动态绘图可在IDLE中使用，但不能在Jupyter Notebook中使用 [英] Dynamic plot works in IDLE, but not jupyter notebook

问题描述

通过空闲(Python 3.6空闲)运行时，下面的代码可以正常工作

The code below works fine when running through idle (Python 3.6 idle)

import matplotlib.pyplot as plt
import time
import random
#%matplotlib inline

ysample = random.sample(range(-50, 50), 100)

xdata = []
ydata = []

plt.show()

axes = plt.gca()
axes.set_xlim(0, 100)
axes.set_ylim(-50, +50)
line, = axes.plot(xdata, ydata, 'r-')

for i in range(100):
    xdata.append(i)
    ydata.append(ysample[i])
    line.set_xdata(xdata)
    line.set_ydata(ydata)
    plt.draw()
    plt.pause(1e-17)
    time.sleep(0.1)

# add this if you don't want the window to disappear at the end
plt.show()

将此代码传输到jupyter笔记本时，我添加了魔术命令

When transferring this code to jupyter notebook, I'm adding the magic command

%matplotlib notebook应该用于动态绘图.

%matplotlib notebook which I'm told should be used for dynamic plots.

(我尝试了％matplotlib内联，但最终得到了静态图)

(I tried %matplotlib inline, but I end up with a static plot)

但是，我最终遇到了这个错误

However, I'm ending up with this error

 NotImplementedError                       Traceback (most recent call last)
<ipython-input-7-2f88f762e22a> in <module>()
     22     line.set_ydata(ydata)
     23     plt.draw()
---> 24     plt.pause(1e-17)
     25     time.sleep(0.1)
     26 

 C:\Users\Moondra\AppData\Local\Programs\Python\Python36\lib\site-
   packages\matplotlib\pyplot.py in pause(interval)
    298                 canvas.draw()
    299             show(block=False)
--> 300             canvas.start_event_loop(interval)
    301             return
    302 

C:\Users\Moondra\AppData\Local\Programs\Python\Python36\lib\site-packages\matplotlib\backends\backend_nbagg.py in start_event_loop(self, timeout)
    192 
     193     def start_event_loop(self, timeout):
--> 194         FigureCanvasBase.start_event_loop_default(self, timeout)
    195 
    196     def stop_event_loop(self):

C:\Users\Moondra\AppData\Local\Programs\Python\Python36\lib\site-
packages\matplotlib\backend_bases.py in start_event_loop_default(self, timeout)
   2451         self._looping = True
   2452         while self._looping and counter * timestep < timeout:
-> 2453             self.flush_events()
   2454             time.sleep(timestep)
   2455             counter += 1

     C:\Users\Moondra\AppData\Local\Programs\Python\Python36\lib\site-
 packages\matplotlib\backend_bases.py in flush_events(self)
   2400         backends with GUIs.
   2401         """
-> 2402         raise NotImplementedError
   2403 
   2404     def start_event_loop(self, timeout):

NotImplementedError:`

推荐答案

plt.draw()不适用于%matplotlib notebook，它打算以交互方式使用，就像您在IDLE中使用它一样.

plt.draw() doesn't work with the %matplotlib notebook, it's meant to be used in interactive mode, just as you used it in IDLE.

为克服这一问题，可以使用一个动画子模块.

To overcome this there is an animation submodule which can be used.

import matplotlib.pyplot as plt
import matplotlib.animation
import time
import random
%matplotlib notebook

ysample = random.sample(range(-50, 50), 100)

xdata = []
ydata = []

axes = plt.gca()
axes.set_xlim(0, 100)
axes.set_ylim(-50, +50)
line, = axes.plot(xdata, ydata, 'r-')

def update(i):
    xdata.append(i)
    ydata.append(ysample[i])
    line.set_xdata(xdata)
    line.set_ydata(ydata)

ani= matplotlib.animation.FuncAnimation(plt.gcf(), update, frames=100,
                                       interval=100, repeat=False)

plt.show()

有关更多示例，请参见 matplotlib页面.

For more examples refer to the matplotlib page.

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