How to Turn Off the Axes for Subplots in Matplotlib?

Last Updated : 29 Oct, 2021

In this article, we are going to discuss how to turn off the axes of subplots using matplotlib module. We can turn off the axes for subplots and plots using the below methods:

Method 1: Using matplotlib.axes.Axes.axis()

To turn off the axes for subplots, we will matplotlib.axes.Axes.axis() method here.

Python3

# import required modules import matplotlib.pyplot as plt  import matplotlib.tri as mtri  import numpy as np       # assign data     x = np.asarray([0, 1, 2, 3, 0.5,                  1.5, 2.5, 1, 2,                  1.5])   y = np.asarray([0, 0, 0, 0, 1.0,                  1.0, 1.0, 2, 2,                  3.0])   triangles = [[0, 1, 4], [1, 5, 4],              [2, 6, 5], [4, 5, 7],              [5, 6, 8], [5, 8, 7],              [7, 8, 9], [1, 2, 5],              [2, 3, 6]]   # depict illustration triang = mtri.Triangulation(x, y, triangles)  z = np.cos(1.5 * x) * np.cos(1.5 * y)       fig, axs = plt.subplots()  axs.tricontourf(triang, z)  axs.triplot(triang, 'go-', color ='white')   # turn off the axes axs.set_axis_off()  # assign title axs.set_title('Triangle illustration')   plt.show()

Output:

Here, we turn off axes using the axis("off") statement.

Method 2: Using matplotlib.axes.Axes.set_axis_off()

We use matplotlib.axes.Axes.set_axis_off() to turn the x-and y-pivot off influencing the axis lines, ticks, ticklabels, network and axis marks as well.

Python3

# import required modules  import matplotlib.pyplot as plt  import numpy as np       # time series data  geeksx = np.array([24.40, 110.25, 20.05,                  22.00, 61.90, 7.80,                  15.00])   geeksy = np.array([24.40, 110.25, 20.05,                  22.00, 61.90, 7.80,                  15.00])       # depict illustration     fig, ax = plt.subplots()  ax.xcorr(geeksx, geeksy, maxlags = 6,          color ="green")   # turn off the axes ax.set_axis_off()   # assign title ax.set_title('Time series graph')  plt.show()

Output:

Method 3: Using matplotlib.pyplot.axis()

In a visualization, if the figure has a single plot in it, we can turn off the axes for subplots by making look like a contention to the matplotlib.pyplot.axis() technique. If the figure contains different subplots, this technique just turns off axes for the last subplot.

Python3

# importing module import matplotlib.pyplot as plt  # assigning x and y coordinates x = [-5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5] y = []  for i in range(len(x)):     y.append(max(0, x[i]))  # depicting the visualization ax = plt.plot(x, y, color='green')  # turn off the axes plt.axis('off')  # displaying the title plt.title("ReLU function graph")  plt.show()

Output:

Here, we turn off axes using the plt.axis("off") statement.

How to Create Different Subplot Sizes in Matplotlib?

ritikkumartiwari

Improve

Article Tags :

Practice Tags :

python

How to Turn Off the Axes for Subplots in Matplotlib?

Similar Reads

Introduction

Multiple Plots

Working with Legends

Line Chart

Bar Plot

Histogram

Scatter Plot

Pie Chart

3D Plots

Working with Images