remove some logging, improve null check

Author: ahjyrkia

python/common/recluster.py

@@ -476,10 +476,8 @@ def ui_related_var_modifications(df: pd.DataFrame, seasons_and_months: dict, DEP
         pd.DataFrame: clusters with ui related variables
     """
     df["tst_median"] = pd.to_datetime(df["tst_median"], format="%Y-%m-%d %H:%M:%S", errors="coerce")
-    logger.debug(df["tst_median"])
     df["year"] = df["tst_median"].dt.year
     df["season"] = df["tst_median"].dt.month.map(lambda x: get_season(x, seasons_and_months))
-    logger.debug(df["season"])
     for k, v in DCLASS_NAMES.items():
         df["dclass"] = df["dclass"].replace(k, v)
 

python/common/utils.py

@@ -1,3 +1,4 @@
+import pandas as pd
 import logging as logger
 from datetime import date, datetime, timedelta, timezone
 from typing import Tuple
@@ -55,7 +56,7 @@ def get_target_oday(offset=1):
 def get_season(month, seasons_and_months):
     logger.debug(month)
     logger.debug(seasons_and_months)
-    if month is None:
+    if month is None or pd.isna(month):
         return None
 
     key = [key for key, val in seasons_and_months.items() if month in val][0]