ipympl not working nicely with interact

Trying to follow some simple examples of Jupyter widgets with matplotlib, but I'm having issues when using the ipympl backend. The first update to a plot produces a second plot (overplotted), and the second update just erases the figure window altogether. This does not happen when using inline.

Here's some simple code to reproduce the issue:

%matplotlib ipympl
import matplotlib.pyplot as plt
from ipywidgets import interact

def f(n):
    plt.plot([0,1,2],[0,1,n])
    plt.show()
interact(f,n=(0,10));

If I use inline, this will update the line plot. With ipympl it fails.

I am using ipympl 0.1.0 from Anaconda, together will other packages:

ipywidgets                7.0.0              py36_intel_0  [intel]  intel
ipympl                    0.1.0                    py36_1    conda-forge
matplotlib                2.0.2           np113py36_intel_1  [intel]  intel
ipython                   6.1.0              py36_intel_0  [intel]  intel
jupyter                   1.0.0              py36_intel_5  [intel]  intel
jupyter_client            5.1.0              py36_intel_0  [intel]  intel
jupyter_console           5.1.0              py36_intel_0  [intel]  intel
jupyter_core              4.3.0              py36_intel_1  [intel]  intel

运行提供的 ipympl 和 interact reproducer，然后将其 figure-update 行为与 inline backend 进行比较。跟踪涉及重复调用 interact 的 ipympl backend 和 widget update 路径；完成标准是更新能够保持一个 plot 可见，而不会擦除 figure。