python matplotlib 中的交互模式
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Interactive mode in matplotlib
提问by Sharath
I want to dynamically update the scatter plot based on the y-axis data received from a socket connection. I used python matplot lib in interactive mode to do this, but during dynamic updation if i move the window to a different location or minimize the window then the plot updation stops abruptly. How to do this?
我想根据从套接字连接接收到的 y 轴数据动态更新散点图。我在交互模式下使用 python matplot lib 来执行此操作，但是在动态更新期间，如果我将窗口移动到不同的位置或最小化窗口，则绘图更新会突然停止。这个怎么做？
I have attached a sample dynamic updation code used here and the same problem appears here also.
我附上了此处使用的示例动态更新代码，此处也出现了相同的问题。
import matplotlib.pyplot as plt
import random
import time
items = [25.5,26.7,23.4,22.5,20,13.4,15.6,-12,-16,20]
x = [1,2,3,4,5,6,7,8,9,10]
plt.ion() # Interactive on
for i in range(1,100):
plt.title('graph plotting')
plt.ylabel('temperature')
plt.xlabel('time')
random.shuffle(items)
plt.plot(x,items,'ob-')
plt.axis([0, 10, -40, 40])
plt.draw()
#time.sleep(2)
plt.clf()
plt.close()
回答by Eli Bendersky
回答by Ber
For this to work, you need to have a main loop for event handling, and your own event handler to redraw the plot when the window is resized or refreshed.
为此，您需要有一个用于事件处理的主循环，以及您自己的事件处理程序，以便在调整窗口大小或刷新窗口时重新绘制绘图。
You'll find many examples for this on the web, or in the tutorials.
您可以在网络上或教程中找到许多相关示例。
I think this is best handled by using a UI toolkit (e.g. wxPython), not using matplotlib interactive mode. I had a similar questionin the past and got some good answers.
我认为这最好通过使用 UI 工具包（例如wxPython）来处理，而不是使用 matplotlib 交互模式。我过去有过类似的问题，并得到了一些很好的答案。
