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Series.dt
can be used to access series values ​​as 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.
|
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.
|
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.
|
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.
|
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.
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Milan | 2023-02-04
PS PHP module is always a bit confusing 😭 Python | Pandas Series.dt.year is not the only problem I encountered. Will get back tomorrow with feedback
Paris | 2023-02-04
array Python module is always a bit confusing 😭 Python | Pandas Series.dt.year is not the only problem I encountered. Will use it in my bachelor thesis
Berlin | 2023-02-04
Maybe there are another answers? What Python | Pandas Series.dt.year exactly means?. I just hope that will not emerge anymore