", "\n", "for i in tqdm(range(100)):\n", " time.sleep(0.05) # Симуляция долгого процесса" ] }, { "cell_type": "markdown", "id": "4bbae233-677a-4b5d-80d2-c4745b6fcb80", "metadata": {}, "source": [ "**а) Использовать tqdm для обработки данных (tqdm(df.iterrows())).**" ] }, { "cell_type": "code", "execution_count": 41, "id": "12de5418-220a-48fe-be85-cac5dc6688ea", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Обработка строк: 20%|█████████████▍ | 1/5 [00:00<00:02, 2.00it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Обрабатываем строку 0: {'A': 1, 'B': 10}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Обработка строк: 40%|██████████████████████████▊ | 2/5 [00:01<00:01, 1.99it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Обрабатываем строку 1: {'A': 2, 'B': 11}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Обработка строк: 60%|████████████████████████████████████████▏ | 3/5 [00:01<00:01, 1.99it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Обрабатываем строку 2: {'A': 3, 'B': 12}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Обработка строк: 80%|█████████████████████████████████████████████████████▌ | 4/5 [00:02<00:00, 1.99it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Обрабатываем строку 3: {'A': 4, 'B': 13}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "Обработка строк: 100%|███████████████████████████████████████████████████████████████████| 5/5 [00:02<00:00, 1.99it/s]" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Обрабатываем строку 4: {'A': 5, 'B': 14}\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "\n" ] } ], "source": [ "import pandas as pd\n", "from tqdm import tqdm\n", "import time\n", "\n", "# Создаем DataFrame\n", "data = {'A': range(1, 6), 'B': range(10, 15)}\n", "df = pd.DataFrame(data)\n", "\n", "# Обход строк с tqdm\n", "for index, row in tqdm(df.iterrows(), total=len(df), desc=\"Обработка строк\"):\n", " time.sleep(0.5) # Симуляция обработки строки\n", " print(f\"Обрабатываем строку {index}: {row.to_dict()}\")\n" ] }, { "cell_type": "markdown", "id": "878b2483-2c12-4483-b49b-db7f639efa9c", "metadata": {}, "source": [ "**б) Добавить кастомные стилизации (tqdm(range(100), desc='Загрузка')).**" ] }, { "cell_type": "code", "execution_count": 45, "id": "966acaca-d8ed-4e7c-82eb-3411c86398f7", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "🔄 Загрузка: 100%|████████████████████████████| 100/100 [00:05<00:00, 19.64it/s]\n" ] } ], "source": [ "from tqdm import tqdm\n", "import time\n", "\n", "# Прогресс-бар с кастомным описанием\n", "for i in tqdm(range(100), desc=\"🔄 Загрузка\", ascii=\"░▒▓█\", ncols=80):\n", " time.sleep(0.05) # Симуляция загрузки\n" ] }, { "cell_type": "markdown", "id": "20301cbc-99fd-4a66-ae1a-192931e709f5", "metadata": {}, "source": [ "**6. Самостоятельное задание**" ] }, { "cell_type": "code", "execution_count": 46, "id": "556382d8-79db-4b2e-a49d-75863a9e6faa", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 891 entries, 0 to 890\n", "Data columns (total 12 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 PassengerId 891 non-null int64 \n", " 1 Survived 891 non-null int64 \n", " 2 Pclass 891 non-null int64 \n", " 3 Name 891 non-null object \n", " 4 Sex 891 non-null object \n", " 5 Age 714 non-null float64\n", " 6 SibSp 891 non-null int64 \n", " 7 Parch 891 non-null int64 \n", " 8 Ticket 891 non-null object \n", " 9 Fare 891 non-null float64\n", " 10 Cabin 204 non-null object \n", " 11 Embarked 889 non-null object \n", "dtypes: float64(2), int64(5), object(5)\n", "memory usage: 83.7+ KB\n", "None\n", " PassengerId Survived Pclass Age SibSp \\\n", "count 891.000000 891.000000 891.000000 714.000000 891.000000 \n", "mean 446.000000 0.383838 2.308642 29.699118 0.523008 \n", "std 257.353842 0.486592 0.836071 14.526497 1.102743 \n", "min 1.000000 0.000000 1.000000 0.420000 0.000000 \n", "25% 223.500000 0.000000 2.000000 20.125000 0.000000 \n", "50% 446.000000 0.000000 3.000000 28.000000 0.000000 \n", "75% 668.500000 1.000000 3.000000 38.000000 1.000000 \n", "max 891.000000 1.000000 3.000000 80.000000 8.000000 \n", "\n", " Parch Fare \n", "count 891.000000 891.000000 \n", "mean 0.381594 32.204208 \n", "std 0.806057 49.693429 \n", "min 0.000000 0.000000 \n", "25% 0.000000 7.910400 \n", "50% 0.000000 14.454200 \n", "75% 0.000000 31.000000 \n", "max 6.000000 512.329200 \n", "PassengerId 0\n", "Survived 0\n", "Pclass 0\n", "Name 0\n", "Sex 0\n", "Age 177\n", "SibSp 0\n", "Parch 0\n", "Ticket 0\n", "Fare 0\n", "Cabin 687\n", "Embarked 2\n", "dtype: int64\n" ] }, { "data": { "image/png": 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", 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" ] }, "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", "# Загрузка данных\n", "df = pd.read_csv(\"https://raw.githubusercontent.com/datasciencedojo/datasets/master/titanic.csv\")\n", "\n", "# Базовый анализ данных\n", "print(df.info())\n", "print(df.describe())\n", "print(df.isnull().sum()) # Проверка пропущенных значений\n", "\n", "# Визуализация\n", "plt.figure(figsize=(15, 5))\n", "\n", "# 1. Гистограмма возраста\n", "plt.subplot(1, 3, 1)\n", "sns.histplot(df['Age'].dropna(), bins=30, kde=True)\n", "plt.title(\"Распределение возраста пассажиров\")\n", "\n", "# 2. Диаграмма рассеяния (стоимость билета vs возраст)\n", "plt.subplot(1, 3, 2)\n", "sns.scatterplot(x=df['Age'], y=df['Fare'], alpha=0.5)\n", "plt.title(\"Связь стоимости билета и возраста\")\n", "\n", "# 3. Boxplot стоимости билетов по классам\n", "plt.subplot(1, 3, 3)\n", "sns.boxplot(x=df['Pclass'], y=df['Fare'])\n", "plt.title(\"Стоимость билетов в разных классах\")\n", "\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# Сохранение результатов\n", "df.to_csv(\"titanic_processed.csv\", index=False)\n" ] }, { "cell_type": "code", "execution_count": null, "id": "f1abcd96-c4e6-4077-9ad0-df8cd5908c15", "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 }