pd.Series.apply

• pandas.Series.applyf(func, convert_dtype=True, args=(), **kwargs)

Supported Arguments

argument	datatypes	other requirements
func	Additional arguments for func can be passed as additional arguments.	JIT function or callable defined within a JIT function Numpy ufunc Constant String which is the name of a supported Series method or Numpy ufunc

Example Usage

>>> @bodo.jit
... def f(S):
...   return S.apply(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