Matplotlib.artist.Artist.get_window_extent() in Python
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)
