Python pandas date_range 生成时间序列

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Pandas date_range 生成时间序列

import pandas as pd # 生成时间序列 pd.date_range('20210715',periods=30) DatetimeIndex(['2021-07-15', '2021-07-16', '2021-07-17', '2021-07-18', '2021-07-19', '2021-07-20', '2021-07-21', '2021-07-22', '2021-07-23', '2021-07-24', '2021-07-25', '2021-07-26', '2021-07-27', '2021-07-28', '2021-07-29', '2021-07-30', '2021-07-31', '2021-08-01', '2021-08-02', '2021-08-03', '2021-08-04', '2021-08-05', '2021-08-06', '2021-08-07', '2021-08-08', '2021-08-09', '2021-08-10', '2021-08-11', '2021-08-12', '2021-08-13'], dtype='datetime64[ns]', freq='D')

help

help(pd.date_range) Help on function date_range in module pandas.core.indexes.datetimes: date_range(start=None, end=None, periods=None, freq=None, tz=None, normalize=False, name=None, closed=None, **kwargs) -> pandas.core.indexes.datetimes.DatetimeIndex Return a fixed frequency DatetimeIndex. Parameters ---------- start : str or datetime-like, optional Left bound for generating dates. end : str or datetime-like, optional Right bound for generating dates. periods : int, optional Number of periods to generate. freq : str or DateOffset, default 'D' Frequency strings can have multiples, e.g. '5H'. See :ref:`here ` for a list of frequency aliases. tz : str or tzinfo, optional Time zone name for returning localized DatetimeIndex, for example 'Asia/Hong_Kong'. By default, the resulting DatetimeIndex is timezone-naive. normalize : bool, default False Normalize start/end dates to midnight before generating date range. name : str, default None Name of the resulting DatetimeIndex. closed : {None, 'left', 'right'}, optional Make the interval closed with respect to the given frequency to the 'left', 'right', or both sides (None, the default). **kwargs For compatibility. Has no effect on the result. Returns ------- rng : DatetimeIndex ......

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