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How to Make a Square Plot With Equal Axes in Matplotlib?
  • Difficulty Level : Medium
  • Last Updated : 26 Dec, 2020

In this article, we are going to discuss how to illustrate a square plot with equal axis using matplotlib module.  We can depict a Square plot using matplotlib.axes.Axes.set_aspect() and matplotlib.pyplot.axis() methods.

Using set_aspect() method

Syntax: matplotlib.axes.Axes.set_aspect()

Parameters: 

  • aspect : This parameter accepts the following value {‘auto’, ‘equal’} or num.
  • adjustable : This defines which parameter will be adjusted to meet the required aspect.
  • anchor : This parameter is used to define where the Axes will be drawn if there is extra space due to aspect constraints.
  • share: This parameter is used to apply the settings to all shared Axes.

Example 1:

We can generate a square plot using matplotlib.axes.Axes.set_aspect() method. We will assign equal as an aspect argument and box as adjustable argument.



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# import required module
# import required modules
import numpy as np
import matplotlib.pyplot as plt
  
# adjust coordinates
x = y = [i for i in range(0, 6)]
  
# depict illustartion
fig = plt.figure()
ax = fig.add_subplot()
plt.plot(x, y)
  
# square plot
ax.set_aspect('equal', adjustable='box')
plt.show()

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Output:

Example 2:

The above example possibly yields a square plot when ranges for the two tomahawks are set to be the equivalent. To produce a square plot in the overall case, we need to physically set the viewpoint proportion utilizing the accompanying order:  

axes.set_aspect(1./axes.get_data_ratio())

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# import required modules
import numpy as np
import matplotlib.pyplot as plt
  
# adjust coordinates
x = y = [i for i in range(0, 6)]
  
# depict illustartion
fig = plt.figure()
ax = fig.add_subplot()
plt.plot(x, y)
  
# square plot
ax.set_aspect(1.0/ax.get_data_ratio(), adjustable='box')
plt.show()

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Output:



Using axis() method

Syntax: matplotlib.pyplot.axis()

Parameters: 

  • xmin, xmax, ymin, ymax:These parameters can be used to set the axis limits on the graph. 
  • emit:Its a bool value used to notify observers of the axis limit change. 

Example 1:

In this example, we pass square as an argument to matplotlib.pyplot.axis(), it illustrates a square plot.

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# import required module
# import required modules
import numpy as np
import matplotlib.pyplot as plt
  
# adjust coordinates
x=y=[i for i in range(0,6)]
  
# plot coordinates
plt.plot(x,y)
  
# square plot
plt.axis('square')
  
# depict illustration
plt.show()

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Output:

Example 2:

Here is another example to illustrate a square plot using axis() method.

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# 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
plt.plot(x, y, color='green')
plt.xlabel('X')
plt.ylabel('Y')
  
# square plot
plt.axis('square')
  
# displaying the title
plt.title('ReLU Function')

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Output:


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