pyspark.pandas.DatetimeIndex.normalize¶

DatetimeIndex.normalize() → pyspark.pandas.indexes.datetimes.DatetimeIndex[source]¶

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.

Returns

DatetimeIndex: The same type as the original data.

See also

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

Examples

>>> idx = ps.date_range(start='2014-08-01 10:00', freq='H', periods=3)
>>> idx.normalize()
DatetimeIndex(['2014-08-01', '2014-08-01', '2014-08-01'], dtype='datetime64[ns]', freq=None)

pyspark.pandas.DatetimeIndex.indexer_at_time pyspark.pandas.DatetimeIndex.strftime