How to create same ticks and labels on both axes?

Question

I have to create a plot on which ticks and labels are specifically defined; an example of reproducible plot is given below:

import matplotlib.pyplot as plt
import seaborn as sns
plt.style.use('seaborn-v0_8')

fig, ax = plt.subplots(figsize=(4, 4))

ticks = [0.00, 0.25, 0.50, 0.75, 1.00]

ax.set_xticks(ticks)
ax.set_xticklabels(ticks, weight='bold', size=8)
ax.set_yticks(ticks)
ax.set_yticklabels(ticks, weight='bold', size=8)

plt.show()

As ticks and labels are exactly the same of both axes, is there a way to set them as a single command ? Something mixing both xticks and yticks ?

Hermann12 · Accepted Answer · 2025-06-28 10:08:21Z

1

You can use a function.

import matplotlib.pyplot as plt
plt.style.use('seaborn-v0_8')

def set_ticks_and_labels(ax, t, **kwargs):
    ax.set_xticks(t)
    ax.set_xticklabels(t, **kwargs)
    ax.set_yticks(t)
    ax.set_yticklabels(t, **kwargs)

fig, ax = plt.subplots(figsize=(4, 4))

ticks = [0.00, 0.25, 0.50, 0.75, 1.00]
set_ticks_and_labels(ax, ticks, weight='bold', size=8)

plt.show()

answered Jun 28 at 10:08

Hermann12

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bruno · Accepted Answer · 2025-06-28 10:25:58Z

0

you can replace

ax.set_ticks(ticks)
ax.set_xticklabels(ticks, weight='bold', size=8)
ax.set_yticks(ticks)
ax.set_yticklabels(ticks, weight='bold', size=8)

by

for a in [ax.xaxis, ax.yaxis]:
    a.set_ticks(ticks)
    a.set_ticklabels(ticks, weight='bold', size=8)

but not sure that really answers your request

Notice set_xticklabels and set_yticklabels are discouraged, see set_xticklabels for instance, and this is the same for set_ticklabels

edited Jun 28 at 10:25

answered Jun 28 at 10:19

bruno

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