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Скачать или смотреть Drawing Multiple Lines on Matplotlib with Tkinter

  • vlogize
  • 2025-08-23
  • 0
Drawing Multiple Lines on Matplotlib with Tkinter
How to add a line to an already drawn line in matplotlib?pythonmatplotlibtkinter
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Описание к видео Drawing Multiple Lines on Matplotlib with Tkinter

Learn how to draw multiple lines on a matplotlib graph embedded in a tkinter application, and how to erase the most recent line drawn.
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This video is based on the question https://stackoverflow.com/q/64144657/ asked by the user 'razzor' ( https://stackoverflow.com/u/14246233/ ) and on the answer https://stackoverflow.com/a/64181586/ provided by the user 'razzor' ( https://stackoverflow.com/u/14246233/ ) 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: How to add a line to an already drawn line in matplotlib?

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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Drawing Multiple Lines on Matplotlib with Tkinter: A Step-by-Step Guide

When working with graphical data representation in Python, matplotlib is one of the most powerful libraries available. However, integrating it into a GUI using tkinter can present specific challenges, especially if you want to allow users to dynamically add and manage lines on a graph. In this guide, we'll tackle a common problem: how to add a line to an already drawn line in matplotlib embedded within a tkinter application.

The Problem

If you're new to object-oriented programming (OOP) and working with graphical applications, you might find yourself wanting to draw several lines based on user input while preserving those lines on the canvas. You may also want to implement functionality to erase the most recent line drawn. Our objective is to create an interface in tkinter, where users can enter coordinates for two points that define each line they want to draw.

Proposed Solution

We'll break down the solution into several key sections to make it easier to understand:

1. Setting up the Environment

First, ensure you have matplotlib and tkinter installed in your Python environment. You can use:

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

Next, you can import the necessary modules in your Python script:

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

2. Creating the Main Application Window

We'll create a main class that initializes our tkinter window:

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

3. Building the Page Frame

Inside the application window, we'll create a frame to house our plotting area and controls for user inputs:

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

In this frame, you'll also add entry fields for user inputs and buttons for drawing and deleting lines.

4. Drawing the Lines

When the button to draw a line is pressed, we gather coordinates from user inputs and plot them. This is done in the draw method.

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

5. Deleting the Most Recent Line

To remove the most recently drawn line, we can implement a deletion method. This method will manage the list of lines and update the canvas.

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

Complete Code Example

Below is a simplified version of the complete code that consolidates everything discussed:

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

Conclusion

With the above guidance, you should be able to create a compelling, interactive matplotlib plot within a tkinter window where users can add and manipulate graphical lines. This integration not only helps visualize the data better but also enhances user interaction, making the application more useful and engaging. Happy coding!

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