Modulenotfounderror no module named packaging python

Решение ошибки «ModuleNotFoundError: No module named ‘…’»

В Python может быть несколько причин возникновения ошибки ModuleNotFoundError: No module named . :

• Модуль Python не установлен.
• Есть конфликт в названиях пакета и модуля.
• Есть конфликт зависимости модулей Python.

Рассмотрим варианты их решения.

Модуль не установлен

В первую очередь нужно проверить, установлен ли модуль. Для использования модуля в программе его нужно установить. Например, если попробовать использовать numpy без установки с помощью pip install будет следующая ошибка:

Traceback (most recent call last): File "", line 1, in ModuleNotFoundError: No module named 'numpy'

Для установки нужного модуля используйте следующую команду:

pip install numpy # или pip3 install numpy

Или вот эту если используете Anaconda:

Учтите, что может быть несколько экземпляров Python (или виртуальных сред) в системе. Модуль нужно устанавливать в определенный экземпляр.

Конфликт имен библиотеки и модуля

Еще одна причина ошибки No module named — конфликт в названиях пакета и модуля. Предположим, есть следующая структура проекта Python:

demo-project └───utils __init__.py string_utils.py utils.py

Если использовать следующую инструкцию импорта файла utils.py, то Python вернет ошибку ModuleNotFoundError .

 
>>> import utils.string_utils 
Traceback (most recent call last): 
File "C:\demo-project\utils\utils.py", line 1, in 
import utils.string_utils 
ModuleNotFoundError: No module named 'utils.string_utils'; 
'utils' is not a package 
 
В сообщении об ошибке сказано, что «utils is not a package». utils — это имя пакета, но это также и имя модуля. Это приводит к конфликту, когда имя модуля перекрывает имя пакета/библиотеки. Для его разрешения нужно переименовать файл utils.py.
 
Конфликт зависимостей модулей Python
 
Иногда может существовать конфликт модулей Python, который и приводит к ошибке No module named.
 
Следующее сообщение явно указывает, что _numpy_compat.py в библиотеке scipy пытается импортировать модуль numpy.testing.nosetester .
 
Traceback (most recent call last): File "C:\demo-project\venv\ Lib\site-packages\ scipy\_lib\_numpy_compat.py", line 10, in from numpy.testing.nosetester import import_nose ModuleNotFoundError: No module named 'numpy.testing.nosetester'
 
Ошибка ModuleNotFoundError возникает из-за того, что модуль numpy.testing.nosetester удален из библиотеки в версии 1.18. Для решения этой проблемы нужно обновить numpy и scipy до последних версий.
 
pip install numpy --upgrade pip install scipy --upgrade 
 
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Modulenotfounderror no module named ‘packaging’ ( Solved )
 
 
As you must be aware that modulenotfounderror mainly comes when the python interpreter is unable to find the module in the system. If you are getting the modulenotfounderror no module named ‘packaging’ then this post is for you. In this tutorial, you will learn how to solve this issue easily.
 
Why modulenotfounderror no module named ‘packaging’ occurs?
 
The root or main cause of getting packaging modulenotfounderror is that your system is unable to find the packaging module. The packaging module allows you to implement the interoperability specifications.
 
You will get the modulenotfounderror when you will run the below lines of code.
 
 
Output
 
Here I am trying to import the Version modulefrom the packaging package but getting the no module named packaging error.
 
Solve no module named ‘packaging’ Error
 
As I stated in the previous section that you are getting the error as the packaging module must not be installed in your system. To remove the error you have to install the packaging module using the pip command.
 
But before that, you should also check the version of python. If the python version is 3. xx then use the pip3 command and if it is 2. xx then use the pip command.
 
Run the following bash command to install the packaging module.
 
Python 3. xx
 
Python 2. xx
 
Now you will not get the error when you import the Version module into the packaging library.
 
 
If you want to install the packaging module on anaconda then use the following bash command on your anaconda command prompt.
 
Conclusion
 
In most of that cases, you will get the modulenotfounderror when any package is not installed in your system. To solve this error you have to install the module in the systems. The above solution will solve the error modulenotfounderror no module named ‘packaging‘.
 
If you have any queries and still facing issues then you can contact us for more help.
 
