python - Matplotlib - Broken axis example: uneven subplot size -

i haven't found solution adjust height of bottom , top plot of broken axis example of matplotlib.

btw: space between 2 plots can adjusted by:

plt.subplots_adjust(hspace=0.03) 

update:

i've figured out using gridspec:

""" broken axis example, y-axis have portion cut out. """ import matplotlib.pylab plt # new: import matplotlib.gridspec gridspec import numpy np  pts = np.array([ 0.015,  0.166,  0.133,  0.159,  0.041,  0.024,  0.195,     0.039, 0.161,  0.018,  0.143,  0.056,  0.125,  0.096,  0.094, 0.051,     0.043,  0.021,  0.138,  0.075,  0.109,  0.195,  0.05 , 0.074, 0.079,     0.155,  0.02 ,  0.01 ,  0.061,  0.008]) pts[[3,14]] += .8  # new: gs = gridspec.gridspec(2, 1, height_ratios=[1, 3]) ax = plt.subplot(gs[0]) ax2 = plt.subplot(gs[1]) plt.subplots_adjust(hspace=0.03)  ax.plot(pts) ax2.plot(pts) ax.set_ylim(.78,1.) ax2.set_ylim(.0,.22) ax.spines['bottom'].set_visible(false) ax2.spines['top'].set_visible(false) ax.xaxis.tick_top() ax.tick_params(labeltop='off') ax2.xaxis.tick_bottom()  d = .03 kwargs = dict(transform=ax.transaxes, color='k', clip_on=false) ax.plot((0-d,0+d), (0-d,0+d), **kwargs)   # top-left diagonal ax.plot((1-d,1+d), (0-d,0+d), **kwargs)   # top-right diagonal kwargs.update(transform=ax2.transaxes)  # switch bottom axes ax2.plot((0-d,0+d),(1-d,1+d), **kwargs) # bottom-left diagonal ax2.plot((1-d,1+d),(1-d,1+d), **kwargs) # bottom-right diagonal  plt.show() 

the remaining issues are:

1. the 2 parallel line segments (marker broken axis) not parallel anymore because of different length of y-axis.

2. a further issue how position conveniently ylabel.

finally don't see option sharex=true in gridspec. matter?

update:

added ylim , ylim2 parameters determine height ratios in such way data units equal:

ylim  = [0.8, 1.0] ylim2 = [0.0, 0.3] ylimratio = (ylim[1]-ylim[0])/(ylim2[1]-ylim2[0]+ylim[1]-ylim[0]) ylim2ratio = (ylim2[1]-ylim2[0])/(ylim2[1]-ylim2[0]+ylim[1]-ylim[0]) gs = gridspec.gridspec(2, 1, height_ratios=[ylimratio, ylim2ratio]) ax = plt.subplot(gs[0]) ax2 = plt.subplot(gs[1]) ax.set_ylim(ylim) ax2.set_ylim(ylim2) 

my own solution looks (using gridspec, assuming units of 2 y-axis should equal):

 """  broken axis example, y-axis have portion cut out.  """  import matplotlib.pylab plt  import matplotlib.gridspec gridspec  import numpy np   pts = np.array([ 0.015,  0.166,  0.133,  0.159,  0.041,  0.024,  0.195,      0.039, 0.161,  0.018,  0.143,  0.056,  0.125,  0.096,  0.094, 0.051,      0.043,  0.021,  0.138,  0.075,  0.109,  0.195,  0.05 , 0.074, 0.079,      0.155,  0.02 ,  0.01 ,  0.061,  0.008])  pts[[3,14]] += .8   ylim  = [0.82, 1.0]  ylim2 = [0.0, 0.32]  ylimratio = (ylim[1]-ylim[0])/(ylim2[1]-ylim2[0]+ylim[1]-ylim[0])  ylim2ratio = (ylim2[1]-ylim2[0])/(ylim2[1]-ylim2[0]+ylim[1]-ylim[0])  gs = gridspec.gridspec(2, 1, height_ratios=[ylimratio, ylim2ratio])  fig = plt.figure()  ax = fig.add_subplot(gs[0])  ax2 = fig.add_subplot(gs[1])  ax.plot(pts)  ax2.plot(pts)  ax.set_ylim(ylim)  ax2.set_ylim(ylim2)  plt.subplots_adjust(hspace=0.03)   ax.spines['bottom'].set_visible(false)  ax2.spines['top'].set_visible(false)  ax.xaxis.tick_top()  ax.tick_params(labeltop='off')  ax2.xaxis.tick_bottom()   ax2.set_xlabel('xlabel')  ax2.set_ylabel('ylabel')  ax2.yaxis.set_label_coords(0.05, 0.5, transform=fig.transfigure)   kwargs = dict(color='k', clip_on=false)  xlim = ax.get_xlim()  dx = .02*(xlim[1]-xlim[0])  dy = .01*(ylim[1]-ylim[0])/ylimratio  ax.plot((xlim[0]-dx,xlim[0]+dx), (ylim[0]-dy,ylim[0]+dy), **kwargs)  ax.plot((xlim[1]-dx,xlim[1]+dx), (ylim[0]-dy,ylim[0]+dy), **kwargs)  dy = .01*(ylim2[1]-ylim2[0])/ylim2ratio  ax2.plot((xlim[0]-dx,xlim[0]+dx), (ylim2[1]-dy,ylim2[1]+dy), **kwargs)  ax2.plot((xlim[1]-dx,xlim[1]+dx), (ylim2[1]-dy,ylim2[1]+dy), **kwargs)  ax.set_xlim(xlim)  ax2.set_xlim(xlim)   plt.savefig('broken_axis-mod.png')