Скачать или смотреть Solving the matplotlib 3D Axes Scaling Issue

Discover how to fix the `matplotlib` 3D scaling issue by using the correct axis creation method and ensuring proper scatter plotting.
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This video is based on the question https://stackoverflow.com/q/67568811/ asked by the user 'Lukas S' ( https://stackoverflow.com/u/2640045/ ) and on the answer https://stackoverflow.com/a/77208532/ provided by the user 'Cat' ( https://stackoverflow.com/u/3120501/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Understanding the matplotlib 3D Scaling Issue

If you've dabbled in 3D graphics using matplotlib, you may have encountered the frustrating situation where the scaling of the axes doesn't behave as expected. This phenomenon often manifests as a RuntimeWarning concerning invalid values, particularly when trying to visualize data points in a three-dimensional space. This issue seems to arise when you're attempting to plot using plt.scatter() instead of the appropriate 3D axis methods.

In this guide, we'll explore a practical solution to the 3D scaling problem in matplotlib and ensure you can visualize your data correctly without running into such errors.

The Problem

The typical code you might use to generate a 3D scatter plot looks like this:

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

While this code seems logical, it leads to an error and doesn't plot the points properly. You might see warnings like the following when you attempt to run it:

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

The Solution

1. Use the Correct Plotting Method

To circumvent the scaling issue, you'll want to utilize the scatter method correctly. Rather than calling plt.scatter(), you need to specifically call the scatter() method of your axis object.

2. Modify Axis Creation

Another key adjustment is how you create the 3D axis. The axis object should be generated using add_subplot(projection='3d'). This allows matplotlib to understand that you're intending to create a 3D plot.

Example Code

Here’s the corrected code that effectively resolves the issue:

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

Summary of Steps

To summarize, here are the steps to resolve the matplotlib 3D scaling issue:

Change the method: Always use ax.scatter(...) instead of plt.scatter(...).

Proper axis creation: Initialize your axis as ax = fig.add_subplot(projection='3d').

By making these changes, you should see that your 3D scatter plots function correctly without throwing any warnings or errors.

Conclusion

While working with matplotlib for 3D visualizations can be complex, understanding the importance of how you set up your plotting environment can save you a lot of headaches. By following these suggestions, you can effectively create impressive and accurate 3D plots without running into the common scaling issues.

Feel free to share your experiences or any additional questions you might have in the comments below!