pyspark.pandas.Series.rpow

Series.rpow(other)

Return Reverse Exponential power of series and other, element-wise (binary operator **).

Equivalent to other ** series

Parameters

otherSeries or scalar value

fill_valueScalar value, default None

Returns

Series

The result of the operation.

See also

Series.pow

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.pow(df.b)
a     4.0
b     NaN
c    16.0
d     NaN
dtype: float64

>>> df.a.rpow(df.b)
a     4.0
b     NaN
c    16.0
d     NaN
dtype: float64