插入图中的重叠刻度线matplotlib

Question

In an older version of Matplotlib (with WinPython 3.4.2.3), if I wanted to include a subplot as an inset, it hid the tickmarks below it: http://imgur.com/GsKtCUA,KoQGek6#1

In an upgraded version (with Winpython 3.4.3.2), it overlays both of the axis tick marks: http://imgur.com/GsKtCUA,KoQGek6#0

How do I revert to the old behavior, where the bottom plot's ticks are hidden?

Thanks!

Here is an overview of my plotting code:

fig=plt.figure(8, figsize=(8,7), dpi=300)

ax1 = fig.add_axes([0.1, 0.1, 0.8, 0.8], xscale='log', xlim=(5e-8, 1e-4), xlabel='...', ylabel='...',ylim=(-0.3,9)) # main axes
ax2 = fig.add_axes([0.52, .52, .38,.38], xscale='log', xlim=(5e-8, 1e-4), xlabel='...', ylabel='...') # inset axes

# main figure
ax1.plot(...)

# insert
ax2.plot(...)

xticks = ax2.xaxis.get_major_ticks()
print(xticks)
xticks[5].label1.set_visible(False)
#xticks[-2].label1.set_visible(False)

yticks = ax2.yaxis.get_major_ticks()
print(yticks)
yticks[-1].label1.set_visible(False)


#start3, end3 = ax2.get_ylim()
ax2.yaxis.set_ticks([0,5,10])

Answer 1

如果我在ax2.plot（）中使用关键字axisbg ='white'，它将按预期工作。