From a6326b8e8a10470444e327844aa0e772eb3922aa Mon Sep 17 00:00:00 2001 From: s452662 Date: Mon, 20 Mar 2023 13:35:46 +0100 Subject: [PATCH] add lab02 file --- lab02.ipynb | 1030 +++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 1030 insertions(+) create mode 100644 lab02.ipynb diff --git a/lab02.ipynb b/lab02.ipynb new file mode 100644 index 0000000..29608cd --- /dev/null +++ b/lab02.ipynb @@ -0,0 +1,1030 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "history_visible": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "SXcGWK6GBeDz", + "outputId": "ff6683a6-819f-4a8e-d2cc-b5b1871719f8" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Warning: Your Kaggle API key is readable by other users on this system! To fix this, you can run 'chmod 600 /root/.kaggle/kaggle.json'\n", + "Downloading car-prices-poland.zip to /content\n", + " 0% 0.00/1.64M [00:00=2.8.1 in /usr/local/lib/python3.9/dist-packages (from pandas) (2.8.2)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.9/dist-packages (from pandas) (2022.7.1)\n", + "Requirement already satisfied: numpy>=1.18.5 in /usr/local/lib/python3.9/dist-packages (from pandas) (1.22.4)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.9/dist-packages (from python-dateutil>=2.8.1->pandas) (1.15.0)\n", + "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n", + "Requirement already satisfied: seaborn in /usr/local/lib/python3.9/dist-packages (0.12.2)\n", + "Requirement already satisfied: pandas>=0.25 in /usr/local/lib/python3.9/dist-packages (from seaborn) (1.4.4)\n", + "Requirement already satisfied: matplotlib!=3.6.1,>=3.1 in /usr/local/lib/python3.9/dist-packages (from seaborn) (3.7.1)\n", + "Requirement already satisfied: numpy!=1.24.0,>=1.17 in /usr/local/lib/python3.9/dist-packages (from seaborn) (1.22.4)\n", + "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (23.0)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.9/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (2.8.2)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.4.4)\n", + "Requirement already satisfied: importlib-resources>=3.2.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (5.12.0)\n", + "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (3.0.9)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.9/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (0.11.0)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (4.39.0)\n", + "Requirement already satisfied: contourpy>=1.0.1 in /usr/local/lib/python3.9/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (1.0.7)\n", + "Requirement already satisfied: pillow>=6.2.0 in /usr/local/lib/python3.9/dist-packages (from matplotlib!=3.6.1,>=3.1->seaborn) (8.4.0)\n", + "Requirement already satisfied: pytz>=2020.1 in /usr/local/lib/python3.9/dist-packages (from pandas>=0.25->seaborn) (2022.7.1)\n", + "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.9/dist-packages (from importlib-resources>=3.2.0->matplotlib!=3.6.1,>=3.1->seaborn) (3.15.0)\n", + "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.9/dist-packages (from python-dateutil>=2.7->matplotlib!