CODEWITHSUNDEEP
pythonplotmatplotlibscatter-plot
kiriloff
kiriloff

Reputation: 26335

Superimpose scatter plots

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

Upvotes: 39

Views: 175657

Answers (3)

Erick Audet
Erick Audet

Reputation: 344

Here's an other way:

X = np.linspace(0,5,100)
Y1 = X + 2*np.random.random(X.shape)
Y2 = X**2 + np.random.random(X.shape)

plt.plot(Y1, label = "Y1")
plt.plot(Y2, label = "Y2")
plt.tight_layout()
plt.xlabel("X")
plt.ylabel("Y")
plt.legend()

Upvotes: 1

Gadi Oron
Gadi Oron

Reputation: 978

If you wish to continue using plot you can use the axis object returned by subplots:

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)

fig, ax = plt.subplots()
ax.plot(X,Y1,'o')
ax.plot(X,Y2,'x')
plt.show()

Upvotes: 20

Hooked
Hooked

Reputation: 88118

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

Upvotes: 56

Related Questions