问题描述
我已经对SO进行了搜索，但是还没有找到解决我的问题的正确解决方案".我在要绘制的某些数据上运行了一个循环.在循环的每个步骤中，我都使用plt.show()绘制图形.但是，由于这是一个阻止功能，因此我一直处于困顿状态，直到手动关闭窗口，然后循环继续并显示下一个图.
I've done a search on SO but haven't quite found the right "solution" to my problem. I am running a loop on some data that I wish to plot. At each step of the loop -- I plot the figure with plt.show(). However, since this is a blocking function, i am stuck until I manually close the window and then the loop continues and the next plot shows up.
我想做的是能够绑定一个按键事件来关闭图形并继续循环(而不是使用鼠标"X"出图形).
What I would like to do is be able to bind a key press event to close the figure and continue the loop (rather than using the mouse to "X" out of the figure).
如果这不可能，我想设置一个计时器来关闭图形并继续循环.
If this is not possible, I would like to set a timer to close the figure and continue the loop.
我所有的问题似乎都涉及到plt.show()阻止了其他所有内容的事实-可以解决这个问题吗?
All my issues seem to deal with the fact that plt.show() is blocking everything else -- any way around this?
关于我的绘图的一些注释:它们使用相同的轴，但包含一个散点图，填充框和注释-它们总是在变化.
Some notes on my plots: They use the same axes, but contain a scatter plot, fill boxes, and annotations -- which are always changing.
谢谢！
推荐答案
尝试使用matplotlib.pyplot中的ion:
import matplotlib.pyplot as pp
pp.ion()
fig = pp.figure()
有关ion和交互式与非交互式用法的更多信息，请此处
More info about ion and interactive vs non-interactive usage here
或者，如果您想使用按钮按下方法，请分配一个回调
Alternatively if you want to go with the button press approach assign a callback
def moveon(event):
pp.close()
cid = fig.canvas.mpl_connect('key_press_event', moveon)
pp.show()
由于show命令正在阻塞，因此事件计时器更加棘手，因此可能必须涉及线程处理.
An event timer is more tricky because the show command is blocking, so it would probably have to involve threading.
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