=3.6.1,>=3.1->seaborn) (1.15.0)\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "cars = pd.read_csv('Car_Prices_Poland_Kaggle.csv')" + ], + "metadata": { + "id": "YWOwBUSMFLkI" + }, + "execution_count": 8, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "cars.describe(include='all')" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 458 + }, + "id": "juZ7gGxSFkyn", + "outputId": "4ab59d9c-a016-45af-aef5-1cb76a8543ab" + }, + "execution_count": 9, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Unnamed: 0 mark model generation_name year \\\n", + "count 117927.000000 117927 117927 87842 117927.000000 \n", + "unique NaN 23 328 364 NaN \n", + "top NaN audi astra gen-8p-2003-2012 NaN \n", + "freq NaN 12031 3331 1567 NaN \n", + "mean 58963.000000 NaN NaN NaN 2012.925259 \n", + "std 34042.736935 NaN NaN NaN 5.690135 \n", + "min 0.000000 NaN NaN NaN 1945.000000 \n", + "25% 29481.500000 NaN NaN NaN 2009.000000 \n", + "50% 58963.000000 NaN NaN NaN 2013.000000 \n", + "75% 88444.500000 NaN NaN NaN 2018.000000 \n", + "max 117926.000000 NaN NaN NaN 2022.000000 \n", + "\n", + " mileage vol_engine fuel city province \\\n", + "count 1.179270e+05 117927.000000 117927 117927 117927 \n", + "unique NaN NaN 6 4427 23 \n", + "top NaN NaN Gasoline Warszawa Mazowieckie \n", + "freq NaN NaN 61597 7972 22219 \n", + "mean 1.409768e+05 1812.057782 NaN NaN NaN \n", + "std 9.236936e+04 643.613438 NaN NaN NaN \n", + "min 0.000000e+00 0.000000 NaN NaN NaN \n", + "25% 6.700000e+04 1461.000000 NaN NaN NaN \n", + "50% 1.462690e+05 1796.000000 NaN NaN NaN \n", + "75% 2.030000e+05 1995.000000 NaN NaN NaN \n", + "max 2.800000e+06 7600.000000 NaN NaN NaN \n", + "\n", + " price \n", + "count 1.179270e+05 \n", + "unique NaN \n", + "top NaN \n", + "freq NaN \n", + "mean 7.029988e+04 \n", + "std 8.482458e+04 \n", + "min 5.000000e+02 \n", + "25% 2.100000e+04 \n", + "50% 4.190000e+04 \n", + "75% 8.360000e+04 \n", + "max 2.399900e+06 " + ], + "text/html": [ + "\n", + "
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"9b44de1d-7776-40f0-b1a9-eac0d08b52b1" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " Unnamed: 0 mark model generation_name year mileage \\\n", + "0 0 opel combo gen-d-2011 2015 139568 \n", + "1 1 opel combo gen-d-2011 2018 31991 \n", + "2 2 opel combo gen-d-2011 2015 278437 \n", + "3 3 opel combo gen-d-2011 2016 47600 \n", + "4 4 opel combo gen-d-2011 2014 103000 \n", + "... ... ... ... ... ... ... \n", + "117922 117922 volvo xc-90 gen-ii-2014-xc-90 2020 40000 \n", + "117923 117923 volvo xc-90 gen-ii-2014-xc-90 2017 51000 \n", + "117924 117924 volvo xc-90 gen-ii-2014-xc-90 2016 83500 \n", + "117925 117925 volvo xc-90 gen-ii-2014-xc-90 2017 174000 \n", + "117926 117926 volvo xc-90 gen-ii-2014-xc-90 2016 189020 \n", + "\n", + " vol_engine fuel city province price \n", + "0 0.164211 Diesel Janki Mazowieckie 35900 \n", + "1 0.197237 Diesel Katowice Śląskie 78501 \n", + "2 0.210263 Diesel Brzeg Opolskie 27000 \n", + "3 0.164211 Diesel Korfantów Opolskie 30800 \n", + "4 0.184211 CNG Tarnowskie Góry Śląskie 35900 \n", + "... ... ... ... ... ... \n", + "117922 0.259079 Hybrid Katowice Śląskie 222790 \n", + "117923 0.259079 Diesel Chechło Pierwsze Łódzkie 229900 \n", + "117924 0.259079 Gasoline Pruszcz Gdański Pomorskie 135000 \n", + "117925 0.259079 Diesel Kalisz Wielkopolskie 154500 \n", + "117926 0.259079 Gasoline Sionna Mazowieckie 130000 \n", + "\n", + "[117926 rows x 11 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import sklearn\n", + "import sklearn.model_selection\n", + "cars_train, cars_test = sklearn.model_selection.train_test_split(cars_normalized, test_size=23586, random_state=1)\n", + "cars_train[\"province\"].value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "PZwsQwgeSoHb", + "outputId": "8972c3e2-344b-482a-addf-23a799fbb3fb" + }, + "execution_count": 14, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Mazowieckie 17750\n", + "Śląskie 13441\n", + "Wielkopolskie 11162\n", + "Małopolskie 7796\n", + "Dolnośląskie 7092\n", + "Łódzkie 6303\n", + "Pomorskie 