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Editorial Team
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Editorial Team
Asked: June 6, 20262026-06-06T10:22:03+00:00 2026-06-06T10:22:03+00:00

I am using Python matplotlib. i want to superimpose scatter plots. I know how

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I am using Python matplotlib. i want to superimpose scatter plots. I know how to superimpose continuous line plots with commands:

>>> plt.plot(seriesX)
>>> plt.plot(Xresampl)
>>> plt.show()

But it does not seem to work the same way with scatter. Or maybe using plot() with a further argument specifying line style. How to proceed?
thanks

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  1. Editorial Team
    Editorial Team
    2026-06-06T10:22:04+00:00Added an answer on June 6, 2026 at 10:22 am

    You simply call the scatter function twice, matplotlib will superimpose the two plots for you. You might want to specify a color, as the default for all scatter plots is blue. This is perhaps why you were only seeing one plot.

    import numpy as np
    import pylab as plt
    
    X = np.linspace(0,5,100)
    Y1 = X + 2*np.random.random(X.shape)
    Y2 = X**2 + np.random.random(X.shape)
    
    plt.scatter(X,Y1,color='k')
    plt.scatter(X,Y2,color='g')
    plt.show()
    

    enter image description here

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