157 lines
3.8 KiB
Plaintext
157 lines
3.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e7297b19-5736-4a17-911d-645849a628a6",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"from tqdm import tqdm\n",
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"import time"
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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": null,
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"id": "711ef140-61f6-4b64-8fcf-598247617d65",
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"metadata": {},
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"outputs": [],
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"source": [
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"df = pd.read_csv(\"movies.csv\")\n",
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"\n",
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"print(\"Размер таблицы:\", df.shape)\n",
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"df.head()"
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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": null,
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"id": "8d269a73-b428-421b-a9e7-e1158368d099",
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"metadata": {},
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"outputs": [],
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"source": [
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"df.info()"
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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": null,
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"id": "965d5583-2cc3-409c-8db4-a7a00494a6ed",
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"metadata": {},
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"outputs": [],
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"source": [
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"df.describe()"
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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": null,
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"id": "c74ac668-6c80-49c8-8b72-eea13fdf5ded",
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"metadata": {},
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"outputs": [],
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"source": [
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"df.isnull().sum()"
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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": null,
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"id": "4940a598-773c-4f6e-8bce-e841404eebc3",
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.figure(figsize=(8, 5))\n",
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"sns.histplot(df[\"rating\"], bins=8, kde=True)\n",
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"plt.title(\"Распределение рейтингов фильмов\")\n",
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"plt.xlabel(\"Рейтинг\")\n",
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"plt.ylabel(\"Количество фильмов\")\n",
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"plt.show()"
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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": null,
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"id": "906ffd6f-e7a2-402a-9a33-40a075cc5685",
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.figure(figsize=(8, 5))\n",
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"sns.scatterplot(data=df, x=\"year\", y=\"rating\", hue=\"genre\")\n",
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"plt.title(\"Связь года выпуска и рейтинга фильма\")\n",
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"plt.xlabel(\"Год выпуска\")\n",
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"plt.ylabel(\"Рейтинг\")\n",
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"plt.legend(title=\"Жанр\", bbox_to_anchor=(1.05, 1), loc=\"upper left\")\n",
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"plt.show()"
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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": null,
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"id": "a05e677a-74e7-4a3a-adce-02f8dc04153e",
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"metadata": {},
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"outputs": [],
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"source": [
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"plt.figure(figsize=(10, 5))\n",
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"sns.boxplot(data=df, x=\"genre\", y=\"rating\")\n",
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"plt.title(\"Распределение рейтингов по жанрам\")\n",
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"plt.xlabel(\"Жанр\")\n",
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"plt.ylabel(\"Рейтинг\")\n",
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"plt.xticks(rotation=45)\n",
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"plt.show()"
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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": null,
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"id": "55e5ea86-f072-419c-b937-d752f8fec4e3",
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"metadata": {},
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"outputs": [],
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"source": [
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"ratings = df[\"rating\"].to_numpy()\n",
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"\n",
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"print(\"Средний рейтинг:\", np.mean(ratings))\n",
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"print(\"Минимальный рейтинг:\", np.min(ratings))\n",
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"print(\"Максимальный рейтинг:\", np.max(ratings))\n",
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"print(\"Стандартное отклонение:\", np.std(ratings))"
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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": null,
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"id": "86546195-d108-4c55-9401-9d7017d96277",
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"metadata": {},
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"outputs": [],
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"source": [
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"for i in tqdm(range(100)):\n",
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" time.sleep(0.01)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.14.5"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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