Returns a Series indexed like the original Series. Raises TypeError if the Series does not contain datetimelike values.
Accessor object for datetimelike properties of the Series values.
>>> seconds_series = pd.Series(This example is valid syntax, but we were not able to check execution
... pd.period_range(
... start="2000-01-01 00:00:00", end="2000-01-01 00:00:03", 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 3 2000-01-01 00:00:03 dtype: period[S]
>>> seconds_series.dt.second 0 0 1 1 2 2 3 3 dtype: int64This example is valid syntax, but we were not able to check execution
>>> hours_series = pd.Series(This example is valid syntax, but we were not able to check execution
... pd.period_range(start="2000-01-01 00:00", end="2000-01-01 03:00", freq="h")
... )
... hours_series 0 2000-01-01 00:00 1 2000-01-01 01:00 2 2000-01-01 02:00 3 2000-01-01 03:00 dtype: period[H]
>>> hours_series.dt.hour 0 0 1 1 2 2 3 3 dtype: int64This example is valid syntax, but we were not able to check execution
>>> quarters_series = pd.Series(This example is valid syntax, but we were not able to check execution
... pd.period_range(start="2000-01-01", end="2000-12-31", freq="Q-DEC")
... )
... quarters_series 0 2000Q1 1 2000Q2 2 2000Q3 3 2000Q4 dtype: period[Q-DEC]
>>> quarters_series.dt.quarter 0 1 1 2 2 3 3 4 dtype: int64See :
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