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How to remove or hide x-axis labels from a seaborn / matplotlib plot

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to remove or hide x-axis labels from a seaborn / matplotlib plot in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

How to remove or hide x-axis labels from a seaborn / matplotlib plot?

  1. How to remove or hide x-axis labels from a seaborn / matplotlib plot

  2. After creating the boxplot, use .set()..set(xticklabels=[]) should remove tick labels.
    • This doesn't work if you use .set_title(), but you can use .set(title='')
    .set(xlabel=None) should remove the axis label.
  3. remove or hide x-axis labels from a seaborn / matplotlib plot

  4. After creating the boxplot, use .set()..set(xticklabels=[]) should remove tick labels.
    • This doesn't work if you use .set_title(), but you can use .set(title='')
    .set(xlabel=None) should remove the axis label.

Method 1

  • After creating the boxplot, use .set().
  • .set(xticklabels=[]) should remove tick labels.
    • This doesn’t work if you use .set_title(), but you can use .set(title='')
  • .set(xlabel=None) should remove the axis label.
  • .tick_params(bottom=False) will remove the ticks.
  • Similarly, for the y-axis: How to remove or hide y-axis ticklabels from a matplotlib / seaborn plot?
fig, ax = plt.subplots(2, 1)

g1 = sb.boxplot(x="user_type", y="Seconds", data=df, color = default_color, ax = ax[0], sym='')
g1.set(xticklabels=[])
g1.set(title='User-Type (0=Non-Subscriber, 1=Subscriber)')
g1.set(xlabel=None)

g2 = sb.boxplot(x="member_gender", y="Seconds", data=df, color = default_color, ax = ax[1], sym='')
g2.set(xticklabels=[])
g2.set(title='Gender (0=Male, 1=Female, 2=Other)')
g2.set(xlabel=None)

With xticks and xlabel

import seaborn as sns
import matplotlib.pyplot as plt

# load data
exercise = sns.load_dataset('exercise')
pen = sns.load_dataset('penguins')

# create figures
fig, ax = plt.subplots(2, 1, figsize=(8, 8))

# plot data
g1 = sns.boxplot(x='time', y='pulse', hue='kind', data=exercise, ax=ax[0])

g2 = sns.boxplot(x='species', y='body_mass_g', hue='sex', data=pen, ax=ax[1])

plt.show()
enter image description here

Without xticks and xlabel

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

g1 = sns.boxplot(x='time', y='pulse', hue='kind', data=exercise, ax=ax[0])

g1.set(xticklabels=[])  # remove the tick labels
g1.set(title='Exercise: Pulse by Time for Exercise Type')  # add a title
g1.set(xlabel=None)  # remove the axis label

g2 = sns.boxplot(x='species', y='body_mass_g', hue='sex', data=pen, ax=ax[1])

g2.set(xticklabels=[])  
g2.set(title='Penguins: Body Mass by Species for Gender')
g2.set(xlabel=None)
g2.tick_params(bottom=False)  # remove the ticks

plt.show()
enter image description here

Summery

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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