pandas.Series.dt — pandas 2.3.0 documentation (original) (raw)

Series.dt()[source]#

Accessor object for datetimelike properties of the Series values.

Examples

seconds_series = pd.Series(pd.date_range("2000-01-01", periods=3, freq="s")) seconds_series 0 2000-01-01 00:00:00 1 2000-01-01 00:00:01 2 2000-01-01 00:00:02 dtype: datetime64[ns] seconds_series.dt.second 0 0 1 1 2 2 dtype: int32

hours_series = pd.Series(pd.date_range("2000-01-01", periods=3, freq="h")) hours_series 0 2000-01-01 00:00:00 1 2000-01-01 01:00:00 2 2000-01-01 02:00:00 dtype: datetime64[ns] hours_series.dt.hour 0 0 1 1 2 2 dtype: int32

quarters_series = pd.Series(pd.date_range("2000-01-01", periods=3, freq="QE")) quarters_series 0 2000-03-31 1 2000-06-30 2 2000-09-30 dtype: datetime64[ns] quarters_series.dt.quarter 0 1 1 2 2 3 dtype: int32

Returns a Series indexed like the original Series. Raises TypeError if the Series does not contain datetimelike values.