如何在for循环中使用Matplotlib处理多个图形 [英] How to handle multi figures with matplotlib in a for loop
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问题描述
我只想在1个循环中将不同的事物绘制在两个不同的图形中(我有一个巨大的矩阵,我不想在循环中放置2个),如下所示:
I want to plot different things in two different figures in only 1 loop (I have a huge matrice that I don't want to put 2 for loops) like the following:
plt.figure(0)
plt.figure(1)
for i in range(10):
#plot it only on the figure(0)
plt.plot(np.arange(10), np.power(np.arange(10), i), label = 'square')
#plot it only on the figure(1)
plt.plot(np.arange(10), np.power(np.arange(10), 1/i), label = '1/square')
plt.legend() #if it does for both figures seperately
plt.show()
我怎样才能做到这一点?非常感谢.
How can I achieve this? Thanks a lot.
推荐答案
使用 pyplot state-like interface
您需要激活"绘制之前的各个图.
Using the pyplot state-like interface
You would need to "activate" the respective figure before plotting to it.
plt.figure(0)
plt.figure(1)
for i in range(10):
#plot it only on the figure(0)
plt.figure(0)
plt.plot(np.arange(10), np.power(np.arange(10), i), label = 'square')
#plot it only on the figure(1)
plt.figure(1)
plt.plot(np.arange(10), np.power(np.arange(10), 1/i), label = '1/square')
#legend for figure(0)
plt.figure(0)
plt.legend()
#legend for figure(1)
plt.figure(1)
plt.legend()
plt.show()
使用面向对象的风格
直接使用对象及其方法.
Using the object oriented style
Work with the objects and their methods directly.
fig0, ax0 = plt.subplots()
fig1, ax1 = plt.subplots()
for i in range(10):
#plot it only on the fig0
ax0.plot(np.arange(10), np.power(np.arange(10), i), label = 'square')
#plot it only on the fig1
ax1.plot(np.arange(10), np.power(np.arange(10), 1/i), label = '1/square')
ax0.legend()
ax1.legend()
plt.show()
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