From 7eb6328839036a6ff6ff2e9611a6cd0795a263d6 Mon Sep 17 00:00:00 2001 From: "a.puchkina" Date: Sat, 28 Sep 2024 09:35:47 +0400 Subject: [PATCH] =?UTF-8?q?=D0=A1=D0=BE=D1=85=D1=80=D0=B0=D0=BD=D0=B8?= =?UTF-8?q?=D1=82=D1=8C=20=D0=B8=D0=B7=D0=BC=D0=B5=D0=BD=D0=B5=D0=BD=D0=B8?= =?UTF-8?q?=D1=8F=20=D0=B2=20lab1.ipynb?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_1/lab1.ipynb | 215 +++++++++++++++++++++++++++-------------------- 1 file changed, 122 insertions(+), 93 deletions(-) diff --git a/lab_1/lab1.ipynb b/lab_1/lab1.ipynb index 9b73b55..99ad430 100644 --- a/lab_1/lab1.ipynb +++ b/lab_1/lab1.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 64, "metadata": {}, "outputs": [ { @@ -28,113 +28,142 @@ ], "source": [ "import pandas as pd \n", + "import matplotlib.pyplot as plt\n", "df = pd.read_csv(\"..//static//csv//mobile phone price prediction.csv\")\n", "print(df.columns)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Средняя стоимость телефона по бренду (перыве 330 строк)" + ] + }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 93, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv(\"..//static//csv//mobile phone price prediction.csv\")\n", + "\n", + "# Функция для преобразования строки в число\n", + "def convert_price(price_str):\n", + " # Удаление запятых и точек, затем преобразование в число\n", + " return int(price_str.replace(',', '').replace('.', ''))\n", + "# Применение функции к столбцу 'Price'\n", + "df['Price'] = df['Price'].apply(convert_price)\n", + "\n", + "df_first_330 = df.head(330)\n", + "\n", + "region_charges = df_first_330.groupby('company')['Price'].mean().reset_index()\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "plt.bar(region_charges['company'], region_charges['Price'], color=['blue', 'green', 'red', 'purple'], alpha=0.7)\n", + "plt.title('Средняя стоимость телефона по бренду (первые 100 строк)')\n", + "plt.xlabel('Компания')\n", + "plt.ylabel('Средняя стоимость телефонв')\n", + "plt.grid(axis='y', linestyle='--', alpha=0.7)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Популярность телефонов определенной компании" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df = pd.read_csv(\"..//static//csv//mobile phone price prediction.csv\")\n", + "\n", + "# Подсчет количества телефонов для каждой компании\n", + "count_per_company = df['company'].value_counts()\n", + "\n", + "# Создание диаграммы\n", + "plt.figure(figsize=(10, 6))\n", + "count_per_company.plot(kind='bar', color='skyblue')\n", + "plt.title('Количество телефонов каждой компании')\n", + "plt.xlabel('Компания')\n", + "plt.ylabel('Количество телефонов')\n", + "plt.xticks(rotation=45)\n", + "plt.grid(axis='y')\n", + "\n", + "# Показать диаграмму\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Средний рейтинг телефонов по компаниям" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'Средний рейтинг')" + ] + }, + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" }, { - "ename": "TypeError", - "evalue": "unsupported operand type(s) for +=: 'int' and 'str'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[68], line 12\u001b[0m\n\u001b[0;32m 10\u001b[0m price \u001b[38;5;241m=\u001b[39m df[df[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcompany\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m==\u001b[39m c_value][\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPrice\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39msum()\n\u001b[0;32m 11\u001b[0m c_total \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m count\n\u001b[1;32m---> 12\u001b[0m \u001b[43mp_total\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mprice\u001b[49m\n\u001b[0;32m 13\u001b[0m \u001b[38;5;28mprint\u001b[39m(c_value, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcount =\u001b[39m\u001b[38;5;124m\"\u001b[39m, count, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m price =\u001b[39m\u001b[38;5;124m\"\u001b[39m, price)\n\u001b[0;32m 14\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mTotal count = \u001b[39m\u001b[38;5;124m\"\u001b[39m, c_total)\n", - "\u001b[1;31mTypeError\u001b[0m: unsupported operand type(s) for +=: 'int' and 'str'" - ] + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "average_prices = df.groupby('company')['Price']\n", - "print(average_prices)\n", + "df = pd.read_csv(\"..//static//csv//mobile phone price prediction.csv\")\n", + "plt.figure(figsize=(15, 5))\n", "\n", - "c_values = df[\"company\"].unique()\n", - "\n", - "c_total = 0\n", - "p_total = 0\n", - "for c_value in c_values:\n", - " count = df[df[\"company\"] == c_value].shape[0]\n", - " price = df[df[\"company\"] == c_value][\"Price\"].sum()\n", - " countrys = df1.groupby(\"Country\").size().reset_index(name=\"Count\")\n", - " c_total += count\n", - " p_total += price\n", - " print(c_value, \"count =\", count, \" price =\", price)\n", - "print(\"Total count = \", c_total)" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " price = 89 6,990\n", - "90 6,999\n", - "91 7,499\n", - "92 7,999\n", - "93 8,033\n", - " ... \n", - "854 36,990\n", - "855 45,215\n", - "856 69,999\n", - "857 68,899\n", - "858 63,490\n", - "Name: Price, Length: 186, dtype: object\n" - ] - } - ], - "source": [ - "count = df[df[\"company\"] == \"Vivo\"].shape[0]\n", - "price = df[df[\"company\"] == \"Vivo\"][\"Price\"].replace(\",\", \"\")\n", - "print(\" price =\", price)" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "ename": "ModuleNotFoundError", - "evalue": "No module named 'matplotlib'", - "output_type": "error", - "traceback": [ - "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[1;32mIn[61], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m \u001b[38;5;66;03m# type: ignore\u001b[39;00m\n\u001b[0;32m 3\u001b[0m df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcompany\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m df[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcompany\u001b[39m\u001b[38;5;124m'\u001b[39m]\u001b[38;5;241m.\u001b[39mstr\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m; \u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 4\u001b[0m df1 \u001b[38;5;241m=\u001b[39m df\u001b[38;5;241m.\u001b[39mexplode(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcompany\u001b[39m\u001b[38;5;124m'\u001b[39m)\n", - "\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'matplotlib'" - ] - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "df['company'] = df['company'].str.split('; ')\n", - "df1 = df.explode('company')\n", - "companys = df1.groupby(\"company\").size().reset_index(name=\"Count\") # type: ignore\n", - "company_counts_sorted = companys.sort_values(by='Count', ascending=False)\n", - "top_countries = company_counts_sorted.head(50)\n", - "\n", - "top_countries.plot.bar(x='company', y='Count', color=['green'])\n", - "plt.title('Top Countries by count of people')\n", - "plt.xlabel('Country')\n", - "plt.ylabel('Number of People')\n", - "plt.show()" + "plt.subplot(1, 3, 1)\n", + "df.groupby('company')['Rating'].mean().plot(kind='bar', color='lightgreen')\n", + "plt.title('Средний рейтинг телефонов по компаниям')\n", + "plt.xlabel('Компания')\n", + "plt.ylabel('Средний рейтинг')" ] } ],