pandas.DataFrame.multiply¶
- DataFrame.multiply(other, axis='columns', level=None, fill_value=None)¶
- Binary operator mul with support to substitute a fill_value for missing data in one of the inputs - Parameters : - other : Series, DataFrame, or constant - axis : {0, 1, ‘index’, ‘columns’} - For Series input, axis to match Series index on - fill_value : None or float value, default None - Fill missing (NaN) values with this value. If both DataFrame locations are missing, the result will be missing - level : int or name - Broadcast across a level, matching Index values on the passed MultiIndex level - Returns : - result : DataFrame - Notes - Mismatched indices will be unioned together