How to use 'look for all column contains null values pandas' in Python
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20 def none_missing(df, columns=None): 21 """ 22 Asserts that there are no missing values (NaNs) in the DataFrame. 23 24 Parameters 25 ---------- 26 df : DataFrame 27 columns : list 28 list of columns to restrict the check to 29 30 Returns 31 ------- 32 df : DataFrame 33 same as the original 34 """ 35 if columns is None: 36 columns = df.columns 37 try: 38 assert not df[columns].isnull().any().any() 39 except AssertionError as e: 40 missing = df[columns].isnull() 41 msg = generic.bad_locations(missing) 42 e.args = msg 43 raise 44 return df
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26 def value_is_null(var_value): 27 """Check if the value is None or NaN.""" 28 return var_value is None or pd.isna(var_value)