How to Ignore Deprecation Warnings in Python

Deprecation warnings in Python are messages issued by the interpreter to indicate that a particular feature, method, or module is scheduled for removal in future releases. While it’s essential to pay attention to these warnings and update your code accordingly, there may be situations where you need to temporarily suppress or ignore them.

What are Deprecation Warnings in Python?

Deprecation warnings serve as a heads-up from the Python developers about changes that will affect your code in future releases. Ignoring them without addressing the underlying issues can lead to compatibility problems and unexpected behavior when you upgrade your Python version. Ignoring deprecation warnings should be a last resort and should only be done when you have a solid understanding of the consequences and have a plan to update your code accordingly.

Syntax:

DeprecationWarning: 'module' is deprecated

Why does Deprecation Warnings Occur in Python?

below, are the reasons of occurring Deprecation Warnings In Python.

• Custom Set Implementation
• Executing Shell Using os.popen
• Using `collections.OrderedDict.iteritems()

Custom Set Implementation

below, code defines a custom set class named MySet that inherits from collections.MutableSet, indicating the intention to create a mutable set with customizable behavior in Python and also shows the Deprecation Warnings In Python.

Python3

import collections


class MySet(collections.MutableSet):
    pass

Output

Solution.py:3: DeprecationWarning: Using or importing the ABCs 
from 'collections' instead of from 'collections.abc' is deprecated since 
Python 3.3,and in 3.9 it will stop working
  class MySet(collections.MutableSet):

Executing Shell Using os.popen

below, code uses os.popen to execute the “ls” command in the shell and captures the command’s output into the variable output and it shows the Deprecation Warnings In Python.

Python3

import os

output = os.popen("ls").read()

Output

DeprecationWarning: 'os.popen' is deprecated since Python 3.6, use the 'subprocess' module

Using `collections.OrderedDict.iteritems()

The code creates an OrderedDict from a list of key-value pairs and iterates through it using iteritems() (though in Python 3, it would be items()), printing each key-value pair.

Python3

import collections

d = collections.OrderedDict([('a', 1), ('b', 2)])
for key, value in d.iteritems():
    print(key, value)

Output

DeprecationWarning: 'collections.OrderedDict.iteritems' is deprecated since Python 3. Use 'collections.OrderedDict.items' instead.

Ignoring Deprecation Warnings In Python

Below, are the approaches to solve Deprecation Warnings In Python

• Correctly Implement Custom Set
• Update subprocess Module
• Using items() Method

Correctly Implement Custom Set

Below code defines a custom set class named MySet that inherits from collections.abc.MutableSet, indicating the implementation of a mutable set with abstract base class features in Python.

Python3

import collections.abc

class MySet(collections.abc.MutableSet):
    pass

Update subprocess Module

To solve the problem, update the code to use the `subprocess` module:

Python3

import subprocess

output = subprocess.getoutput("ls")

Using the items() Method

To solve the problem, update the code to use the `items()` method:

Python3

import collections

d = collections.OrderedDict([('a', 1), ('b', 2)])
for key, value in d.items():
    print(key, value)

Output

a 1
b 2

Conclusion

In conclusion , While it’s generally recommended to address deprecation warnings promptly, there are scenarios where temporarily ignoring them is acceptable. It’s crucial to keep track of such instances and have a plan to update your code to maintain compatibility with future Python releases. Always use caution when ignoring warnings, and make sure to revisit and address them as part of your regular code maintenance and update processes.