check if a value in dataframe is nan
#return a subset of the dataframe where the column name value == NaN
df.loc[df['column name'].isnull() == True]check if a value in dataframe is nan
#return a subset of the dataframe where the column name value == NaN
df.loc[df['column name'].isnull() == True]count rows with nan pandas
np.count_nonzero(df.isnull().values)
np.count_nonzero(df.isnull()) # also worksCopyright © 2021 Codeinu
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