{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Начало лабораторной работы №1\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Набор данных \"Наблюдения НЛО в США\"." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### Загрузка и сохранение данных" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
summarycitystatedate_timeshapedurationstatsreport_linktextpostedcity_latitudecity_longitude
0Viewed some red lights in the sky appearing to...VisaliaCA2021-12-15T21:45:00light2 minutesOccurred : 12/15/2021 21:45 (Entered as : 12/...http://www.nuforc.org/webreports/165/S165881.htmlViewed some red lights in the sky appearing to...2021-12-19T00:00:0036.356650-119.347937
1Look like 1 or 3 crafts from North traveling s...CincinnatiOH2021-12-16T09:45:00triangle14 secondsOccurred : 12/16/2021 09:45 (Entered as : 12/...http://www.nuforc.org/webreports/165/S165888.htmlLook like 1 or 3 crafts from North traveling s...2021-12-19T00:00:0039.174503-84.481363
2seen dark rectangle moving slowly thru the sky...TecopaCA2021-12-10T00:00:00rectangleSeveral minutesOccurred : 12/10/2021 00:00 (Entered as : 12/...http://www.nuforc.org/webreports/165/S165810.htmlseen dark rectangle moving slowly thru the sky...2021-12-19T00:00:00NaNNaN
3One red light moving switly west to east, beco...KnoxvilleTN2021-12-10T19:30:00triangle20-30 secondsOccurred : 12/10/2021 19:30 (Entered as : 12/...http://www.nuforc.org/webreports/165/S165825.htmlOne red light moving switly west to east, beco...2021-12-19T00:00:0035.961561-83.980115
4Bright, circular Fresnel-lens shaped light sev...AlexandriaVA2021-12-07T08:00:00circleNaNOccurred : 12/7/2021 08:00 (Entered as : 12/0...http://www.nuforc.org/webreports/165/S165754.htmlBright, circular Fresnel-lens shaped light sev...2021-12-19T00:00:0038.798958-77.095133
\n", "
" ], "text/plain": [ " summary city state \\\n", "0 Viewed some red lights in the sky appearing to... Visalia CA \n", "1 Look like 1 or 3 crafts from North traveling s... Cincinnati OH \n", "2 seen dark rectangle moving slowly thru the sky... Tecopa CA \n", "3 One red light moving switly west to east, beco... Knoxville TN \n", "4 Bright, circular Fresnel-lens shaped light sev... Alexandria VA \n", "\n", " date_time shape duration \\\n", "0 2021-12-15T21:45:00 light 2 minutes \n", "1 2021-12-16T09:45:00 triangle 14 seconds \n", "2 2021-12-10T00:00:00 rectangle Several minutes \n", "3 2021-12-10T19:30:00 triangle 20-30 seconds \n", "4 2021-12-07T08:00:00 circle NaN \n", "\n", " stats \\\n", "0 Occurred : 12/15/2021 21:45 (Entered as : 12/... \n", "1 Occurred : 12/16/2021 09:45 (Entered as : 12/... \n", "2 Occurred : 12/10/2021 00:00 (Entered as : 12/... \n", "3 Occurred : 12/10/2021 19:30 (Entered as : 12/... \n", "4 Occurred : 12/7/2021 08:00 (Entered as : 12/0... \n", "\n", " report_link \\\n", "0 http://www.nuforc.org/webreports/165/S165881.html \n", "1 http://www.nuforc.org/webreports/165/S165888.html \n", "2 http://www.nuforc.org/webreports/165/S165810.html \n", "3 http://www.nuforc.org/webreports/165/S165825.html \n", "4 http://www.nuforc.org/webreports/165/S165754.html \n", "\n", " text posted \\\n", "0 Viewed some red lights in the sky appearing to... 2021-12-19T00:00:00 \n", "1 Look like 1 or 3 crafts from North traveling s... 2021-12-19T00:00:00 \n", "2 seen dark rectangle moving slowly thru the sky... 2021-12-19T00:00:00 \n", "3 One red light moving switly west to east, beco... 2021-12-19T00:00:00 \n", "4 Bright, circular Fresnel-lens shaped light sev... 2021-12-19T00:00:00 \n", "\n", " city_latitude city_longitude \n", "0 36.356650 -119.347937 \n", "1 39.174503 -84.481363 \n", "2 NaN NaN \n", "3 35.961561 -83.980115 \n", "4 38.798958 -77.095133 " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Чтобы загрузить данные из CSV файла:\n", "\n", "df = pd.read_csv('datasets/nuforc_reports.csv')\n", "df.head()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### Получение сведений о датафрейме с данными" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 136940 entries, 0 to 136939\n", "Data columns (total 12 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 summary 136866 non-null object \n", " 1 city 136558 non-null object \n", " 2 state 127595 non-null object \n", " 3 date_time 134272 non-null object \n", " 4 shape 131018 non-null object \n", " 5 duration 130448 non-null object \n", " 6 stats 136940 non-null object \n", " 7 report_link 136940 non-null object \n", " 8 text 136902 non-null object \n", " 9 posted 134272 non-null object \n", " 10 city_latitude 110136 non-null float64\n", " 11 city_longitude 110136 non-null float64\n", "dtypes: float64(2), object(10)\n", "memory usage: 12.5+ MB\n" ] }, { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
city_latitudecity_longitude
count110136.000000110136.000000
mean38.704608-95.185792
std5.75218618.310088
min-32.055500-170.494000
25%34.238375-113.901810
50%39.257500-89.161450
75%42.317739-80.363444
max64.845276130.850580
\n", "
