Need to add space between SubPlots for X axis label, maybe remove labelling of axis notches

Question

Looking to add in vertical space between plotted graphs to allow a X-Axis label to show:

Each graph needs to have space to show the day, currently the last 2 graphs are the only one's that show simply because the graphs are overlapping it.

Also curious if I could actually remove the notch labels for the X-Axis for the graphs above the one's marked Thursday/Friday, i.e. the bottom X-axis is the only one that shows. Same for the Y-Axis, but only the graphs on the left having the scale shown.

*Unfortunately I can't post an image to show this since I don't have enough rep.

Code snippet:

import mathlib.pyplot as pyplot fig = pyplot.figure() ax1 = fig.add_subplot(4,2,1) ax1.set_yscale('log') ax2 = fig.add_subplot(4,2,2, sharex=ax1, sharey=ax1) ax3 = fig.add_subplot(4,2,3, sharex=ax2, sharey=ax2) ax4 = fig.add_subplot(4,2,4, sharex=ax3, sharey=ax3) ax5 = fig.add_subplot(4,2,5, sharex=ax4, sharey=ax4) ax6 = fig.add_subplot(4,2,6, sharex=ax5, sharey=ax5) ax7 = fig.add_subplot(4,2,7, sharex=ax6, sharey=ax6) ax1.plot(no_dict["Saturday"],'k.-',label='Saturday') ax1.set_xlabel('Saturday') ax1.axis([0,24,0,10000]) pyplot.suptitle('Title') pyplot.xlabel('Hour in 24 Hour Format') ax2.plot(no_dict["Sunday"],'b.-',label='Sunday') ax2.set_xlabel('Sunday') ... 

Answer 1

Use subplots_adjust. In your case this looks good:

fig.subplots_adjust(hspace=.5) 

to remove the tick labels do this:

ax1.set_xticklabels([]) 

Similar for the yticklabels. However, you cannot share the x-axis with the plots that do have tick labels.

Answer 2

To change the spacing around a certain subplot, instead of all of them, you can adjust the position of the axes of that subplot using:

bbox=plt.gca().get_position() offset=-.03 plt.gca().set_position([bbox.x0, bbox.y0 + offset, bbox.x1-bbox.x0, bbox.y1 - bbox.y0]) 

If offset < 0, the subplot is moved down. If offset > 0, the subplot is moved up.

Note that the subplot will disappear if offset is so big that the new position of the subplot overlaps with another subplot.