Series.dt can be used to access series values ‚Äã‚Äãas datetimelike and return multiple properties. Series.dt.year Pandas Series.dt.year returns an empty array containing the year of the date and time in base data of this series object.
Syntax: Series.dt.year
Parameter: None
Returns: numpy array
Example # 1: Use the Series.dt.year attribute to return the year of the date and time in the underlying data of this Series object.
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Output:
We will now use the Series attribute. dt.year to return the year of the date and time in the underlying data of this Series object.
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Exit :
As we can see from the output, the Series.dt.year successfully accessed and returned the datetime year in the underlying data of this series object.
Example # 2: Use the Series.dt.year attribute to return the year of the date and time in the underlying data of this Series object.
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Output:
We will now use the Series.dt.year attribute to return the year of the date and time in the underlying data of this Series object.
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Output:
Like us we can see from the output, the Series.dt.year attribute successfully accessed and returned the year of the datetime in the underlying data of the given series object.
