How to Hide Axis Text in Matplotlib Plots?

Hiding Axis Text in Matplotlib Plots

Matplotlib provides an extensive toolkit for data visualization, but it can sometimes alter axis labels in undesirable ways. This article addresses the issue of axis labels being adjusted with a value N subtracted then readded, as seen in the example below:

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()

To address this issue, consider the following solutions:

1. Hiding the Axis

Instead of hiding individual elements, it's possible to hide the entire axis, as seen below:

frame1.axes.get_xaxis().set_visible(False)
frame1.axes.get_yaxis().set_visible(False)

2. Setting Ticks to an Empty List

Alternatively, you can set the axis ticks to an empty list like so:

frame1.axes.get_xaxis().set_ticks([])
frame1.axes.get_yaxis().set_ticks([])

3. Using plt.xlabel() and plt.ylabel() with Empty Ticks

Even with empty ticks, it's still possible to add labels to the axes using plt.xlabel() and plt.ylabel().

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