Superimpose scatter plots

matplotlib, plot, python, scatter-plot

Solution

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()

Problem

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

Original source