pandas.Series.mul#

Series.mul(other, level=None, fill_value=None, axis=0)[source]#

Return 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 either one of the inputs.

Parameters:

otherSeries or scalar value: With which to compute the multiplication.
levelint or name: Broadcast across a level, matching Index values on the passed MultiIndex level.
fill_valuescalar or None, default None: Fill NA values, whether present in the original data or introduced by alignment, with this value before computation. Positions where both inputs are NA are left unfilled and behave as NA does for the operation.
axis{0 or ‘index’}: Unused. Parameter needed for compatibility with DataFrame.

Returns:

Series: The result of the operation.

See also

Series.rmul: Reverse of the Multiplication operator, see Python documentation for more details.

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.multiply(b, fill_value=0)
a    1.0
b    0.0
c    0.0
d    0.0
e    NaN
dtype: float64
>>> a.mul(5, fill_value=0)
a    5.0
b    5.0
c    5.0
d    0.0
dtype: float64