pyspark.pandas.Series.mul¶

Series.mul(other: Any) → pyspark.pandas.series.Series[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

Series.rmul

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

pyspark.pandas.Series.div

pyspark.pandas.Series.radd