Python

df[df.isnull().any(axis=1)]

df.isnull().values.any()

df['column_1'].fillna(df['column_2'], inplace=True)

df[df['col'].isnull()]

df['your column name'].isnull().sum()

df['your column name'].isnull().values.any()

# to mark NaN column as True
df['your column name'].isnull()

df['your column name'].isnull().values.any()

df.isnull().sum().sum()

df['your column name'].isnull()

df[df["A_col"].isnull()]

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