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_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: int64

>>> 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: int64

>>> quarters_series = pd.Series(pd.date_range("2000-01-01", periods=3, freq="q"))
>>> 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: int64

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