Hiding axis text in matplotlib plots

Question

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:

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
How can I make N disappear (i.e. X.set_visible(False))
Is there a better way to do the above anyway? My final plot would be 4x4 subplots in a figure, if that is relevant.

I have a little doubt if any of the answers here actually answer the question. To me it looks like the question asks how to get rid of the offset. Yet all the answers show various ways how to get rid of all the ticklabels. If the question has been superseeded by the answers, maybe one should edit the question to ask for what the answers provide solutions for? — ImportanceOfBeingErnest
– ImportanceOfBeingErnest, Commented Jan 5, 2019 at 0:24

John Difool · Accepted Answer · 2018-04-26 15:55:18Z

687

Instead of hiding each element, you can hide the whole axis:

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

Or, you can set the ticks to an empty list:

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

In this second option, you can still use plt.xlabel() and plt.ylabel() to add labels to the axes.

edited Apr 26, 2018 at 15:55

John Difool

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answered Feb 1, 2010 at 12:34

Ofri Raviv

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Comments

Saullo G. P. Castro · Accepted Answer · 2017-10-03 09:49:19Z

311

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.

edited Oct 3, 2017 at 9:49

answered May 26, 2013 at 11:48

Saullo G. P. Castro

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Comments

Ébe Isaac · Accepted Answer · 2017-08-07 09:43:28Z

231

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([])

edited Aug 7, 2017 at 9:43

answered Nov 29, 2016 at 8:07

Ébe Isaac

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2 Comments

eric Over a year ago

I just do plt.axis('off') for a one-stop shop.

Michel de Ruiter Over a year ago

This also removes gridlines (if any).

Michel de Ruiter · Accepted Answer · 2023-02-06 14:31:47Z

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 spines:

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)

divenex · Accepted Answer · 2022-08-17 17:25:06Z

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=False, top=False, right=False, bottom=False, labelleft=False, labeltop=False, labelright=False, labelbottom=False)
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.

Rafa Viotti · Accepted Answer · 2015-01-28 17:16:57Z

71

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())

edited Jan 28, 2015 at 17:16

Rafa Viotti

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answered Jan 28, 2015 at 17:11

Nik Twerdochlib

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1 Comment

Roux Over a year ago

This method also keeps ticks and grids intact

Venkatachalam · Accepted Answer · 2021-01-26 16:14:28Z

20

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 Okić), you can set it as "None".

edited Jan 26, 2021 at 16:14

answered Oct 27, 2018 at 5:09

Venkatachalam

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Comments

Steven C. Howell · Accepted Answer · 2019-02-15 17:04:42Z

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.

Thiago Petrone · Accepted Answer · 2022-01-26 01:06:11Z

5

You could simply set xlabel to None, straight in your axis. Below an working example using seaborn

from matplotlib import pyplot as plt
import seaborn as sns

tips = sns.load_dataset("tips")

ax = sns.boxplot(x="day", y="total_bill", data=tips)
ax.set(xlabel=None)

plt.show()

edited Jan 26, 2022 at 1:06

answered Jan 25, 2022 at 19:24

Thiago Petrone

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Comments

Omar Essam El-Din · Accepted Answer · 2022-11-25 17:47:09Z

2

Just do this in case you have subplots

fig, axs = plt.subplots(1, 2, figsize=(16, 8))

ax[0].set_yticklabels([]) # x-axis
ax[0].set_xticklabels([]) # y-axis

answered Nov 25, 2022 at 17:47

Omar Essam El-Din

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1 Comment

Alex Poca Over a year ago

Axis comments are reversed, but otherwise it works.

paul · Accepted Answer · 2023-09-18 13:48:46Z

2

How to let the tick labels stay but the axis label go away:

axs.xaxis.label.set_visible(False)

answered Sep 18, 2023 at 13:48

paul

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Comments

Michele La Ferla · Accepted Answer · 2023-11-23 05:50:35Z

1

Try with the following line of code:

plt.axis("off")

Should solve the issue for you.

edited Nov 23, 2023 at 5:50

Michele La Ferla

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answered Nov 22, 2023 at 14:58

Serendipity

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Comments

FJDU · Accepted Answer · 2024-08-21 14:53:53Z

1

To keep the ticks and grid lines intact but hide the tick labels, use:

ax.xaxis.set_tick_params(labelcolor='none')
# Similar for the y axis.

This also has the advantage that the mouse-over utility of the interactive backend of Jupyter Notebook is not affected; most of the other solutions tend to cause the mouse-over utility to defunct, i.e. not showing the plot coordinates.

answered Aug 21, 2024 at 14:53

FJDU

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