DAT_Projekt/notebooks/bikes.ipynb

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{
"cells": [
{
"cell_type": "code",
"execution_count": 5,
"id": "ea7d1a2b",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cf4ab2b6",
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/tmp/ipykernel_423165/1595929334.py:4: DtypeWarning: Columns (10,11,14,15,16) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" dfyear = pd.read_csv(f'../data/tageswerte_pro_Jahr/fahrradzaehler_tageswerten_20{year}.csv', delimiter=',')\n",
"/tmp/ipykernel_423165/1595929334.py:4: DtypeWarning: Columns (10,11,14,15,16) have mixed types. Specify dtype option on import or set low_memory=False.\n",
" dfyear = pd.read_csv(f'../data/tageswerte_pro_Jahr/fahrradzaehler_tageswerten_20{year}.csv', delimiter=',')\n"
]
}
],
"source": [
"yearly_avg_ma = []\n",
"years=[]\n",
"for year in range(14,25):\n",
" dfyear = pd.read_csv(f'../data/tageswerte_pro_Jahr/fahrradzaehler_tageswerten_20{year}.csv', delimiter=',')\n",
" dfyear_ma = dfyear[dfyear[\"domain_name\"] == 'Stadt Mannheim']\n",
" yearly_avg_ma.append(np.mean(dfyear_ma[\"channels_all\"]))\n",
" years.append(f\"20{year}\")\n",
"\n",
"plot_data = pd.DataFrame({\n",
" 'Year': years,\n",
" 'Average': yearly_avg_ma\n",
"})"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "a175b2c5",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# WICHTIG Hier kommt der Absturz des Mittelwerts dadurch, dass mehr Zählstationen hinzugefügt wurden, die nicht an einem Hotspot standen, also Mittelwert sinkt.\n",
"sns.set(style=\"whitegrid\")\n",
"\n",
"# Create a line plot or bar plot\n",
"plt.figure(figsize=(10, 6))\n",
"sns.lineplot(x='Year', y='Average', data=plot_data, marker='o')\n",
"\n",
"# Optional: Customize the plot further\n",
"plt.title(\"Yearly Average of Tracked Bikes in Mannheim\", fontsize=16)\n",
"plt.xlabel(\"Year\", fontsize=12)\n",
"plt.ylabel(\"Average Number of bikes\", fontsize=12)\n",
"\n",
"# Show the plot\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "e5404b07",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" operator_name domain_name domain_id counter_site \\\n",
"3285 Eco Counter GmbH Stadt Mannheim 4197 Renzstraße \n",
"3286 Eco Counter GmbH Stadt Mannheim 4197 Renzstraße \n",
"3287 Eco Counter GmbH Stadt Mannheim 4197 Renzstraße \n",
"3288 Eco Counter GmbH Stadt Mannheim 4197 Renzstraße \n",
"3289 Eco Counter GmbH Stadt Mannheim 4197 Renzstraße \n",
"... ... ... ... ... \n",
"10945 Eco Counter GmbH Stadt Mannheim 4197 Kurpfalzbrücke \n",
"10946 Eco Counter GmbH Stadt Mannheim 4197 Kurpfalzbrücke \n",
"10947 Eco Counter GmbH Stadt Mannheim 4197 Kurpfalzbrücke \n",
"10948 Eco Counter GmbH Stadt Mannheim 4197 Kurpfalzbrücke \n",
"10949 Eco Counter GmbH Stadt Mannheim 4197 Kurpfalzbrücke \n",
"\n",
" counter_site_id counter_serial longitude latitude \\\n",
"3285 100013246 YTH21025244 8.481114 49.490270 \n",
"3286 100013246 YTH21025244 8.481114 49.490270 \n",
"3287 100013246 YTH21025244 8.481114 49.490270 \n",
"3288 100013246 YTH21025244 8.481114 49.490270 \n",
"3289 100013246 YTH21025244 8.481114 49.490270 \n",
"... ... ... ... ... \n",
"10945 100043761 YTH18116954 8.472163 49.494099 \n",
"10946 100043761 YTH18116954 8.472163 49.494099 \n",
"10947 100043761 YTH18116954 8.472163 49.494099 \n",
"10948 100043761 YTH18116954 8.472163 49.494099 \n",
"10949 100043761 YTH18116954 8.472163 49.494099 \n",
"\n",
" timezone iso_timestamp channels_in \\\n",
"3285 (UTC+01:00) Europe/Paris DST 2019-01-01T00:00:00+01:00 318 \n",
"3286 (UTC+01:00) Europe/Paris DST 2019-01-02T00:00:00+01:00 1050 \n",
"3287 (UTC+01:00) Europe/Paris DST 2019-01-03T00:00:00+01:00 931 \n",
"3288 (UTC+01:00) Europe/Paris DST 2019-01-04T00:00:00+01:00 1036 \n",
"3289 (UTC+01:00) Europe/Paris DST 2019-01-05T00:00:00+01:00 509 \n",
"... ... ... ... \n",
"10945 (UTC+01:00) Europe/Paris DST 2019-12-27T00:00:00+01:00 1180 \n",
"10946 (UTC+01:00) Europe/Paris DST 2019-12-28T00:00:00+01:00 1232 \n",
"10947 (UTC+01:00) Europe/Paris DST 2019-12-29T00:00:00+01:00 715 \n",
"10948 (UTC+01:00) Europe/Paris DST 2019-12-30T00:00:00+01:00 1362 \n",
"10949 (UTC+01:00) Europe/Paris DST 2019-12-31T00:00:00+01:00 925 \n",
"\n",
" channels_out channels_unknown channels_all site_temperature \\\n",
"3285 348 na 666 4.5 \n",
"3286 1002 na 2052 3.5 \n",
"3287 866 na 1797 2.5 \n",
"3288 954 na 1990 2.5 \n",
"3289 506 na 1015 5.0 \n",
"... ... ... ... ... \n",
"10945 1282 na 2462 5.5 \n",
"10946 1325 na 2557 3.5 \n",
"10947 786 na 1501 2.0 \n",
"10948 1534 na 2896 1.5 \n",
"10949 1029 na 1954 2.5 \n",
"\n",
" site_rain_accumulation site_snow_accumulation \n",
"3285 0.8 0.0 \n",
"3286 0.8 0.0 \n",
"3287 0.1 0.1 \n",
"3288 0.3 0.0 \n",
"3289 11.1 0.0 \n",
"... ... ... \n",
"10945 1.4 0.0 \n",
"10946 0.0 0.0 \n",
"10947 0.0 0.0 \n",
"10948 0.0 0.0 \n",
"10949 0.0 0.0 \n",
"\n",
"[2555 rows x 17 columns]\n"
]
}
],
"source": [
"# getrackte Räder nach channel site, also Standort der Zählstation im Jahr 2014\n",
"df15 = pd.read_csv(f'../data/tageswerte_pro_Jahr/fahrradzaehler_tageswerten_2019.csv', delimiter=',')\n",
"df15_ma = df15[df15[\"domain_name\"] == 'Stadt Mannheim']\n",
"print(df15_ma)\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "dat (3.12.3)",
"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": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}