pandas.DataFrame.add

DataFrame.add(other, axis='columns', level=None, fill_value=None)

Binary operator add 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