##########################
## First (Upper) Plot ##
##########################
fig = figure("pyplot_brokenAxisSubplot",figsize=(10,10))
axes = fig.subplots(nrows=2, sharex=true)
ax = axes[1]
divider = axes_grid1.make_axes_locatable(ax)
ax2 = divider.new_vertical(size="100%", pad=0.1)
fig.add_axes(ax2)
# Lower Portion of First Plot
ax.scatter(x, y)
ax.set_ylim(0, 1)
ax.spines["top"].set_visible(false)
# Upper Portion of First Plot
ax2.scatter(x, y2)
ax2.set_ylim(10, 11)
ax2.tick_params(bottom="off", labelbottom="off")
ax2.spines["bottom"].set_visible(false)
###############################
## Add Line Break Markings ##
###############################
# From https://matplotlib.org/examples/pylab_examples/broken_axis.html
# Upper Line Break Markings
d = 0.015 # how big to make the diagonal lines in axes coordinates
ax2.plot((-d, +d), (-d, +d), transform=ax2.transAxes, color="k", clip_on=false,linewidth=0.8) # Left diagonal
ax2.plot((1 - d, 1 + d), (-d, +d), transform=ax2.transAxes, color="k", clip_on=false,linewidth=0.8) # Right diagonal
# Lower Line Break Markings
ax.plot((-d, +d), (1 - d, 1 + d), transform=ax.transAxes, color="k", clip_on=false,linewidth=0.8) # Left diagonal
ax.plot((1 - d, 1 + d), (1 - d, 1 + d), transform=ax.transAxes, color="k", clip_on=false,linewidth=0.8) # Right diagonal
###################
## Second Plot ##
###################
axes[2].scatter(x, y)
gcf() # Needed for IJulia to plot inline