如何在python中以相同的颜色绘制同一图形中的10条迹线? [英] How to plot 10 traces in same figure with different color in python?

问题描述

我需要在python中绘制10条具有不同颜色的迹线，每条迹线都位于具有相同扩展名.numpy.的不同文件中，这意味着我有10个文件:

I need to plot 10 traces with different color in python, every trace is in a different file with the same extension .numpy., I mean by that that I have 10 files:

trace1
trace2
trace3
trace4
trace5
trace6
trace7
trace8
trace9
trace10

这是我的代码，只绘制一条迹线:

This is my code to plot just one trace:

import matplotlib.pyplot as plt 
import numpy as np
dataArray= np.load(r'/home/user/trace1.npy')
print(dataArray)
plt.plot(dataArray.T)
plt.show()

根据您的要求，我必须将所有文件都放在同一个文件中吗?为了绘制它们?

According to you must I put all of them in the same file? In order to plot them?

先谢谢了.

推荐答案

不，您不必将所有内容都放在同一个文件中.您可以简单地遍历文件列表，然后绘制到相同的axes中.对于颜色，如果您只是为colormap抓取颜色，这是最简单的.这是一个小例子:

No, you don't have to put everything in the same file. You can simply loop over a list of files and plot into the same axes. For the color, it is the easiest if you simply grab a color for a colormap. Here is a little example:

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

# Read in list of files. You might want to look into os.listdir()
traces=[list of filepaths to your .npy files]

# Create figure 
fig=plt.figure()
fig.show()
ax=fig.add_subplot(111)

# Grab colormap
cmap = matplotlib.cm.get_cmap('jet')

# Loop through traces and plot them
for j,trace in enumerate(traces):

    # Load file
    dataArray= np.load(trace)

    # Grab color
    c=cmap(float(j)/len(traces))

    # Plot
    ax.plot(dataArray.T,color=c)

plt.show()

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