Extract Day, Month & Year Separately from datetime Object in Python (3 Examples)

In this article you’ll learn how to extract the day, month, and year separately from a datetime object in the Python programming language.

The table of content is structured as follows:

Let’s dive into the Python code!

Import datetime Module & Create Example Data

As a first step, we have to import the datetime module into Python:

from datetime import datetime

In this example, we’ll use the present datetime using the now() command:

print(datetime.now())
# 2021-11-19 06:59:44.221036

Let’s extract the day, month, and year from this datetime object!

Example 1: Extract Day from datetime Object

This example uses the day attribute to get the day of a datetime object:

print(datetime.now().day)
# 19

Example 2: Extract Month from datetime Object

In this example we’ll extract the month number of the present datetime.

To achieve this, we can use the month attribute as shown below:

print(datetime.now().month)
# 11

Example 3: Extract Year from datetime Object

This example uses the year attribute to return the year of the present datetime in 4-digit format:

print(datetime.now().year)
# 2021

Video, Further Resources & Summary

Do you need more explanations on how to extract specific parts from a datetime object in Python? Then you should have a look at the following YouTube video of Corey Schafer’s YouTube channel.

In the video, the speaker explains how to use the datetime module in Python.

Furthermore, you could have a look at some of the other tutorials on Statistics Globe:

• Add Days, Months & Years to datetime Object in Python
• Python Programming Tutorials

This post has shown how to return days, months, and years separately from a datetime object in the Python programming language. In case you have further questions, you may leave a comment below.

This tutorial was created in collaboration with Gottumukkala Sravan Kumar. Please have a look at Gottumukkala’s author page to get more information about his academic background and the other articles he has written for Statistics Globe.