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Matplotlib.axes.Axes.get_default_bbox_extra_artists() in Python
  • Last Updated : 30 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_default_bbox_extra_artists() Function

The Axes.get_default_bbox_extra_artists() function in axes module of matplotlib library is used to get the default list of artists that are used for the bounding box calculation..

Syntax: Axes.get_default_bbox_extra_artists(self)

Parameters: This method does not accepts any parameter.

Returns: This method return the default list of artists that are used for the bounding box calculation.



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

Example 1:




# ImpleIn Reviewtation of matplotlib function  
import matplotlib.pyplot as plt
import matplotlib.tri as tri
import numpy as np
    
n_angles = 36
n_radii = 10
min_radius = 2
radii = np.linspace(min_radius, 0.95, n_radii)
    
angles = np.linspace(0, 2 * np.pi,
                     n_angles,
                     endpoint = False)
  
angles = np.repeat(angles[..., np.newaxis],
                   n_radii, axis = 1)
  
angles[:, 1::2] += 2 * np.pi / n_angles
    
x = (radii * np.cos(angles)).flatten()
y = (radii * np.sin(angles)).flatten()
    
triang = tri.Triangulation(x, y)
    
triang.set_mask(np.hypot(x[triang.triangles].mean(axis = 1),
                         y[triang.triangles].mean(axis = 1))
                < min_radius)
fig, ax = plt.subplots()
    
ax.triplot(triang, 'bo-', lw = 1, color = "green")
  
w = ax.get_default_bbox_extra_artists()
  
print("Value Return by get_default_bbox_extra_artists() :")
  
for i in w:
    print(i)
   
fig.suptitle('matplotlib.axes.Axes.get_default_bbox_extra_artists()\
 function Example\n\n', fontweight ="bold")
  
fig.canvas.draw()
plt.show()

Output:

Value Return by get_default_bbox_extra_artists() :
Line2D(_line0)
Line2D(_line1)
Spine
Spine
Spine
Spine
XAxis(80.0, 52.8)
YAxis(80.0, 52.8)
Text(0.5, 1.0, '')
Text(0.0, 1.0, '')
Text(1.0, 1.0, '')
Rectangle(xy=(0, 0), width=1, height=1, angle=0)

Example 2:




# ImpleIn Reviewtation of matplotlib function  
import matplotlib.pyplot as plt
    
fig, ax1 = plt.subplots( )
ax1.set_xscale("log")
ax1.set_yscale("log")
ax1.set_adjustable("datalim")
  
ax1.plot([1, 3, 34, 4, 46, 3, 7, 45, 10],
         [1, 9, 27, 8, 29, 84, 78, 19, 48], 
         "o-", color ="green")
  
ax1.set_xlim(1e-1, 1e2)
ax1.set_ylim(1, 1e2)
  
w = ax1.get_default_bbox_extra_artists()
  
print("Value Return by get_default_bbox_extra_artists() :")
  
for i in w:
    print(i)
   
fig.suptitle('matplotlib.axes.Axes.get_default_bbox_extra_artists()\
 function Example\n\n', fontweight ="bold")
  
fig.canvas.draw()
  
plt.show()

Output:

Value Return by get_default_bbox_extra_artists() :
Line2D(_line0)
Spine
Spine
Spine
Spine
XAxis(80.0, 52.8)
YAxis(80.0, 52.8)
Text(0.5, 1.0, '')
Text(0.0, 1.0, '')
Text(1.0, 1.0, '')
Rectangle(xy=(0, 0), width=1, height=1, angle=0)

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