Python Matplotlib叠加散点图 [英] Python matplotlib superimpose scatter plots

问题描述

我正在使用Python matplotlib.我想叠加散点图.我知道如何用命令叠加连续线图:

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()

但是它似乎与散布的工作方式不同.或者，可以将plot()与进一步指定线型的参数一起使用.如何进行? 谢谢

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

推荐答案

您只需调用scatter函数两次，matplotlib将为您叠加两个图.您可能要指定一种颜色，因为所有散点图的默认值为蓝色.这也许就是为什么您只看到一个情节的原因.

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()

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