本文介绍了在同一轴上绘制在for循环内生成的多个图python的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我的代码如下,问题是我没有242个图,而是有一个图.我尝试将 plt.show()
放在循环之外,但没有用.
My code is as follows, the problem is instead of having one plot, I get 242 plots. I tried putting the plt.show()
outside the loop, it didn't work.
import numpy as np
import matplotlib.pyplot as plt
import csv
names = list()
with open('selected.csv','rb') as infile:
reader = csv.reader(infile, delimiter = ' ')
for row in reader:
names.append(row[0])
names.pop(0)
for j in range(len(names)):
filename = '/home/mh/Masters_Project/Sigma/%s.dat' %(names[j])
average, sigma = np.loadtxt(filename, usecols = (0,1), unpack = True, delimiter = ' ')
name = '%s' %(names[j])
plt.figure()
plt.xlabel('Magnitude(average)', fontsize = 16)
plt.ylabel('$\sigma$', fontsize = 16)
plt.plot(average, sigma, marker = '+', linestyle = '', label = name)
plt.legend(loc = 'best')
plt.show()
推荐答案
您的问题是,您每次使用 plt.figure()
.从您的 for
循环中删除此行,它应该可以正常工作,如下面的简短示例所示.
Your issue is that you're creating a new figure with every iteration using plt.figure()
. Remove this line from your for
loop and it should work fine, as this short example below shows.
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(10)
for a in [1.0, 2.0, 3.0]:
plt.plot(x, a*x)
plt.show()
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