Python hide ticks but show tick labels

Question

I can remove the ticks with

ax.set_xticks([]) 
ax.set_yticks([]) 

but this removes the labels as well. Any way I can plot the tick labels b

Answer 1

This Worked out pretty well for me! try it out

import matplotlib.pyplot as plt
import numpy as np

plt.figure()

languages =['Python', 'SQL', 'Java', 'C++', 'JavaScript']
pos = np.arange(len(languages))
popularity = [56, 39, 34, 34, 29]

plt.bar(pos, popularity, align='center')
plt.xticks(pos, languages)
plt.ylabel('% Popularity')
plt.title('Top 5 Languages for Math & Data \nby % popularity on Stack Overflow', 
alpha=0.8)

# remove all the ticks (both axes), 
plt.tick_params(top='off', bottom='off', left='off', right='off', labelleft='off', 
labelbottom='on')
plt.show()

Answer 2

Assuming that you want to remove some ticks on the Y axes and only show the yticks that correspond to the ticks that have values higher than 0 you can do the following:

from import matplotlib.pyplot as plt

fig, ax = plt.subplots()

# yticks and yticks labels
yTicks = list(range(26))
yTicks = [yTick if yTick % 5 == 0 else 0 for yTick in yTicks]
yTickLabels = [str(yTick) if yTick % 5 == 0 else '' for yTick in yTicks]

Then you set up your axis object's Y axes as follow:

ax.yaxis.grid(True)
ax.set_yticks(yTicks)
ax.set_yticklabels(yTickLabels, fontsize=6)
fig.savefig('temp.png')
plt.close()

And you'll get a plot like this:

Answer 3

Currently came across the same issue, solved as follows on version 3.3.3:

My matplotlib ver: 3.3.3

ax.tick_params(tick1On=False) for left and bottom ticks
ax.tick_params(tick2On=False) for right and top ticks, which are off by default

Answer 4

This worked for me:

plt.tick_params(axis='both', labelsize=0, length = 0)

Answer 5

You can set the tick length to 0 using tick_params (http://matplotlib.org/api/axes_api.html#matplotlib.axes.Axes.tick_params):

fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot([1],[1])
ax.tick_params(axis=u'both', which=u'both',length=0)
plt.show()

Answer 6

While attending a coursera course on Python, this was a question.

Below is the given solution, which I think is more readable and intuitive.

ax.tick_params(top='off', bottom='off', left='off', right='off', labelleft='on', labelbottom='on')