Explicitly specify grouping column in dataframe iteration

main.py

@@ -70,7 +70,7 @@ for bus, df in DATA.items():
     df = df.sort_values(['Formatted_ID', 'Timestamp'], kind='stable')
 
     grouped = {}
-    for can_id, group in df.groupby('Formatted_ID'):
+    for can_id, group in df.groupby(by='Formatted_ID'):
         byte_cols = [f"b{i}" for i in range(8) if f"b{i}" in group.columns]
         if not group.empty and len(byte_cols) > 0:
             arr = group[byte_cols].to_numpy(dtype=np.float32, copy=False)