在matplotlib上的散点图中为每个系列设置不同的颜色 [英] Setting different color for each series in scatter plot on matplotlib

问题描述

假设我有三个数据集:

X = [1,2,3,4]
Y1 = [4,8,12,16]
Y2 = [1,4,9,16]

我可以散布此图:

from matplotlib import pyplot as plt
plt.scatter(X,Y1,color='red')
plt.scatter(X,Y2,color='blue')
plt.show()

我该如何用10套来做到这一点?

How can I do this with 10 sets?

我进行了搜索，可以找到我所问的内容的任何参考.

I searched for this and could find any reference to what I'm asking.

(希望)澄清我的问题

如果我多次调用散点图，则只能在每个散点图上设置相同的颜色.另外，我知道我可以手动设置颜色阵列，但是我敢肯定有更好的方法可以做到这一点. 然后我的问题是:如何自动散布我的多个数据集，每个数据集具有不同的颜色.

If I call scatter multiple times, I can only set the same color on each scatter. Also, I know I can set a color array manually but I'm sure there is a better way to do this. My question is then, "How can I automatically scatter-plot my several data sets, each with a different color.

如果有帮助，我可以轻松地为每个数据集分配一个唯一的编号.

If that helps, I can easily assign a unique number to each data set.

推荐答案

我不知道手动"是什么意思.您可以选择一个颜色图并足够容易地创建颜色阵列:

I don't know what you mean by 'manually'. You can choose a colourmap and make a colour array easily enough:

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm

x = np.arange(10)
ys = [i+x+(i*x)**2 for i in range(10)]

colors = cm.rainbow(np.linspace(0, 1, len(ys)))
for y, c in zip(ys, colors):
    plt.scatter(x, y, color=c)

或者您可以使用itertools.cycle制作自己的颜色循环仪，并使用next指定要循环显示的颜色，以获得所需的颜色.例如，使用3种颜色:

Or you can make your own colour cycler using itertools.cycle and specifying the colours you want to loop over, using next to get the one you want. For example, with 3 colours:

import itertools

colors = itertools.cycle(["r", "b", "g"])
for y in ys:
    plt.scatter(x, y, color=next(colors))

请考虑一下，也许也不要在第一个中同时使用zip是更清洁的方法:

Come to think of it, maybe it's cleaner not to use zip with the first one too:

colors = iter(cm.rainbow(np.linspace(0, 1, len(ys))))
for y in ys:
    plt.scatter(x, y, color=next(colors))

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