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[Fixed] ModuleNotFoundError: No module named ‘packaging’
 
 
 
Quick Fix: Python raises the ImportError: No module named 'packaging' when it cannot find the library packaging . The most frequent source of this error is that you haven’t installed packaging explicitly with pip install packaging . Alternatively, you may have different Python versions on your computer, and packaging is not installed for the particular version you’re using.
 
Problem Formulation
 
You’ve just learned about the awesome capabilities of the packaging library and you want to try it out, so you start your code with the following statement:
 
This is supposed to import the Pandas library into your (virtual) environment. However, it only throws the following ImportError: No module named packaging :
 
>>> import packaging Traceback (most recent call last): File "", line 1, in import packaging ModuleNotFoundError: No module named 'packaging'
 
Solution Idea 1: Install Library packaging
 
The most likely reason is that Python doesn’t provide packaging in its standard library. You need to install it first!
 
Before being able to import the Pandas module, you need to install it using Python’s package manager pip . Make sure pip is installed on your machine.
 
To fix this error, you can run the following command in your Windows shell:
 
This simple command installs packaging in your virtual environment on Windows, Linux, and MacOS. It assumes that your 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):
 
$ python -m pip install --upgrade pip $ pip install pandas
 
💡 Note: Don’t copy and paste the $ symbol. This is just to illustrate that you run it in your shell/terminal/command line.
 
Solution Idea 2: Fix the Path
 
The error might persist even after you have installed the packaging library. This likely happens because pip is installed but doesn’t reside in the path you can use. Although pip may be installed on your system the script is unable to locate it. Therefore, it is unable to install the library using 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 where python
 
 
 
Step 2: Once you have opened the Python folder, browse and open the Scripts folder and copy its location. Also verify that the folder contains the pip file.
 
 
Step 3: Now open the Scripts directory in the command prompt using the cd command and the location that you copied previously.
 
 
Step 4: Now install the library using pip install packaging command. Here’s an analogous example:
 
After having followed the above steps, execute our script once again. And you should get the desired output.
 
Other Solution Ideas
 
 
The 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 packaging for Python 3, you may want to try python3 -m pip install packaging or even pip3 install packaging instead of pip install packaging
 
If you face this issue server-side, you may want to try the command pip install --user packaging
 
If you’re using Ubuntu, you may want to try this command: sudo apt install packaging
 
You can check out our in-depth guide on installing packaging 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
 
In Python, the 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 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 ImportError and ModuleNotFoundError ?
 
Python defines an error hierarchy, so some error classes inherit from other error classes. In our case, the ModuleNotFoundError is a subclass of the ImportError class.
 
You can see this in this screenshot from the docs:
 
 
You can also check this relationship using the issubclass() built-in function:
 
>>> issubclass(ModuleNotFoundError, ImportError) True
 
Specifically, Python raises the ModuleNotFoundError if the module (e.g., packaging ) 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 ImportError .
 
If an import statement cannot import a module, it raises an ImportError . This may occur because of a faulty installation or an invalid path. In Python 3.6 or newer, this will usually raise a ModuleNotFoundError .
 
Related Videos
 
The following video shows you how to resolve the ImportError :
 
 
The fix is simple: Use the PyCharm installation tooltips to install Pandas in your virtual environment—two clicks and you’re good to go!
 
First, right-click on the pandas text in your editor:
 
 
Second, click “ Show Context Actions ” in your context menu. In the new menu that arises, click “Install Pandas” and wait for PyCharm to finish the installation.
 
The code will run after your installation completes successfully.
 
As an alternative, you can also open the Terminal tool at the bottom and type:
 
If this doesn’t work, you may want to set the Python interpreter to another version using the following tutorial: https://www.jetbrains.com/help/pycharm/2016.1/configuring-python-interpreter-for-a-project.html
 
You can also manually install a new library such as packaging in PyCharm using the following procedure:
 
 
Open File > Settings > Project from the PyCharm menu.
 
Select your current project.
 
Click the Python Interpreter tab within your project tab.
 
Click the small + symbol to add a new library to the project.
 
Now type in the library to be installed, in your example Pandas, and click Install Package .
 
Wait for the installation to terminate and close all popup windows.
 
 
Here’s an analogous example:
 
Here’s a full guide on how to install a library on PyCharm.
 
 
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