Get Rid of Tick Labels for all subplots

Question

Is there a way to get rid of tick labels altogether when creating an array of subplots in Matplotlib? I am currently needing to specify each plot based on the row and column of a larger data set to which the plot corresponds. I've attempted to use the ax.set_xticks([]) and the similar y-axis command, to no avail.

I recognize that it's probably an unusual request to want to make a plot with no axis data whatsoever, but that's what I need. And I need it to automatically apply to all of the subplots in the array.

Answer 1

You have the right method. Maybe you are not applying the set_xticks to the correct axes.

An example:

import matplotlib.pyplot as plt
import numpy as np

ncols = 5
nrows = 3

# create the plots
fig = plt.figure()
axes = [ fig.add_subplot(nrows, ncols, r * ncols + c) for r in range(0, nrows) for c in range(0, ncols) ]

# add some data
for ax in axes:
    ax.plot(np.random.random(10), np.random.random(10), '.')

# remove the x and y ticks
for ax in axes:
    ax.set_xticks([])
    ax.set_yticks([])

This gives:

Note that each axis instance is stored in a list (axes) and then they can be easily manipulated. As usual, there are several ways of doing this, this is just an example.