treat as pandas regression x != x

chatlib/chatlib.py

@@ -572,7 +572,7 @@ def clean_validate_df(df):
     if df['Tricks'].isna().any():
         print_to_log_info('NaN Tricks:\n',df[df['Tricks'].isna()][['Board','Contract','BidLvl','BidSuit','Dbl','Declarer_Direction','Score_NS','Score_EW','Tricks','Result','scores_l']])
     df['Tricks'] = df['Tricks'].astype('UInt8')
-    assert df['Tricks'].map(lambda x: (x != x) or (0 <= x <= 13)).all() # hmmm, x != x is the only thing which works? x is None and x is pd.NA does not work.
+    assert df['Tricks'].map(lambda x: (x != x) or (x is pd.NA) or (0 <= x <= 13)).all() # hmmm, x != x is the only thing which works? pandas regression? x is None and x is pd.NA does not work.
 
     df['Round'].fillna(0,inplace=True) # player numbers are sometimes missing. fill with 0.