pandas.Series.mul

Series.mul(other, level=None, fill_value=None, axis=0)

Multiplication of series and other, element-wise (binary operator mul).

Equivalent to series * other, but with support to substitute a fill_value for missing data in one of the inputs.

Parameters:

other : Series or scalar value

fill_value : None or float value, default None (NaN)

Fill existing missing (NaN) values, and any new element needed for successful Series alignment, with this value before computation. If data in both corresponding Series locations is missing the result will be missing

level : int or name

Broadcast across a level, matching Index values on the passed MultiIndex level

Returns:

result : Series

See also

Series.rmul

Examples

>>> a = pd.Series([1, 1, 1, np.nan], index=['a', 'b', 'c', 'd'])
>>> a
a    1.0
b    1.0
c    1.0
d    NaN
dtype: float64
>>> b = pd.Series([1, np.nan, 1, np.nan], index=['a', 'b', 'd', 'e'])
>>> b
a    1.0
b    NaN
d    1.0
e    NaN
dtype: float64
>>> a.add(b, fill_value=0)
a    2.0
b    1.0
c    1.0
d    1.0
e    NaN
dtype: float64