pyspark.pandas.Series.mul#
- Series.mul(other)[source]#
 Return Multiplication of series and other, element-wise (binary operator *).
Equivalent to
series * other- Parameters
 - otherSeries or scalar value
 - fill_valueScalar value, default None
 
- Returns
 - Series
 The result of the operation.
See also
Examples
>>> df = ps.DataFrame({'a': [2, 2, 4, np.nan], ... 'b': [2, np.nan, 2, np.nan]}, ... index=['a', 'b', 'c', 'd'], columns=['a', 'b']) >>> df a b a 2.0 2.0 b 2.0 NaN c 4.0 2.0 d NaN NaN
>>> df.a.multiply(df.b) a 4.0 b NaN c 8.0 d NaN dtype: float64
>>> df.a.rmul(df.b) a 4.0 b NaN c 8.0 d NaN dtype: float64