remove overlapping tick marks on subplot in matplotlib

Question

I\'ve create the following set of subplots using the following function:

def create31fig(size,xlabel,ylabel,title=None):
    fig = plt.figure(figsize=(size,size)         


        

Answer 1

In the ticker module there is a class called MaxNLocator that can take a prune kwarg.
Using that you can remove the topmost tick of the 2nd and 3rd subplots:

import matplotlib.pyplot as plt
from matplotlib.ticker import MaxNLocator # added 

def create31fig(size,xlabel,ylabel,title=None):
    fig = plt.figure(figsize=(size,size))
    ax1 = fig.add_subplot(311)
    ax2 = fig.add_subplot(312)
    ax3 = fig.add_subplot(313)
    plt.subplots_adjust(hspace=0.001)
    plt.subplots_adjust(wspace=0.001)
    ax1.set_xticklabels([])
    ax2.set_xticklabels([])
    xticklabels = ax1.get_xticklabels() + ax2.get_xticklabels()
    plt.setp(xticklabels, visible=False)
    ax1.set_title(title)
    nbins = len(ax1.get_xticklabels()) # added 
    ax2.yaxis.set_major_locator(MaxNLocator(nbins=nbins, prune='upper')) # added 
    ax2.set_ylabel(ylabel)
    ax3.yaxis.set_major_locator(MaxNLocator(nbins=nbins,prune='upper')) # added 
    ax3.set_xlabel(xlabel)
    return ax1,ax2,ax3

create31fig(5,'xlabel','ylabel',title='test')

Sample image after making those adjustments:

Aside: If the overlapping x- and y- labels in the lowest subplot are an issue consider "pruning" one of those as well.