xorbits.pandas.Series.mul#
- Series.mul(other, level=None, fill_value=None, axis=0)#
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
other (Series or scalar value) –
level (int or name) – Broadcast across a level, matching Index values on the passed MultiIndex level.
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 of filling (at that location) will be missing.
axis ({0 or 'index'}) – Unused. Parameter needed for compatibility with DataFrame.
- Returns
The result of the operation.
- Return type
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
This docstring was copied from pandas.core.series.Series.