Скачать или смотреть Enabling Legend Picking in Matplotlib for Interactive Plotting

Discover how to enable interactive legend picking in Matplotlib to toggle plot lines on and off with ease.
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This video is based on the question https://stackoverflow.com/q/64759623/ asked by the user 'SMS' ( https://stackoverflow.com/u/10770967/ ) and on the answer https://stackoverflow.com/a/64759854/ provided by the user 'Diziet Asahi' ( https://stackoverflow.com/u/1356000/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Enabling Legend Picking in Matplotlib: Toggle Your Plot Lines On and Off

When working with data visualizations in Matplotlib, you might want to provide an interactive experience for users. One common feature is the ability to toggle the visibility of plot lines directly from the legend. This functionality helps in making the plots more interactive and user-friendly. However, getting this right, especially with multiple figures, can be tricky. This guide will guide you through the process step by step.

The Challenge: Interactive Legends with Multiple Figures

Imagine you have two or more figures, each containing plots with legends. You'd like to be able to click on the items in the legend of each figure to show or hide the respective plot lines. However, copying and pasting similar code for multiple figures can lead to errors where the legend from one figure affects another.

Example Error

Many users encounter issues like this when they copy and paste code without modifying variable names, leading to conflicts. Here’s a typical scenario: when you try to click on the legend of the first figure, it may not respond at all due to variable overwriting.

The Solution: Unique Variable Names for Each Figure

The key to resolving this issue is to ensure that all variables associated with each figure use unique names. This approach not only avoids conflicts but also keeps your code organized and understandable. Below, we'll provide an example demonstrating how to implement this effectively.

Sample Code

Here's how you can modify your Matplotlib code:

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

How This Code Works

Unique Variable Names: Each figure has its own set of variables (Line11, Line12 for the first and line21, line22 for the second) which ensures there's no name clash.

Picker Setup: For each legend line, set_picker(5) allows for mouse events to trigger visibility toggles.

Pick Events: Two separate functions onpick1 and onpick2 handle the toggle functionality for each figure independently.

Conclusion

By using unique variable names for each figure and setting up separate event handlers, you can easily enable picking on legends without running into conflicts. This approach not only enhances the flexibility and interactivity of your plots but also makes your code cleaner and easier to manage. So go ahead, implement this in your projects, and enjoy the enhanced functionality in your Matplotlib visualizations!