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Matplotlib.axes.Axes.get_images() in Python
  • Last Updated : 27 Apr, 2020

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.get_images() Function

The Axes.get_images() function in axes module of matplotlib library is used to return a list of Axes images contained by the Axes

Syntax: Axes.get_images(self)

Parameters: This method does not accept any parameters.

Returns: This method return a list of Axes images contained by the Axes.



Below examples illustrate the matplotlib.axes.Axes.get_images() function in matplotlib.axes:

Example 1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import matplotlib.cbook as cbook
   
      
# image used is 
# wp-content/uploads/20200402214740/geek.jpg
with cbook.get_sample_data('geek.jpg') as image_file:
    image = plt.imread(image_file)
  
fig, ax = plt.subplots()
im = ax.imshow(image)
  
patch = patches.Rectangle((0, 0), 260, 200,
                          transform = ax.transData)
im.set_clip_path(patch)
  
print("List of the child Artists of this Artist \n",
      *list(ax.get_images()), sep ="\n")
  
fig.suptitle('matplotlib.axes.Axes.get_images() \
function Example', fontweight ="bold")
  
plt.show()

Output:

 

List of the Axes images contained by the Axes

AxesImage(80, 52.8;496x369.6)

Example 2:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LogNorm
      
dx, dy = 0.015, 0.05
x = np.arange(-4.0, 4.0, dx)
y = np.arange(-4.0, 4.0, dy)
X, Y = np.meshgrid(x, y)
   
extent = np.min(x), np.max(x), np.min(y), np.max(y)
    
fig, ax = plt.subplots()
   
Z1 = np.add.outer(range(8), range(8)) % 2
ax.imshow(Z1, cmap ="binary_r",
          interpolation ='nearest',
          extent = extent, alpha = 1)
   
def geeks(x, y):
    return (1 - x / 2 + x**5 + y**6) * np.exp(-(x**2 + y**2))
   
Z2 = geeks(X, Y)
   
ax.imshow(Z2, cmap ="Greens", alpha = 0.7,
          interpolation ='bilinear',
          extent = extent)
  
print("List of the Axes images contained by the Axes \n",
      *list(ax.get_images()), sep ="\n")
  
fig.suptitle('matplotlib.axes.Axes.get_images() function\
 Example', fontweight ="bold")
plt.show()

Output:

 

List of the Axes images contained by the Axes 

AxesImage(80, 52.8;496x369.6)
AxesImage(80, 52.8;496x369.6)

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