Matplotlib.axes.Axes.axis() in Python
Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.
matplotlib.axes.Axes.axis() Function
The Axes.axis() function in axes module of matplotlib library is the convenience method to get or set some axis properties.
Syntax: Axes.axis(self, *args, **kwargs)
Parameters: This method accept the following parameters that are described below:
Returns:This method returns the following:
- xmin, xmax, ymin, ymax :This returns the axis limits.
Below examples illustrate the matplotlib.axes.Axes.axis() function in matplotlib.axes:
Example 1:
import matplotlib.pyplot as plt
import numpy as np
labels = 'Geek1' , 'Geek2' , 'Geek3' , 'Geek4' , 'Geek5'
sizes = [ 95 , 230 , 145 , 40 , 65 ]
explode = ( 0 , 0.2 , 0 , 0 , 0 )
fig1, ax1 = plt.subplots()
ax1.pie(sizes, explode = explode, labels = labels,
autopct = '% 1.0f %%' ,
shadow = True , startangle = 90 )
ax1.axis( 'square' )
ax1.set_title('matplotlib.axes.Axes.axis() \
Example\n ', fontsize = 14, fontweight =' bold')
plt.show()
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Output:
Example 2:
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.cbook as cbook
with cbook.get_sample_data( 'geek.JPG' ) as image_file:
image = plt.imread(image_file)
fig, (ax, ax1) = plt.subplots( 2 , 1 )
im = ax.imshow(image)
patch = patches.Rectangle(( 0 , 0 ), 260 , 200 ,
transform = ax.transData)
im.set_clip_path(patch)
ax.set_title( 'Without Axis Function' ,
fontsize = 10 , fontweight = 'bold' )
im = ax1.imshow(image)
patch = patches.Rectangle(( 0 , 0 ), 260 , 200 ,
transform = ax1.transData)
im.set_clip_path(patch)
ax1.axis( 'off' )
ax1.set_title( "Axis Function with 'Off' option" ,
fontsize = 10 , fontweight = 'bold' )
plt.show()
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Output:
Last Updated :
19 Apr, 2020
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