dataframe find nan rows
df[df.isnull().any(axis=1)]
dataframe find nan rows
df[df.isnull().any(axis=1)]
select rows which have nan values python
df[df['column name'].isnull()]
python select columns with no na
df = df[df.columns[~df.isnull().all()]]
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