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Скачать или смотреть Resolving the Cannot import name 'iterable' from 'matplotlib.cbook' Error in Python

  • vlogize
  • 2025-05-25
  • 10
Resolving the Cannot import name 'iterable' from 'matplotlib.cbook' Error in Python
Cannot import name 'iterable' from 'matplotlib.cbook'pythonpython 3.xmatplotlibubuntuiterable
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Описание к видео Resolving the Cannot import name 'iterable' from 'matplotlib.cbook' Error in Python

Struggling with the error `cannot import name 'iterable' from 'matplotlib.cbook'` while using Python's Matplotlib library? This guide provides simple steps to resolve the issue quickly and efficiently.
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This video is based on the question https://stackoverflow.com/q/72179492/ asked by the user 'Codeholic' ( https://stackoverflow.com/u/16780162/ ) and on the answer https://stackoverflow.com/a/72212927/ provided by the user 'Codeholic' ( https://stackoverflow.com/u/16780162/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Cannot import name 'iterable' from 'matplotlib.cbook'

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The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

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How to Fix the Cannot Import Name 'iterable' from 'matplotlib.cbook' Error

If you’re delving into data visualization in Python using Matplotlib and have recently upgraded to Ubuntu 22 or Python 3.10, you may encounter an error that can disrupt your workflow. Specifically, you might find yourself staring at the frustrating error message:

[[See Video to Reveal this Text or Code Snippet]]

This issue has left many developers scratching their heads, especially after exhausting online forums and troubleshooting guides without success. In this guide, we're going to walk you through the steps needed to resolve this error so that you can get back to creating beautiful graphs and charts.

Understanding the Problem

Before we jump to the solution, let’s clarify why this error occurs. The iterable function previously available in matplotlib.cbook has been deprecated in newer versions of Matplotlib. As a result, if your code or any of the libraries you’re using depends specifically on this function, you will encounter the ImportError.

This is particularly common when third-party libraries, such as prettyplotlib, try to import older functionalities from Matplotlib in their code.

Steps to Resolve the Error

Here’s a straightforward process to help you eliminate the ImportError and restore functionality.

Step 1: Uninstall Matplotlib

First, you will want to completely remove your current installation of Matplotlib. Open your terminal and run the following command:

[[See Video to Reveal this Text or Code Snippet]]

Note: It's essential to confirm the uninstallation when prompted.

Step 2: Install a Compatible Version of Matplotlib

After uninstalling, you need to install a version of Matplotlib that still supports the iterable function. The recommended version that most users find works well is 3.2. Run this command in your terminal:

[[See Video to Reveal this Text or Code Snippet]]

This command will ensure you're installing the specific version that avoids the conflicts leading to the ImportError.

Step 3: Verify Your Installation

Once the installation is complete, it’s good practice to check that everything is working properly. You can do this by starting a Python interactive shell and trying to import matplotlib:

[[See Video to Reveal this Text or Code Snippet]]

Make sure the output indicates version 3.2, confirming that you have successfully installed the correct version.

Conclusion

Encountering the error cannot import name 'iterable' from 'matplotlib.cbook' can be a significant annoyance, especially when you're eager to start plotting. However, by following the steps outlined above—uninstalling the current version of Matplotlib and installing a compatible one—you can resolve the issue swiftly.

If you find yourself stuck in the future, remember to refer back to these steps, and you should be well on your way to seamless graphing and data visualization with Matplotlib!



Feel free to leave any questions or comments below if you need further assistance or run into additional issues!

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