DAT_Projekt/data/hourly.py

29 lines
1.0 KiB
Python
Executable File

# script to get hourly counters from 2014-present
import requests
import gzip
import shutil
import os
import glob
import pandas as pd
def main():
for year in range(2014,2026):
for month in range(1,13):
month = str(month) if len(str(month))==2 else f"0{month}"
year_month = f"{year}{month}"
url = f"https://mobidata-bw.de/daten/eco-counter/v2/fahrradzaehler_stundenwerten_{year_month}.csv.gz"
os.makedirs("hourly_archives",exist_ok=True)
filename = url.split("/")[-1]
with open(f"hourly_archives/{filename}", "wb") as f:
r = requests.get(url)
f.write(r.content)
os.makedirs("stundenwerte", exist_ok=True)
with gzip.open(f"hourly_archives/{filename}", 'rb') as f_in:
f_name = "stundenwerte/"+filename.split(".")[0]
with open(f"{f_name}.csv", 'wb') as f_out:
shutil.copyfileobj(f_in, f_out)
if __name__ == "__main__":
main()