pandas.Series.dt#

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_series0   2000-01-01 00:00:001   2000-01-01 00:00:012   2000-01-01 00:00:02dtype: datetime64[ns]>>>seconds_series.dt.second0    01    12    2dtype: int32

>>>hours_series=pd.Series(pd.date_range("2000-01-01",periods=3,freq="h"))>>>hours_series0   2000-01-01 00:00:001   2000-01-01 01:00:002   2000-01-01 02:00:00dtype: datetime64[ns]>>>hours_series.dt.hour0    01    12    2dtype: int32

>>>quarters_series=pd.Series(pd.date_range("2000-01-01",periods=3,freq="QE"))>>>quarters_series0   2000-03-311   2000-06-302   2000-09-30dtype: datetime64[ns]>>>quarters_series.dt.quarter0    11    22    3dtype: int32

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