How can I remove the top and right axis in matplotlib?

Become part of the top 3% of the developers by applying to Toptal https://topt.al/25cXVn

--

Music by Eric Matyas
https://www.soundimage.org
Track title: Puzzle Island

--

Chapters
00:00 Question
00:29 Accepted answer (Score 254)
00:56 Answer 2 (Score 72)
01:23 Answer 3 (Score 33)
02:04 Answer 4 (Score 24)
02:31 Thank you

--

Full question
https://stackoverflow.com/questions/9250...

Accepted answer links:
[HERE]: http://matplotlib.org/examples/ticks_and...

Answer 2 links:
[this]: http://www.shocksolution.com/2011/08/rem.../

Answer 3 links:
[here]: http://matplotlib.org/examples/pylab_exa...
[example]: https://github.com/ericliang/matplotlib/...

--

Content licensed under CC BY-SA
https://meta.stackexchange.com/help/lice...

--

Tags
#python #matplotlib

#avk47

ACCEPTED ANSWER

Score 291

This is the suggested Matplotlib 3 solution from the official website HERE:

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 2*np.pi, 100)
y = np.sin(x)

ax = plt.subplot(111)
ax.plot(x, y)

# Hide the right and top spines
ax.spines[['right', 'top']].set_visible(False)

plt.show()

enter image description here

ANSWER 2

Score 74

Alternatively, this

def simpleaxis(ax):
    ax.spines['top'].set_visible(False)
    ax.spines['right'].set_visible(False)
    ax.get_xaxis().tick_bottom()
    ax.get_yaxis().tick_left()

seems to achieve the same effect on an axis without losing rotated label support.

(Matplotlib 1.0.1; solution inspired by this).

ANSWER 3

Score 33

[edit] matplotlib in now (2013-10) on version 1.3.0 which includes this

That ability was actually just added, and you need the Subversion version for it. You can see the example code here.

I am just updating to say that there's a better example online now. Still need the Subversion version though, there hasn't been a release with this yet.

[edit] Matplotlib 0.99.0 RC1 was just released, and includes this capability.

ANSWER 4

Score 26

_{(This is more of an extension comment, in addition to the comprehensive answers here.)}

Note that we can hide each of these three elements independently of each other:

To hide the border (aka "spine"): ax.set_frame_on(False) or ax.spines['top'].set_visible(False)
To hide the ticks: ax.tick_params(top=False)
To hide the labels: ax.tick_params(labeltop=False)