show rows with a null value pandas
df1 = df[df.isna().any(axis=1)]
show rows with a null value pandas
df1 = df[df.isna().any(axis=1)]
find nan value in dataframe python
# to mark NaN column as True
df['your column name'].isnull()
to detect if a data frame has nan values
df.isnull().sum().sum()
5
to detect if a data frame has nan values
> df.isnull().any().any()
True
check null dataframe
df.isnull().sum()
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