This error occurs when you import the datetime module and try to call the today()
method on the imported module. You can solve this error by importing the datetime class using:
from datetime import datetime
or accessing the class method using:
datetime.datetime.today()
We can also use access the date class which also has the today method and returns the current local date using
from datetime import date
or
datetime.date.today()
This tutorial will go through the error and how to solve it with code examples.
Table of contents
AttributeError: module ‘datetime’ has no attribute ‘today’
AttributeError occurs in a Python program when we try to access an attribute (method or property) that does not exist for a particular object. datetime is a built-in Python module that supplies classes for manipulating dates and times. One of the classes in datetime is called datetime. It can be unclear when both the module and one of the classes share the same name. If you use the import syntax:
import datetime
You are importing the datetime
module, not the datetime
class. We can verify that we are importing the module using the type()
function:
import datetime print(type(datetime))
<class 'module'>
We can check what names are under datetime
using dir()
as follows:
import datetime attributes = dir(datetime) print('today' in attributes)
In the above code, we assign the list of attributes returned by dir()
to the variable name attributes. We can then check for the today()
attribute in the list using the in
operator. When we run this code, we see it returns False.
False
However, if we import the datetime
class using the from
keyword and call dir()
, we will see today
as an attribute of the class. We can check for today
in the list of attributes as follows:
from datetime import datetime attributes = dir(datetime) print('today' in attributes)
True
Example
Consider the following example where we want to get today’s date.
import datetime today = datetime.today() print(f"Today's date is: {today}")
Let’s run the code to see what happens:
--------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Input In [10], in <cell line: 3>() 1 import datetime ----> 3 today = datetime.today() 5 print(f"Today's date is: {today}") AttributeError: module 'datetime' has no attribute 'today'
The error occurs because we imported the datetime module and tried to call the today()
method on the module, but today()
is an attribute of the datetime class, not the module.
Solution #1: Use the from keyword
We can solve this error by importing the datetime
class using the from
keyword. Let’s look at the revised code:
from datetime import datetime today = datetime.today() print(f"Today's date is: {today}")
Let’s run the code to see the result:
Today's date is: 2022-05-20 13:42:31.547282
datetime.today()
returns the local datetime. We can also call date.today()
, which requires us to import the date
class from the datetime
module. Let’s look at the revised code:
from datetime import date today = date.today() print(f"Today's date is: {today}")
Let’s run the code to see the result:
Today's date is: 2022-05-20
date.today() returns the current local date.
Solution #2: Use datetime.datetime
We can also solve this error by importing the module and then accessing the datetime class using datetime.datetime
, then calling the today()
method. Let’s look at the revised code:
import datetime today = datetime.datetime.today() print(f"Today's date is: {today}")
Today's date is: 2022-05-20 13:43:36.295961
Similarly, we can access the date
class using datetime.date
, and then call the today()
method:
import datetime today = datetime.date.today() print(f"Today's date is: {today}")
Today's date is: 2022-05-20
Summary
Congratulations on reading to the end of this tutorial! Remember that from datetime import datetime
imports the datetime class and import datetime
imports the datetime module.
For further reading on AttributeErrors involve the datetime module, go to the article:
How to Solve Python AttributeError: module ‘datetime’ has no attribute ‘utcnow’
To learn more about Python for data science and machine learning, go to the online courses page on Python for the most comprehensive courses available.
Have fun and happy researching!
Suf is a senior advisor in data science with deep expertise in Natural Language Processing, Complex Networks, and Anomaly Detection. Formerly a postdoctoral research fellow, he applied advanced physics techniques to tackle real-world, data-heavy industry challenges. Before that, he was a particle physicist at the ATLAS Experiment of the Large Hadron Collider. Now, he’s focused on bringing more fun and curiosity to the world of science and research online.