Скачать или смотреть Resolving the Matplotlib Upgrade Issue on Azure Machine Learning Studio

Discover why `Matplotlib` does not upgrade beyond version 3.2.1 in Azure Machine Learning Studio and learn how to resolve this issue.
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This video is based on the question https://stackoverflow.com/q/73130723/ asked by the user 'mnm' ( https://stackoverflow.com/u/9723370/ ) and on the answer https://stackoverflow.com/a/73189509/ provided by the user 'Sairam Tadepalli' ( https://stackoverflow.com/u/18428148/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Upgrading Matplotlib in Azure Machine Learning Studio: A Common Challenge

If you're working with data visualization in Python, you’re likely familiar with the Matplotlib library, a staple for creating plots and charts. However, many users encounter a frustrating limitation when trying to upgrade Matplotlib in specific environments, such as Azure Machine Learning Studio, where it seems to cap out at version 3.2.1. This post dives into why this happens and how you can solve the issue to get the latest features and improvements from Matplotlib.

Why Can't I Upgrade Beyond Version 3.2.1?

When trying to upgrade Matplotlib, you might find that no matter what commands you run (like pip install matplotlib or conda install matplotlib), you're still stuck with version 3.2.1. Here are some common reasons:

Python Version Dependency

The primary issue lies in the Python version installed in your environment:

Matplotlib versions are tied closely to the corresponding versions of Python.

The latest version of Matplotlib has limited support for Python 3.8+.

The highest supported version for Matplotlib when using Python 3.7 or lower can be more than 3.2.1, but moving to newer Python versions restricts your Matplotlib options.

Version Compatibility

Python 3.6 supports Matplotlib versions up to 3.2 and 3.1.

If your environment uses a version newer than 3.8, the upgrade may not happen due to compatibility restrictions.

Steps to Resolve the Upgrade Issue

Now that you understand the reason behind the limitation, let’s explore how to resolve this issue and successfully upgrade Matplotlib. Follow these steps:

Step 1: Check Your Python Version

Before making any changes, confirm which version of Python your notebook is running. You can do this by executing:

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

If it shows a version greater than 3.7, consider switching to Python 3.6.

Step 2: Downgrade Python Version (if necessary)

If you find that your Python version is indeed above 3.7, you may want to downgrade. Here’s how:

Uninstall the current Python version.

Install Python 3.6 in your Azure Machine Learning environment.

Step 3: Install or Upgrade Matplotlib

Once you have the compatible Python version set up, you can now (re)install Matplotlib using either of the following commands:

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

or

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

You should now see that you can upgrade to the version of Matplotlib that corresponds with your newly installed Python version.

Step 4: Verify the Installation

After installation, verify the version of Matplotlib to ensure everything is set up correctly:

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

Conclusion

By adhering to the dependency relationships between Matplotlib and Python versions, you can overcome the installation limitations encountered in Azure Machine Learning Studio. If you’re running into issues upgrading Matplotlib beyond 3.2.1, make sure to check your Python version, and if necessary, downgrade to a compatible version. Happy plotting!