pd.Series.map
pandas.Series.map(arg, na_action=None)
Supported Arguments
Example Usage
>>> @bodo.jit
... def f(S):
... return S.map(lambda x: x ** 0.75)
>>> S = pd.Series(np.arange(100))
>>> f(S)
0 0.000000
1 1.000000
2 1.681793
3 2.279507
4 2.828427
...
95 30.429352
96 30.669269
97 30.908562
98 31.147239
99 31.385308
Length: 100, dtype: float64