pd.Series.rpow

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

Supported Arguments

argument	datatypes
other	numeric scalar array with numeric data Series with numeric data
fill_value	numeric scalar

Note

Series.rpow is only supported on Series of numeric 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