[python] Hiding axis text in matplotlib plots

I'm trying to plot a figure without tickmarks or numbers on either of the axes (I use axes in the traditional sense, not the matplotlib nomenclature!). An issue I have come across is where matplotlib adjusts the x(y)ticklabels by subtracting a value N, then adds N at the end of the axis.

This may be vague, but the following simplified example highlights the issue, with '6.18' being the offending value of N:

import matplotlib.pyplot as plt
import random
prefix = 6.18

rx = [prefix+(0.001*random.random()) for i in arange(100)]
ry = [prefix+(0.001*random.random()) for i in arange(100)]
plt.plot(rx,ry,'ko')

frame1 = plt.gca()
for xlabel_i in frame1.axes.get_xticklabels():
    xlabel_i.set_visible(False)
    xlabel_i.set_fontsize(0.0)
for xlabel_i in frame1.axes.get_yticklabels():
    xlabel_i.set_fontsize(0.0)
    xlabel_i.set_visible(False)
for tick in frame1.axes.get_xticklines():
    tick.set_visible(False)
for tick in frame1.axes.get_yticklines():
    tick.set_visible(False)

plt.show()

The three things I would like to know are:

1. How to turn off this behaviour in the first place (although in most cases it is useful, it is not always!) I have looked through matplotlib.axis.XAxis and cannot find anything appropriate

2. How can I make N disappear (i.e. X.set_visible(False))

3. Is there a better way to do the above anyway? My final plot would be 4x4 subplots in a figure, if that is relevant.

If you want to hide just the axis text keeping the grid lines:

frame1 = plt.gca()
frame1.axes.xaxis.set_ticklabels([])
frame1.axes.yaxis.set_ticklabels([])

Doing set_visible(False) or set_ticks([]) will also hide the grid lines.

I was not actually able to render an image without borders or axis data based on any of the code snippets here (even the one accepted at the answer). After digging through some API documentation, I landed on this code to render my image

plt.axis('off')
plt.tick_params(axis='both', left='off', top='off', right='off', bottom='off', labelleft='off', labeltop='off', labelright='off', labelbottom='off')
plt.savefig('foo.png', dpi=100, bbox_inches='tight', pad_inches=0.0)

I used the tick_params call to basically shut down any extra information that might be rendered and I have a perfect graph in my output file.

If you are like me and don't always retrieve the axes, ax, when plotting the figure, then a simple solution would be to do

plt.xticks([])
plt.yticks([])

When using the object oriented API, the Axes object has two useful methods for removing the axis text, set_xticklabels() and set_xticks().

Say you create a plot using

fig, ax = plt.subplots(1)
ax.plot(x, y)

If you simply want to remove the tick labels, you could use

ax.set_xticklabels([])

or to remove the ticks completely, you could use

ax.set_xticks([])

These methods are useful for specifying exactly where you want the ticks and how you want them labeled. Passing an empty list results in no ticks, or no labels, respectively.

Somewhat of an old thread but, this seems to be a faster method using the latest version of matplotlib:

set the major formatter for the x-axis

ax.xaxis.set_major_formatter(plt.NullFormatter())

I've colour coded this figure to ease the process.

import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(111)

You can have full control over the figure using these commands, to complete the answer I've add also the control over the splines:

ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)

# X AXIS -BORDER
ax.spines['bottom'].set_visible(False)
# BLUE
ax.set_xticklabels([])
# RED
ax.set_xticks([])
# RED AND BLUE TOGETHER
ax.axes.get_xaxis().set_visible(False)

# Y AXIS -BORDER
ax.spines['left'].set_visible(False)
# YELLOW
ax.set_yticklabels([])
# GREEN
ax.set_yticks([])
# YELLOW AND GREEN TOGHETHER
ax.axes.get_yaxis().set_visible(False)

One trick could be setting the color of tick labels as white to hide it!

plt.xticks(color='w')
plt.yticks(color='w')

or to be more generalized (@Armin Okic), you can set it as "None".