pd.Series.first
¶
pandas.Series.first(offset)
Supported Arguments¶
argument | datatypes | other requirements |
---|---|---|
offset |
String or Offset type | String argument be a valid frequency alias |
Note
Series must have a valid DatetimeIndex and is assumed to already be sorted. This function have undefined behavior if the DatetimeIndex is not sorted.
Example Usage¶
>>> @bodo.jit
... def f(S, offset):
... return S.first(offset)
>>> S = pd.Series(np.arange(100), index=pd.date_range(start='1/1/2022', end='12/31/2024', periods=100))
>>> f(S, "2M")
2022-01-01 00:00:00.000000000 0
2022-01-12 01:27:16.363636363 1
2022-01-23 02:54:32.727272727 2
2022-02-03 04:21:49.090909091 3
2022-02-14 05:49:05.454545454 4
2022-02-25 07:16:21.818181818 5
dtype: int64