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.
Python3
# 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() |
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())
Python3
# 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() |
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.
Python3
# 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() |
Output:
Example 2:
Here is another example to illustrate a square plot using axis() method.
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 plt.plot(x, y, color = 'green' ) plt.xlabel( 'X' ) plt.ylabel( 'Y' ) # square plot plt.axis( 'square' ) # displaying the title plt.title( 'ReLU Function' ) |
Output:
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