pandas.Series.dt¶
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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.