Pandas Series dt.date | Extract Date From DateTime Objects

The dt.date attribute extracts the date part of the DateTime objects in a Pandas Series.

It returns the NumPy array of Python datetime.date objects, mainly the date part of timestamps without information about the time and timezone.

Example

Output:

👁 Date part extracted using dt.date

Syntax

Syntax: Series.dt.date 

Parameter : None 

Returns :NumPy array with datetime.date objects

How to Extract Date from a DateTime object in Pandas Series

To extract the date from a DateTime object in Pandas Series we use the dt.date attribute of the Pandas library in Python.

Let us understand it better with an example:

Example:

Output :

👁 created Series

Now we will use the dt.date attribute to return the date property of the underlying data of the given Series object.

Output :

👁 date part of series

As we can see in the output, the dt.date attribute has successfully accessed and returned the date property of the underlying data in the given series object.