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