df.isnull().sum() #check where is null in a columns df[df["Business Description"].isnull() == True] is_NaN = df.isnull() row_has_NaN = is_NaN.any(axis=1) rows_with_NaN = df[row_has_NaN] print(rows_with_NaN)
df.isnull().sum() #check where is null in a columns df[df["Business Description"].isnull() == True] is_NaN = df.isnull() row_has_NaN = is_NaN.any(axis=1) rows_with_NaN = df[row_has_NaN] print(rows_with_NaN)