Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Artist class contains Abstract base class for objects that render into a FigureCanvas. All visible elements in a figure are subclasses of Artist.
Matplotlib.artist.Artist.get_window_extent() Method
The get_window_extent() method in artist module of matplotlib library is used to return the axes bounding box in display space.
Syntax: Artist.get_window_extent(self)
Parameters: This method accepts the following parameters.
- renderer: This parameter is the RendererBase subclass.
Returns: This method return the figure bounding box in display space.
Below examples illustrate the matplotlib.artist.Artist.get_window_extent() function in matplotlib:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt
import numpy as np
from matplotlib.artist import Artist
X = np.arange( - 10 , 10 , 1.5 )
Y = np.arange( - 10 , 10 , 1.5 )
U, V = np.meshgrid(X, Y)
fig, ax = plt.subplots()
ax.quiver(X, Y, U, V) fig.canvas.draw() renderer = fig.canvas.renderer
# use of get_window_extent() method val = Artist.get_window_extent(ax, renderer)
print ( "Value Return by get_window_extent():" )
print (val)
fig.suptitle('matplotlib.artist.Artist.get_window_extent() \ function Example', fontweight = "bold" )
plt.show() |
Output:
Value Return by get_window_extent(): Bbox(x0=0.0, y0=0.0, x1=0.0, y1=0.0)
Example 2:
# Implementation of matplotlib function import matplotlib.pyplot as plt
import numpy as np
from matplotlib.artist import Artist
xx = np.random.rand( 10 , 10 )
fig, ax = plt.subplots()
m = ax.pcolor(xx)
m.set_zorder( - 20 )
fig.canvas.draw() renderer = fig.canvas.renderer
# use of get_window_extent() method val = Artist.get_window_extent(ax, renderer)
print ( "Value Return by get_window_extent():" )
print (val)
fig.suptitle('matplotlib.artist.Artist.get_window_extent() \ function Example', fontweight = "bold" )
plt.show() |
Output:
Value Return by get_window_extent(): Bbox(x0=0.0, y0=0.0, x1=0.0, y1=0.0)