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.

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.

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.

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.

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.