[Tut] Fix Installation Error of ‘unittest’

[Tut] Fix Installation Error of ‘unittest’ - Printable Version

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[Tut] Fix Installation Error of ‘unittest’ - xSicKxBot - 11-05-2022

Fix Installation Error of ‘unittest’

5/5 – (1 vote)

[Image: image-18.png]

The

Code:
unittest

module is part of Python’s standard library for a long time. So in most cases, there’s no need to install it using something like

Code:
pip install unittest

. Simply run

Code:
import unittest

in your Python code and it works without installation.

In your Python code:

Code:
import unittest

If you try to

Code:
pip install

it, you’ll get the following error

Code:
Could not find a version that satisfies the requirement unittest

that you can fix by not installing it in the first place (it already is)!

Code:
PS C:\Users\xcent> pip install unittest
ERROR: Could not find a version that satisfies the requirement unittest (from versions: none)
ERROR: No matching distribution found for unittest

Recommended Tutorial: How to Check ‘

Code:
unittest

‘ Package Version in Python?

Feel free to also check out our full guide on the PyTest framework which is great for testing purposes too!

Python 2 Backport UnitTest2

If you’re using Python 2, you can try installing the

Code:
unittest2

package that is a backport for unit testing in Python 2.7. Then

Code:
pip install unittest2

Then add the following line to your Python code instead of

Code:
import unittest

Code:
import unittest2

Legacy Solutions to Install UnitTest Module

For some very old Python versions, you may want to try this approach:

Quick Fix: Python raises the

Code:
ImportError: No module named 'unittest'

when it cannot find the library

Code:
unittest

. The most frequent source of this error is that you haven’t installed

Code:
unittest

explicitly with

Code:
pip install unittest

. Alternatively, you may have different Python versions on your computer, and

Code:
unittest

is not installed for the particular version you’re using.

To fix this error, you can run the following command in your Windows shell:

Code:
$ pip install unittest

This simple command installs

Code:
unittest

in your virtual environment on Windows, Linux, and MacOS. It assumes that your

Code:
pip

version is updated. If it isn’t, use the following two commands in your terminal, command line, or shell (there’s no harm in doing it anyways):

Code:
$ python -m pip install – upgrade pip
$ pip install pandas

Note: Don’t copy and paste the

Code:
$

symbol. This is just to illustrate that you run it in your shell/terminal/command line.

The error might persist even after you have installed the

Code:
unittest

library. This likely happens because

Code:
pip

is installed but doesn’t reside in the path you can use. Although

Code:
pip

may be installed on your system the script is unable to locate it. Therefore, it is unable to install the library using

Code:
pip

in the correct path.

To fix the problem with the path in Windows follow the steps given next.

Step 1: Open the folder where you installed Python by opening the command prompt and typing

Code:
where python

Step 2: Once you have opened the

Code:
Python

folder, browse and open the

Code:
Scripts

folder and copy its location. Also verify that the folder contains the

Code:
pip

file.

Step 3: Now open the

Code:
Scripts

directory in the command prompt using the

Code:
cd

command and the location that you copied previously.

[Image: image-38.png]

Step 4: Now install the library using

Code:
pip install unittest

command. Here’s an analogous example:

[Image: pip-path.gif]

After having followed the above steps, execute our script once again. And you should get the desired output.

Other Solution Ideas

The
Code:
ModuleNotFoundError
may appear due to relative imports. You can learn everything about relative imports and how to create your own module in this article.
You may have mixed up Python and pip versions on your machine. In this case, to install
Code:
unittest
for Python 3, you may want to try
Code:
python3 -m pip install unittest
or even
Code:
pip3 install unittest
instead of
Code:
pip install unittest
If you face this issue server-side, you may want to try the command
Code:
pip install – user unittest
If you’re using Ubuntu, you may want to try this command:
Code:
sudo apt install unittest
You can check out our in-depth guide on installing
Code:
unittest
here.
You can also check out this article to learn more about possible problems that may lead to an error when importing a library.

Understanding the “import” Statement

Code:
import unittest

In Python, the

Code:
import

statement serves two main purposes:

Search the module by its name, load it, and initialize it.
Define a name in the local namespace within the scope of the
Code:
import
statement. This local name is then used to reference the accessed module throughout the code.

What’s the Difference Between ImportError and ModuleNotFoundError?

What’s the difference between

Code:
ImportError

and

Code:
ModuleNotFoundError

?

Python defines an error hierarchy, so some error classes inherit from other error classes. In our case, the

Code:
ModuleNotFoundError

is a subclass of the

Code:
ImportError

class.

You can see this in this screenshot from the docs:

[Image: image-37.png]

You can also check this relationship using the

Code:
issubclass()

built-in function:

Code:
>>> issubclass(ModuleNotFoundError, ImportError)
True

Specifically, Python raises the

Code:
ModuleNotFoundError

if the module (e.g.,

Code:
unittest

) cannot be found. If it can be found, there may be a problem loading the module or some specific files within the module. In those cases, Python would raise an

Code:
ImportError

.

If an import statement cannot import a module, it raises an

Code:
ImportError

. This may occur because of a faulty installation or an invalid path. In Python 3.6 or newer, this will usually raise a

Code:
ModuleNotFoundError

.

Related Videos

The following video shows you how to resolve the

Code:
ImportError

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The following video shows you how to import a function from another folder—doing it the wrong way often results in the

Code:
ModuleNotFoundError

Here’s a full guide on how to install a library on PyCharm.

How to Install a Library on PyCharm