pd.Series.rpow

Link to Pandas documentation

pandas.Series.rpow(other, level=None, fill_value=None, axis=0)

Argument Restrictions:

• other: must be a numeric scalar or Series, Index, Array, List, or Tuple with numeric data.
• level: only supports default value None.
• fill_value: (optional, defaults to None) must be Integer, Float or Boolean.
• axis: only supports default value 0.

Note

Input must be a Series of Integer or Float data.

Example Usage

>>> @bodo.jit
... def f(S, other):
...   return S.rpow(other)
>>> S = pd.Series(np.arange(1, 1001))
>>> other = pd.Series(reversed(np.arange(1, 1001)))
>>> f(S, other)
0                     1000
1                   998001
2                994011992
3             988053892081
4          980159361278976
              ...
995    3767675092665006833
996                      0
997   -5459658280481875879
998                      0
999                      1
Length: 1000, dtype: int64