这是我所追求的MWE，改编自这个问题：
from matplotlib.pyplot import plot, draw, show
def make_plot():
plot([1,2,3])
draw()
print 'continue computation'
print('Do something before plotting.')
# Now display plot in a window
make_plot()
answer = raw_input('Back to main and window visible? ')
if answer == 'y':
print('Excellent')
else:
print('Nope')
show()
我想要的是：我调用函数来绘图，出现绘图窗口，然后我返回到提示，这样我就可以输入一些值（基于刚刚显示的图像）并继续代码（窗口可以关闭或保留在那里，我不在乎）。
我得到的是带有绘图的窗口仅在代码完成后出现，这不好。
from matplotlib.pyplot import plot, ion, draw
ion() # enables interactive mode
plot([1,2,3]) # result shows immediately (implicit draw())
# at the end call show to ensure window won't close.
draw()
answer = raw_input('Back to main and window visible? ')
if answer == 'y':
print('Excellent')
else:
print('Nope')
如果我将
draw()
更改为
show()，也会发生同样的情况。
from multiprocessing import Process
from matplotlib.pyplot import plot, show
def plot_graph(*args):
for data in args:
plot(data)
show()
p = Process(target=plot_graph, args=([1, 2, 3],))
p.start()
print 'computation continues...'
print 'Now lets wait for the graph be closed to continue...:'
p.join()
这会导致
Python kernel has crashed
中出现
Canopy错误，并显示以下消息：
The kernel (user Python environment) has terminated with error code -6. This may be due to a bug in your code or in the kernel itself.
Output captured from the kernel process is shown below.
[IPKernelApp] To connect another client to this kernel, use:
[IPKernelApp] --existing /tmp/tmp9cshhw.json
QGtkStyle could not resolve GTK. Make sure you have installed the proper libraries.
[xcb] Unknown sequence number while processing queue
[xcb] Most likely this is a multi-threaded client and XInitThreads has not been called
[xcb] Aborting, sorry about that.
python: ../../src/xcb_io.c:274: poll_for_event: La declaración `!xcb_xlib_threads_sequence_lost' no se cumple.
我应该提一下，我正在
Canopy
运行
elementary OS，它基于
Ubuntu 12.04。
这个问题中发布的解决方案：
import numpy
from matplotlib import pyplot as plt
if __name__ == '__main__':
x = [1, 2, 3]
plt.ion() # turn on interactive mode
for loop in range(0,3):
y = numpy.dot(x, loop)
plt.figure()
plt.plot(x,y)
plt.show()
_ = raw_input("Press [enter] to continue.")
随着代码前进（即：用户点击 [enter]），这会显示空的绘图窗口，并且仅在代码完成后显示图像。
此解决方案（也在同一问题中）甚至不显示绘图窗口：
import numpy
from matplotlib import pyplot as plt
if __name__ == '__main__':
x = [1, 2, 3]
plt.ion() # turn on interactive mode, non-blocking `show`
for loop in range(0,3):
y = numpy.dot(x, loop)
plt.figure() # create a new figure
plt.plot(x,y) # plot the figure
plt.show() # show the figure, non-blocking
_ = raw_input("Press [enter] to continue.") # wait for input from the user
plt.close() # close the figure to show the next one.
plt.show(block=False)
，直接解除阻塞。对于您的示例，这可以阅读
from matplotlib.pyplot import plot, show
def make_plot():
plot([1,2,3])
show(block=False)
print('continue computation')
print('Do something before plotting.')
# Now display plot in a window
make_plot()
answer = input('Back to main and window visible? ')
if answer == 'y':
print('Excellent')
else:
print('Nope')
PyCharm、Spyder 和 Pyzo 对它们进行了测试。
对我有用的，虽然不是最佳的，是使用plt.pause
命令：
import matplotlib.pyplot as plt
def make_plot():
plt.plot([1, 2, 3])
# plt.show(block=False) # The plot does not appear.
# plt.draw() # The plot does not appear.
plt.pause(0.1) # The plot properly appears.
print('continue computation')
print('Do something before plotting.')
# Now display plot in a window
make_plot()
answer = input('Back to main and window visible? ')
if answer == 'y':
print('Excellent')
else:
print('Nope')
Canopy
一起工作（至少现在还不能），但我可以让代码运行起来，就像我想要使用
GeanyIDE 一样。这是对我有用的代码，这是对问题中第一段代码的一个非常小的修改，其中
show()命令从文件末尾移动到
make_plot()命令的正下方：
from matplotlib.pyplot import plot, draw, show
def make_plot():
plot([1,2,3])
draw()
print 'Plot displayed, waiting for it to be closed.'
print('Do something before plotting.')
# Now display plot in a window
make_plot()
# This line was moved up <----
show()
answer = raw_input('Back to main after plot window closed? ')
if answer == 'y':
print('Move on')
else:
print('Nope')
它并没有完全达到我想要的效果，但它已经足够接近了：它向用户显示一个绘图，等待绘图窗口关闭，然后继续执行代码。理想情况下，它不必等到绘图窗口关闭才能继续执行代码，但我想这总比没有好。
上面
Add 2 部分中的代码也以相同的方式工作，并且不需要在 Geany
中进行修改，但我更喜欢这个，因为它更简单。我会更新这个答案如果（什么时候？）我让它与
Canopy一起工作。
#!/usr/bin/env python3
import matplotlib.pyplot as plt
def make_plot():
plt.plot([1, 2, 3])
plt.show(block=False)
input('Back to main and window visible? ') #Here is the trick
print('continue computation')
print('Do something before plotting.')
# Now display plot in a window
make_plot()
answer = input('Quit now ?')
if answer == 'y':
print('Excellent')
else:
print('Nope')