The NaN values in pandas are semantically NULL; when you write them as NaN they are no longer considered to be NULL by other systems. So pd.isnull(value) will yield different results from ISNULL(value) in Spark/Hive/Impala/Presto/Drill/etc. Member martindurant commented Apr 7, 2017 "T...
Setting values on a copy of a slice from a dataframe Removing newlines from messy strings in pandas dataframe cells pd.NA vs np.nan for pandas Pandas rank by column value Pandas: selecting rows whose column value is null / None / nan ...
values, gapped_light_score - score_tool.score_adjustments["L"])) self.assertTrue(np.allclose(raw_data["term_del_scores"].tolist(), [score_tool.score_seq(s, mask_term_dels=True) for s in raw_data["sequences"].tolist() ])) og_term_del_scores = raw_data["term_del_scores"]....