ran black and isort for sorting imports and reformating

data/combine_hourly.py

@@ -1,16 +1,18 @@
 import glob
-import pandas as pd
 import os
 
+import pandas as pd
+
+
 def main():
-    path = "./stundenwerte/*.csv"    
+    path = "./stundenwerte/*.csv"
     files = glob.glob(path)
     dfs = []
     print("Working", end="", flush=True)
     for file in files:
-        df_temp= pd.read_csv(file,low_memory=False)
+        df_temp = pd.read_csv(file, low_memory=False)
         df_temp["year"] = os.path.basename(file).split("_")[2].split(".")[0]
-        dfs.append(df_temp.astype({"year":int}))
+        dfs.append(df_temp.astype({"year": int}))
         print(".", end="", flush=True)
 
     max_df = pd.concat(dfs, ignore_index=True)
@@ -18,7 +20,7 @@ def main():
     # Mannheim subset
     df_ma = max_df[max_df["domain_name"] == "Stadt Mannheim"]
     df_ma.to_csv("../data/processed/hourly_bikes_mannheim.csv", index=False)
-        
+
 
 if __name__ == "__main__":
-    main()
+    main()

data/hourly.py

@@ -1,29 +1,31 @@
 # script to get hourly counters from 2014-present
-import requests
-import gzip
-import shutil
-import os
 import glob
+import gzip
+import os
+import shutil
+
 import pandas as pd
+import requests
+
 
 def main():
-    for year in range(2014,2026):
+    for year in range(2014, 2026):
-        for month in range(1,13):
+        for month in range(1, 13):
-            month = str(month) if len(str(month))==2 else f"0{month}"
+            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)
+            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:
+            with gzip.open(f"hourly_archives/{filename}", "rb") as f_in:
-                f_name = "stundenwerte/"+filename.split(".")[0]
+                f_name = "stundenwerte/" + filename.split(".")[0]
-                with open(f"{f_name}.csv", 'wb') as f_out:
+                with open(f"{f_name}.csv", "wb") as f_out:
                     shutil.copyfileobj(f_in, f_out)
 
 
 if __name__ == "__main__":
-    main()
+    main()