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Home/ Questions/Q 9001797
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Editorial Team
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Editorial Team
Asked: June 16, 20262026-06-16T00:29:03+00:00 2026-06-16T00:29:03+00:00

I’m writing some python functions that deals with manipulating sets of 2D/3D coordinates, mostly

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I’m writing some python functions that deals with manipulating sets of 2D/3D coordinates, mostly 2D.

The issue is debugging such code is made difficult just by looking at the points. So I’m looking for some software that could display the points and showing which points have been added/removed after each step. Basically, I’m looking for a turn my algorithm into an animation.

I’ve seen a few applets online that do things similar what I was looking for, but I lack the graphics/GUI programming skills to write something similar at this point, and I’m not sure it’s wise to email the authors of things whose last modified timestamps reads several years ago. I should note I’m not against learning some graphics/GUI programming in the process, but I’d rather not spend more than 1-3 days if it can’t be helped, although such links are still appreciated. In this sense, linking to a how-to site for writing such a step-by-step program might be acceptable.

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-16T00:29:04+00:00Added an answer on June 16, 2026 at 12:29 am

    With the matplotlib library it is very easy to get working animations up. Below is a minimal example to work with. The function generate_data can be adapted to your needs:

    import numpy as np
    import matplotlib.pyplot as plt 
    import matplotlib.animation as animation
    
    def generate_data():
        X = np.arange(25)
        Y = X**2 * np.random.rand(25)
        return X,Y 
    
    def update(data):
        mat[0].set_xdata(data[0])
        mat[0].set_ydata(data[1])
        return mat 
    
    def data_gen():
        while True:
            yield generate_data()
    
    fig, ax = plt.subplots()
    X,Y = generate_data()
    mat = ax.plot(X,Y,'o')
    ani = animation.FuncAnimation(fig, update, data_gen, interval=500,
                                  save_count=10)
    
    ani.save('animation.mp4')
    plt.show()
    

    enter image description here

    This example was adapted from a previous answer and modified to show a line plot instead of a colormap.

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