pandas.DataFrame.mul¶
- DataFrame.mul(other, axis='columns', level=None, fill_value=None)¶
Binary operator multiply with support to substitute a fill_value for missing data in one of the inputs
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
Mismatched indices will be unioned together
result : DataFrame