Series.dt
can be used to access series values as datetimelike and return multiple properties. Series.dt.quarter
Pandas Series.dt.quarter
returns a quarter of a date in the underlying data based on a date and time in this series object.
Syntax: Series.dt.quarter
Parameter: None
Returns: numpy array
Example # 1: Use the Series.dt.quarter
attribute to return a quarter of the date in the underlying data of this Series object.

Output:
Now we will use the Series.dt attribute .quarter
to return the quarter date in the data based on the date and time in the given series object.

Output:
As we can see from the output, the attribute Series.dt.quarter
successfully accessed and returned a quarter date in the underlying data of this series object.
Example # 2: Use the Series attribute .dt.quarter
to return the quarter date in the underlying data of this Series object.

Output:
We will now use the Series.dt.quarter
attribute to return a quarter date in the data to based on the date and time in the given series object.

Output:
As we can see from the output, the Series.dt.quarter
attribute successfully accessed and returned a quarter date in the underlying data this series object.
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