Table of Contents
In Matplotlib, the axes can be easily hidden by calling the set_visible() method on the axes object and setting it to False. This can be done either by using the axes object itself or by looping through the list of axes in a figure. Examples are included to illustrate how to hide both x-axis and y-axis, as well as how to hide all axes in a figure at once.
You can use the following syntax to hide axes in Matplotlib plots:
import matplotlib.pyplot as plt #get current axes ax = plt.gca() #hide x-axis ax.get_xaxis().set_visible(False) #hide y-axis ax.get_yaxis().set_visible(False)
The following examples show how to use this syntax in practice.
Example 1: Hide X-Axis
The following code shows how to create a scatterplot and hide the x-axis:
import matplotlib.pyplot as plt #define data x = [3, 4, 4, 6, 7, 8, 8, 12] y = [11, 12, 12, 14, 17, 15, 14, 19] #create scatterplot plt.scatter(x, y) #get current axes ax = plt.gca() #hide x-axis ax.get_xaxis().set_visible(False)
Example 2: Hide Y-Axis
The following code shows how to create a scatterplot and hide the y-axis:
import matplotlib.pyplot as plt #define data x = [3, 4, 4, 6, 7, 8, 8, 12] y = [11, 12, 12, 14, 17, 15, 14, 19] #create scatterplot plt.scatter(x, y) #get current axes ax = plt.gca() #hide y-axis ax.get_yaxis().set_visible(False)
Example 3: Hide Both Axes
The following code shows how to create a scatterplot and hide both axes:
import matplotlib.pyplot as plt #define data x = [3, 4, 4, 6, 7, 8, 8, 12] y = [11, 12, 12, 14, 17, 15, 14, 19] #create scatterplot plt.scatter(x, y) #get current axes ax = plt.gca() #hide x-axis ax.get_xaxis().set_visible(False) #hide y-axis ax.get_yaxis().set_visible(False)
Example 4: Remove Axes & Borders Completely
The following code shows how to remove the axes and the plot borders completely:
import matplotlib.pyplot as plt #define data x = [3, 4, 4, 6, 7, 8, 8, 12] y = [11, 12, 12, 14, 17, 15, 14, 19] #create scatterplot plt.scatter(x, y) #get current axes ax = plt.gca() #hide axes and borders plt.axis('off')
