xorbits.pandas.Series.dt.normalize#

Series.dt.normalize(*args, **kwargs)#

Convert times to midnight.

The time component of the date-time is converted to midnight i.e. 00:00:00. This is useful in cases, when the time does not matter. Length is unaltered. The timezones are unaffected.

This method is available on Series with datetime values under the .dt accessor, and directly on Datetime Array/Index.

返回: The same type as the original data. Series will have the same name and index. DatetimeIndex will have the same name.
返回类型: DatetimeArray, DatetimeIndex or Series

参见

floor: Floor the datetimes to the specified freq.
ceil: Ceil the datetimes to the specified freq.
round: Round the datetimes to the specified freq.

实际案例

>>> idx = pd.date_range(start='2014-08-01 10:00', freq='H',  
...                     periods=3, tz='Asia/Calcutta')
>>> idx  
DatetimeIndex(['2014-08-01 10:00:00+05:30',
               '2014-08-01 11:00:00+05:30',
               '2014-08-01 12:00:00+05:30'],
                dtype='datetime64[ns, Asia/Calcutta]', freq='H')
>>> idx.normalize()  
DatetimeIndex(['2014-08-01 00:00:00+05:30',
               '2014-08-01 00:00:00+05:30',
               '2014-08-01 00:00:00+05:30'],
               dtype='datetime64[ns, Asia/Calcutta]', freq=None)

This docstring was copied from pandas.core.indexes.accessors.CombinedDatetimelikeProperties.