" ], "text/plain": [ " city_latitude city_longitude\n", "count 110136.000000 110136.000000\n", "mean 38.704608 -95.185792\n", "std 5.752186 18.310088\n", "min -32.055500 -170.494000\n", "25% 34.238375 -113.901810\n", "50% 39.257500 -89.161450\n", "75% 42.317739 -80.363444\n", "max 64.845276 130.850580" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Получить общую информацию о датафрейме можно с помощью:\n", "df.info()\n", "#Для получения статистического описания числовых колонок:\n", "df.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### Получение сведений о колонках датафрейма" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['summary', 'city', 'state', 'date_time', 'shape', 'duration', 'stats',\n", " 'report_link', 'text', 'posted', 'city_latitude', 'city_longitude'],\n", " dtype='object')\n" ] } ], "source": [ "#Вывести названия колонок:\n", "print(df.columns)\n", "\n", "#Получить уникальные значения в колонке:\n", "unique_values = df['city'].unique()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### Вывод отельных строки и столбцов из датафрейма" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "\n", "#Для вывода отдельных строк можно использовать iloc или loc:\n", "\n", "# Вывод первой строки\n", "first_row = df.iloc[0]\n", "\n", "# Вывод строк с 0 по 4\n", "first_five_rows = df.iloc[0:5]\n", "\n", "# Вывод по метке индекса\n", "row_by_label = df.loc[0]\n", "\n", "# Вывод определенного столбца\n", "specific_column = df['city']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### Группировка и агрегация данных в датафрейме" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "#Для группировки данных можно использовать groupby:\n", "grouped = df.groupby('city').agg({'state': 'sum'})" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### сортировка данных в датафрейме" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "#Для сортировки данных по определенной колонке:\n", "sorted_df = df.sort_values(by='city', ascending=True)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### удаление строк/столбцов" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "#Для удаления строк:\n", "\n", "# Удаление строки по индексу\n", "df = df.drop(24)\n", "\n", "# Удаление нескольких строк\n", "df = df.drop([1, 2, 3])\n", "\n", "\n", "#Для удаления столбцов:\n", "\n", "# Удаление столбца\n", "df = df.drop(\"summary\", axis=1)\n", "\n", "# Удаление нескольких столбцов\n", "df = df.drop(['shape', 'duration'], axis=1)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### создание новых столбцов на основе данных из существующих столбцов датафрейма" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "#Создание нового столбца на основе существующих:\n", "df['new_columnStateCity'] = df['state'] + df['city']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### удаление строк с пустыми значениями" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "#Для удаления строк с хотя бы одним пустым значением:\n", "df = df.dropna()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### заполнение пустых значений на основе существующих данных" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "# Заполнение средним значением\n", "df['city_latitude'] = df['city_latitude'].fillna(df['city_latitude'].mean())\n", "\n", "# Заполнение фиксированным значением\n", "df['state'] = df['state'].fillna(0)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "##### Линейная диаграмма (plot)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "df = pd.read_csv('datasets/nuforc_reports.csv')\n", "\n", "# Пример: Линейная диаграмма количества отчетов по годам\n", "df['year'] = pd.to_datetime(df['date_time']).dt.year\n", "yearly_counts = df['year'].value_counts().sort_index()\n", "\n", "plt.plot(yearly_counts.index, yearly_counts.values)\n", "plt.title('Количество UFO отчетов по годам')\n", "plt.xlabel('Год')\n", "plt.ylabel('Количество отчетов')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Пример: Столбчатая диаграмма количества отчетов по штатам\n", "state_counts = df['state'].value_counts().head(15)\n", "\n", "state_counts.plot(kind='bar')\n", "plt.title('Топ-10 штатов по количеству UFO отчетов')\n", "plt.xlabel('Штат')\n", "plt.ylabel('Количество отчетов')\n", "plt.xticks(rotation=45)\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "# Гистограмма распределения географической широты\n", "plt.hist(df['city_latitude'].dropna(), bins=30, color='blue', alpha=0.7)\n", "plt.title('Гистограмма широты города')\n", "plt.xlabel('Широта')\n", "plt.ylabel('Частота')\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": "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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Пример: Диаграмма рассеяния по координатам географической широты\n", "plt.scatter(df['city_longitude'].dropna(), df['city_latitude'].dropna(), alpha=0.5)\n", "plt.title('Диаграмма рассеяния UFO наблюдений по координатам')\n", "plt.xlabel('Долгота')\n", "plt.ylabel('Широта')\n", "plt.show()" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.0" } }, "nbformat": 4, "nbformat_minor": 2 }