6094\n", + "Kujawsko-pomorskie 4256\n", + "Lubelskie 3775\n", + "Zachodniopomorskie 3165\n", + "Podkarpackie 2826\n", + "Świętokrzyskie 2657\n", + "Warmińsko-mazurskie 2375\n", + "Lubuskie 2220\n", + "Podlaskie 1716\n", + "Opolskie 1679\n", + "Moravian-Silesian Region 27\n", + "Wiedeń 2\n", + "Berlin 2\n", + "Trenczyn 1\n", + "Niedersachsen 1\n", + "Name: province, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 14 + } + ] + }, + { + "cell_type": "code", + "source": [ + "cars_dev, cars_test = sklearn.model_selection.train_test_split(cars_test, test_size=11793, random_state=1)\n", + "cars_dev[\"province\"].value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-ec5RLaXTgWK", + "outputId": "227a54eb-6c8f-4faf-c38b-cd3147202e92" + }, + "execution_count": 15, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Mazowieckie 2261\n", + "Śląskie 1666\n", + "Wielkopolskie 1418\n", + "Małopolskie 948\n", + "Dolnośląskie 867\n", + "Łódzkie 775\n", + "Pomorskie 766\n", + "Kujawsko-pomorskie 532\n", + "Lubelskie 504\n", + "Zachodniopomorskie 396\n", + "Podkarpackie 365\n", + "Świętokrzyskie 353\n", + "Warmińsko-mazurskie 282\n", + "Lubuskie 263\n", + "Opolskie 199\n", + "Podlaskie 192\n", + "Moravian-Silesian Region 4\n", + "Nordrhein-Westfalen 1\n", + "Berlin 1\n", + "Name: province, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 15 + } + ] + }, + { + "cell_type": "code", + "source": [ + "\n", + "cars_test[\"province\"].value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2VwezzlzUvZd", + "outputId": "5dece8a2-2d6b-4a25-fda5-be7c85b4765d" + }, + "execution_count": 16, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Mazowieckie 2208\n", + "Śląskie 1599\n", + "Wielkopolskie 1436\n", + "Małopolskie 1012\n", + "Dolnośląskie 879\n", + "Łódzkie 806\n", + "Pomorskie 745\n", + "Kujawsko-pomorskie 583\n", + "Lubelskie 461\n", + "Zachodniopomorskie 402\n", + "Podkarpackie 362\n", + "Świętokrzyskie 327\n", + "Warmińsko-mazurskie 299\n", + "Lubuskie 260\n", + "Podlaskie 215\n", + "Opolskie 195\n", + "Moravian-Silesian Region 4\n", + "Name: province, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 16 + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Ilość wartości w zbiorach\n", + "print(cars_normalized.size)\n", + "print(cars_train.size)\n", + "print(cars_dev.size)\n", + "print(cars_test.size)" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "sprjCCXTV8W0", + "outputId": "3b12b8c4-279f-4751-f801-e97d2c81c01b" + }, + "execution_count": 17, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "1297186\n", + "1037740\n", + "129723\n", + "129723\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Średnie wartości parametrów\n", + "print(cars_normalized['price'].mean())\n", + "print(cars_train['price'].mean())\n", + "print(cars_dev['price'].mean())\n", + "print(cars_test['price'].mean())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "TjvBBTAsXbUK", + "outputId": "644543bb-acb6-4bda-de01-ab92514b7de8" + }, + "execution_count": 18, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "70299.94754337466\n", + "70432.62519609921\n", + "69244.09963537692\n", + "70294.41923174764\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Najmniejsze ceny pojazdów\n", + "print(cars_normalized['price'].min())\n", + "print(cars_train['price'].min())\n", + "print(cars_dev['price'].min())\n", + "print(cars_test['price'].min())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "GJI2qf-1YLbp", + "outputId": "20aec129-96c9-4adb-f3cb-25db4b2dc207" + }, + "execution_count": 19, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "500\n", + "500\n", + "1250\n", + "900\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Największe ceny pojazdów\n", + "print(cars_normalized['price'].max())\n", + "print(cars_train['price'].max())\n", + "print(cars_dev['price'].max())\n", + "print(cars_test['price'].max())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Ve8Cvu7IYx-E", + "outputId": "ec0b0167-74ad-4118-b1c8-734c80cd9d79" + }, + "execution_count": 20, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "2399900\n", + "2399900\n", + "1368341\n", + "1000000\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Odchylenie standardowe\n", + "print(cars_normalized['price'].std())\n", + "print(cars_train['price'].std())\n", + "print(cars_dev['price'].std())\n", + "print(cars_test['price'].std())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "tGDytphgY7oB", + "outputId": "caf5152a-5c5d-42ca-95d5-8aa1afd8d46f" + }, + "execution_count": 21, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "84824.93470827927\n", + "85120.16823252657\n", + "82128.74927832028\n", + "85111.52408658911\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "9JafBXorXIXy" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#Mediany cen pojazdów\n", + "print(cars_normalized['price'].median())\n", + "print(cars_train['price'].median())\n", + "print(cars_dev['price'].median())\n", + "print(cars_test['price'].median())" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "pdmR9mKpU78C", + "outputId": "e0fbd8a5-39b4-441f-8b64-1aaa210ba36c" + }, + "execution_count": 22, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "41900.0\n", + "41900.0\n", + "41901.0\n", + "40900.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Podział według regionów\n", + "cars_normalized[\"province\"].value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "MXSSLTdR-7xP", + "outputId": "7facce01-e2e8-415b-9384-74253f1717d1" + }, + "execution_count": 26, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "Mazowieckie 22219\n", + "Śląskie 16706\n", + "Wielkopolskie 14016\n", + "Małopolskie 9756\n", + "Dolnośląskie 8838\n", + "Łódzkie 7884\n", + "Pomorskie 7605\n", + "Kujawsko-pomorskie 5371\n", + "Lubelskie 4740\n", + "Zachodniopomorskie 3963\n", + "Podkarpackie 3553\n", + "Świętokrzyskie 3337\n", + "Warmińsko-mazurskie 2956\n", + "Lubuskie 2743\n", + "Podlaskie 2123\n", + "Opolskie 2073\n", + "Moravian-Silesian Region 35\n", + "Berlin 3\n", + "Wiedeń 2\n", + "Niedersachsen 1\n", + "Trenczyn 1\n", + "Nordrhein-Westfalen 1\n", + "Name: province, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 26 + } + ] + }, + { + "cell_type": "code", + "source": [ + "#Podział według marki\n", + "cars_normalized[\"mark\"].value_counts()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "XGlwLMbE_Mnf", + "outputId": "fd743df6-2043-45ff-bea1-b19f03869eb8" + }, + "execution_count": 27, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "audi 12031\n", + "opel 11914\n", + "bmw 11070\n", + "volkswagen 10848\n", + "ford 9664\n", + "mercedes-benz 7136\n", + "renault 6976\n", + "skoda 5888\n", + "toyota 5119\n", + "peugeot 5056\n", + "volvo 4384\n", + "hyundai 4032\n", + "kia 3744\n", + "nissan 3072\n", + "fiat 2880\n", + "mazda 2848\n", + "seat 2848\n", + "citroen 2720\n", + "honda 2176\n", + "mitsubishi 1120\n", + "mini 1088\n", + "alfa-romeo 704\n", + "chevrolet 608\n", + "Name: mark, dtype: int64" + ] + }, + "metadata": {}, + "execution_count": 27 + } + ] + }, + { + "cell_type": "markdown", + "source": [], + "metadata": { + "id": "2a30BavmDAzQ" + } + } + ] +} \ No newline at end of file