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Скачать или смотреть Fixing the File Naming Issue in Matplotlib: A Guide to Using Custom Labels

  • vlogize
  • 2025-08-31
  • 0
Fixing the File Naming Issue in Matplotlib: A Guide to Using Custom Labels
pass in a list of labels for generation of figures in for looppythonmatplotlib
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Описание к видео Fixing the File Naming Issue in Matplotlib: A Guide to Using Custom Labels

Struggling with saving figures in Matplotlib using a list of custom labels in your for loop? Discover how to correctly name your output files for clarity and organization.
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This video is based on the question https://stackoverflow.com/q/64440309/ asked by the user 'shoggananna' ( https://stackoverflow.com/u/9106985/ ) and on the answer https://stackoverflow.com/a/64440402/ provided by the user 'Mathieu' ( https://stackoverflow.com/u/8324480/ ) 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: pass in a list of labels for generation of figures in for loop

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
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.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Fixing the File Naming Issue in Matplotlib: A Guide to Using Custom Labels

When working on plots in Python using Matplotlib, you might find yourself needing to save multiple figures with specific names derived from a list. However, you may encounter a situation where the generated filenames do not match your expectations. Instead of saving figures with meaningful labels, you end up with generic names based on the loop index, like plot_l1.png, plot_l2.png, and so on. In this guide, we will address this common problem and provide a clear solution to achieve the desired output, such as test1.png, test2.png, etc.

Understanding the Problem

You have an array of labels intended to name the saved figures, but when you attempt to use these labels during saving, they are not applied correctly. The code you've written might look like this:

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

The Current Output

The figures are generated, but the files are named using the loop index, resulting in:

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

The Desired Output

Instead, you want the files to be saved as:

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

The Solution: Using Proper Indexing

The key to solving this problem lies in how you access the names in your plot_l list. The current code utilizes the loop index i to name the files, which reads from the list incorrectly. To fix this, you should directly use plot_l[i] in the plt.savefig() method.

Here’s How to Implement the Solution

Step-by-Step Code Correction

Replace the Filename line: Modify the plt.savefig() call in your loop to reference the list directly.

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

Validate List Length: Ensure that the number of plots you are generating (i.e., ydata.shape[1]) matches the length of plot_l. This is important to avoid indexing errors.

Updated Code Example

Here's how your complete code might look after the correction:

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

Understanding f-Strings

Using the f before your string allows you to incorporate variable values in a clean and intuitive manner. The notation {plot_l[i]} correctly pulls the desired label from your list and formats it as part of the filename.

Conclusion

By implementing the changes above, you can now properly save your figures using labels from your list, enhancing clarity and organization in your files. No more confusing names! This adjustment not only makes your output more meaningful but also easier to manage when reviewing multiple plots later. Happy plotting!

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