pyspark.pandas.Series.dt.normalize¶

dt.normalize() → ps.Series¶

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.

Returns

Series: The same type as the original data. Series will have the same name and index.

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

>>> series = ps.Series(pd.Series(pd.date_range('2012-1-1 12:45:31', periods=3, freq='M')))
>>> series.dt.normalize()
0   2012-01-31
1   2012-02-29
2   2012-03-31
dtype: datetime64[ns]

pyspark.pandas.Series.dt.days_in_month

pyspark.pandas.Series.dt.strftime