pd.date_range函数

date_range(start=None, end=None, periods=None, freq=None, tz=None, normalize=False, name=None, closed=None, **kwargs)
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 : integer, optional
    Number of periods to generate.
freq : str or DateOffset, default 'D'
    Frequency strings can have multiples, e.g. '5H'. See
    :ref:`here <timeseries.offset_aliases>` 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

>>> pd.date_range(start='1/1/2018', end='1/08/2018')
DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04',
               '2018-01-05', '2018-01-06', '2018-01-07', '2018-01-08'],
              dtype='datetime64[ns]', freq='D')
>>> pd.date_range(start='1/1/2018', periods=8)
DatetimeIndex(['2018-01-01', '2018-01-02', '2018-01-03', '2018-01-04',
               '2018-01-05', '2018-01-06', '2018-01-07', '2018-01-08'],
              dtype='datetime64[ns]', freq='D')
>>> pd.date_range(end='1/1/2018', periods=8)
DatetimeIndex(['2017-12-25', '2017-12-26', '2017-12-27', '2017-12-28',
               '2017-12-29', '2017-12-30', '2017-12-31', '2018-01-01'],
              dtype='datetime64[ns]', freq='D')
>>> pd.date_range(start='2018-04-24', end='2018-04-27', periods=3)
DatetimeIndex(['2018-04-24 00:00:00', '2018-04-25 12:00:00',
               '2018-04-27 00:00:00'],
              dtype='datetime64[ns]', freq=None)
>>> pd.date_range(start='2018-04-24', end='2018-05-27', periods=8)
DatetimeIndex([          '2018-04-24 00:00:00',
               '2018-04-28 17:08:34.285714285',
               '2018-05-03 10:17:08.571428571',
               '2018-05-08 03:25:42.857142857',
               '2018-05-12 20:34:17.142857142',
               '2018-05-17 13:42:51.428571428',
               '2018-05-22 06:51:25.714285714',
                         '2018-05-27 00:00:00'],
              dtype='datetime64[ns]', freq=None)
>>> pd.date_range(start='1/1/2018', periods=5, freq='M')
DatetimeIndex(['2018-01-31', '2018-02-28', '2018-03-31', '2018-04-30',
               '2018-05-31'],
              dtype='datetime64[ns]', freq='M')
>>> pd.date_range(start='1/1/2018', periods=5, freq='3M')
DatetimeIndex(['2018-01-31', '2018-04-30', '2018-07-31', '2018-10-31',
               '2019-01-31'],
              dtype='datetime64[ns]', freq='3M')
>>> pd.date_range(start='1/1/2018', periods=5, freq=pd.offsets.MonthEnd(2))
DatetimeIndex(['2018-01-31', '2018-03-31', '2018-05-31', '2018-07-31',
               '2018-09-30'],
              dtype='datetime64[ns]', freq='2M')
>>> pd.date_range(start='1/1/2018', periods=5, tz='Asia/Tokyo')
DatetimeIndex(['2018-01-01 00:00:00+09:00', '2018-01-02 00:00:00+09:00',
               '2018-01-03 00:00:00+09:00', '2018-01-04 00:00:00+09:00',
               '2018-01-05 00:00:00+09:00'],
              dtype='datetime64[ns, Asia/Tokyo]', freq='D')
>>> pd.date_range(start='2017-01-01', end='2017-01-04', closed=None)
DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03', '2017-01-04'], dtype='datetime64[ns]', freq='D')
>>> pd.date_range(start='2017-01-01', end='2017-01-04', closed='left')
DatetimeIndex(['2017-01-01', '2017-01-02', '2017-01-03'], dtype='datetime64[ns]', freq='D')
>>> pd.date_range(start='2017-01-01', end='2017-01-04', closed='right')
DatetimeIndex(['2017-01-02', '2017-01-03', '2017-01-04'], dtype='datetime64[ns]', freq='D')
>>>

最后编辑于：2019.07.08 16:54:34