Скачать или смотреть Understanding the Matplotlib Toolbar: Toolmanager vs NavigationToolbar2QT

Explore the differences between `Toolmanager` and `NavigationToolbar2QT` in `Matplotlib`, and learn how to implement the home function effectively for zooming and interaction.
---
This video is based on the question https://stackoverflow.com/q/72504918/ asked by the user 'Zhongyu Yang' ( https://stackoverflow.com/u/19232674/ ) and on the answer https://stackoverflow.com/a/72565729/ provided by the user 'Zhongyu Yang' ( https://stackoverflow.com/u/19232674/ ) 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: Matplotlib: Toolbar vs Toolmanager, ToolbarQt vs NavigationToolbar2QT?

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.
---
Understanding the Matplotlib Toolbar: Toolmanager vs NavigationToolbar2QT

When working with Matplotlib to create visualizations, many users encounter a common scenario: wanting to control GUI elements like toolbar buttons for enhanced interactivity within their applications. The challenge arises when attempting to embed specific functionalities, such as the home function, while utilizing different types of toolbars. This guide will delve into the nuances of using Toolmanager and NavigationToolbar2QT in Matplotlib, and provide a clear solution to effectively implement the home function for your GUI buttons.

The Problem

You might be wondering: how do I embed the "home" function (which resets the view) to a button in my widget while ensuring other toolbar operations work smoothly? The issue becomes more pronounced when you switch between toolbars:

Using plt.rcParams['toolbar'] = 'toolmanager' provides the advantage of enabling mouse wheel scrolling for zooming functions.

Conversely, using plt.rcParams['toolbar'] = 'NavigationToolbar2QT' allows for the home function, but lacks the scrolling feature.

Unfortunately, when Toolmanager is the active toolbar, calling toolbar.home() leads to an error—due to a difference in function names and implementations between the two toolbars.

Understanding the Toolbars

Let’s break down the toolbars mentioned:

Toolmanager

Purpose: Enhanced management of tools, providing support for more complex interactions such as zooming with mouse wheel scrolling.

Function Call: The home function is accessed differently; instead of toolbar.home(), you must use the toolmanager's method to trigger the home function.

NavigationToolbar2QT

Purpose: Provides standard navigational controls including zoom, pan, and home functions.

Limitation: Does not support scrolling with the mouse wheel for zooming, which can limit user experience.

Implementing the Home Function with Toolmanager

To integrate the home function while using Toolmanager, you need to replace the typical function call with a specific command designed for the toolmanager. Here’s how to do it:

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

Step-by-Step Implementation Guide

Import Required Libraries: Make sure to include necessary libraries like matplotlib.pyplot and from matplotlib.widgets import Button.

Set Toolbar to Toolmanager: Configure your Matplotlib settings to use Toolmanager:

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

Create Your Plot: Setup your figure and axes as normal.

Define Button Callback:

Include a function that changes the image or plot view.

Call the home function using plt.get_current_fig_manager().toolmanager.tools['home'].trigger(fig, event).

Add Button to Your Interface: Finally, create a Button widget that, when clicked, calls the defined function.

Example Code Implementation

Here’s a concise example of how you can create an interactive button that combines changing colors and resetting the view:

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

Conclusion

Using Matplotlib effectively requires understanding its options and limitations when it comes to different toolbars and functionalities. By leveraging the Toolmanager, you can enhance user interaction through mouse scroll zooming while still accessing necessary functions like resetting the view with a button. Remember to adapt your function calls depending on the active toolbar to ensure seamless functionality. Happy plotting!