clean up unnecessary files
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0c611f2a75
commit
3098403b65
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "2f3b328c",
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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"
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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": "b12ab0da",
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"metadata": {},
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"outputs": [],
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"source": [
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"df = pd.read_csv(\"../data/bikesharing/sharing_stations.csv\", delimiter=\",\")\n"
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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": "dat",
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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": "3.12.3"
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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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@ -1,149 +0,0 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Users\\David Gaming\\AppData\\Local\\Temp\\ipykernel_18604\\2711366225.py:8: DtypeWarning: Columns (10,11,14,15,16) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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" df = pd.concat((pd.read_csv(f) for f in all_files), ignore_index=True)\n",
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"C:\\Users\\David Gaming\\AppData\\Local\\Temp\\ipykernel_18604\\2711366225.py:8: DtypeWarning: Columns (10,11,14,15,16) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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" df = pd.concat((pd.read_csv(f) for f in all_files), ignore_index=True)\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" operator_name domain_name domain_id \\\n",
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"0 Eco Counter GmbH Stadt Tübingen 667 \n",
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"1 Eco Counter GmbH Stadt Tübingen 667 \n",
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"2 Eco Counter GmbH Stadt Tübingen 667 \n",
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"3 Eco Counter GmbH Stadt Tübingen 667 \n",
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"4 Eco Counter GmbH Stadt Tübingen 667 \n",
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"\n",
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" counter_site counter_site_id \\\n",
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"0 Fuß- & Radtunnel Südportal - Derendinger Allee 100003358 \n",
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"1 Fuß- & Radtunnel Südportal - Derendinger Allee 100003358 \n",
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"2 Fuß- & Radtunnel Südportal - Derendinger Allee 100003358 \n",
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"3 Fuß- & Radtunnel Südportal - Derendinger Allee 100003358 \n",
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"4 Fuß- & Radtunnel Südportal - Derendinger Allee 100003358 \n",
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"\n",
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" counter_serial longitude latitude timezone \\\n",
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"0 YAH24052174 9.04806 48.518 (UTC+01:00) Europe/Paris DST \n",
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"1 YAH24052174 9.04806 48.518 (UTC+01:00) Europe/Paris DST \n",
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"2 YAH24052174 9.04806 48.518 (UTC+01:00) Europe/Paris DST \n",
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"3 YAH24052174 9.04806 48.518 (UTC+01:00) Europe/Paris DST \n",
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"4 YAH24052174 9.04806 48.518 (UTC+01:00) Europe/Paris DST \n",
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"\n",
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" iso_timestamp channels_in channels_out channels_unknown \\\n",
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"0 2013-06-21T00:00:00+02:00 2844 2647 na \n",
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"1 2013-06-22T00:00:00+02:00 2412 2233 na \n",
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"2 2013-06-23T00:00:00+02:00 1884 1808 na \n",
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"3 2013-06-24T00:00:00+02:00 2072 1878 na \n",
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"4 2013-06-25T00:00:00+02:00 2426 2419 na \n",
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"\n",
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" channels_all site_temperature site_rain_accumulation site_snow_accumulation \n",
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"0 5491 17.5 1.5 0.0 \n",
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"1 4645 16.5 0.2 0.0 \n",
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"2 3692 14.5 0.0 0.0 \n",
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"3 3950 12.5 5.4 0.0 \n",
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"4 4845 11.5 6.0 0.0 \n"
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]
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}
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],
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"source": [
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"\n",
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"import pandas as pd\n",
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"import glob\n",
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"import os\n",
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"\n",
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"path = '../data/tageswerte_pro_Jahr/'\n",
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"all_files = glob.glob(os.path.join(path , \"*.csv\")) #kein plan was das hier genau ist, hab es in Stack Overflow gefunden https://stackoverflow.com/questions/20906474/import-multiple-csv-files-into-pandas-and-concatenate-into-one-dataframe\n",
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"\n",
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"df = pd.concat((pd.read_csv(f) for f in all_files), ignore_index=True)\n",
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"\n",
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"print(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": 9,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" Hotspots Durchschnitt Jahre\n",
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"6 Kurpfalzbrücke 4994.045846\n",
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"10 Renzstraße 3394.062305\n",
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"5 Konrad-Adenauer-Brücke 2120.285610\n",
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"1 Fernmeldeturm. 1828.993555\n",
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"11 Schlosspark Lindenhof (Richtung Jugendherberge) 1333.949980\n",
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"4 Jungbuschbrücke 1104.775576\n",
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"9 Neckarauer Übergang -Schwetzinger Str. 1011.494404\n",
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"7 Lindenhofüberführung 943.561290\n",
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"8 Luzenbergstr. 667.606890\n",
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"3 Feudenheimstr. stadtauswärts 512.098278\n"
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]
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}
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],
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"source": [
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"\n",
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"#Hotspots seit Aufzeichnungsbeginn bis 2025 - gemittelt über die Jahre. \n",
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"# Vllt noch den Vergleich zu den einzelnen Jahren ziehen und zeigen wie es sich verändert hat?!\n",
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"hotspots = (\n",
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" df[df[\"domain_name\"].str.strip() == \"Stadt Mannheim\"]\n",
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" .groupby(\"counter_site\", as_index=False)[\"channels_all\"]\n",
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" .mean()\n",
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" .sort_values(\"channels_all\", ascending=False)\n",
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" .head(10)\n",
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").rename(columns={\n",
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" \"counter_site\": \"Hotspots\",\n",
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" \"channels_all\": \"Durchschnitt Jahre\"\n",
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" })\n",
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"print(hotspots)"
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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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"metadata": {},
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"outputs": [],
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"source": []
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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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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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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": "3.12.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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