情节:颜色都大于不同的颜色 [英] Plot: color all larger than different color

问题描述

在绘图中，如何将高于阈值的所有值着色为不同的颜色?就像上面的所有东西 mean + std 或 mean + 2*std ?

In a plot, how can I color all values above a threshold in a different color? Like everything above mean + std or mean + 2*std ?

推荐答案

使用 LineCollection 是正确的方法，但您也可以使用掩码数组在一行代码中完成一个简单的版本:

Using a LineCollection is the proper way to go, but you can also do an easy version in one line of code using masked arrays:

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

# make a weird continuous function
r, t = np.random.random((100,)), np.arange(0, 100, .01)    
y = sum(r[3*i+0]*np.sin(r[3*i+1]*t + 10*r[3*+2]) for i in range(10))

# generate the masked array
mask = ma.masked_less(y, 1.1)

plt.plot(t, y, 'k', linewidth=3)
plt.plot(t, mask, 'r', linewidth=3.2)
plt.show()

这里的作弊是它使用过滤后的数据绘制原始数据，因此有时可以显示底层曲线，具体取决于它的呈现方式.我把这里的红线加粗了一点，但我不确定它是否有所作为.优点是它基本上是一行，ma.masked_less(y, 1.1)，阈值为1.1.

The cheat here is that it draws over the original data with the filtered data so sometimes the underlying curve can show, depending on how it's rendered. I made the red line here a bit thicker, but I'm not sure whether it made a difference. The advantage is that it's basically one line, ma.masked_less(y, 1.1), for a threshold of 1.1.

这里需要掩码数组的原因是，否则会有一条线连接不同的段，而掩码会导致这些点不会被绘制.

The reason masked arrays are needed here is that otherwise there would be a line connecting the different segments, and the mask causes these points to not be plotted.

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