Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top level container for all plot elements.
matplotlib.figure.Figure.get_tightbbox() method
The get_tightbbox() method figure module of matplotlib library is used to get the (tight) bounding box of the figure in inches.
Syntax: get_tightbbox(self, renderer, bbox_extra_artists=None)
Parameters: This method accepts the following parameters.
- renderer : This parameter is the RendererBase instance
renderer that will be used to draw the figures.- bbox_extra_artists : This parameter is the list of artists to include in the tight bounding box.
Returns: This method return BboxBase that contains the bounding box.
Below examples illustrate the matplotlib.figure.Figure.get_tightbbox() function in matplotlib.figure:
Example 1:
# Implementation of matplotlib function import matplotlib.pyplot as plt import numpy as np X = np.arange(-10, 10, 0.5) Y = np.arange(-10, 10, 0.5) U, V = np.meshgrid(X, Y) fig, ax = plt.subplots() ax.quiver(X, Y, U, V) ax.invert_xaxis() w = fig.get_tightbbox(fig.canvas.get_renderer(), bbox_extra_artists = None) print("Value Return by get_tightbbox():") print(w) fig.suptitle('matplotlib.figure.Figure.get_tightbbox()\ function Example', fontweight ="bold") plt.show() |
Output:
Value Return by get_tightbbox():
TransformedBbox(
Bbox(x0=27.65277777777777, y0=29.077777777777776, x1=576.0, y1=422.4),
Affine2D(
[[0.01 0. 0. ]
[0. 0.01 0. ]
[0. 0. 1. ]]))
Example 2:
# Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt xx = np.random.rand(16, 30) fig, ax = plt.subplots() m = ax.pcolor(xx) m.set_zorder(-20) w = fig.get_tightbbox(fig.canvas.get_renderer(), bbox_extra_artists = None) print("Value Return by get_tightbbox():") print(w) fig.suptitle('matplotlib.figure.Figure.get_tightbbox()\ function Example', fontweight ="bold") plt.show() |
Output:
Value Return by get_tightbbox():
TransformedBbox(
Bbox(x0=52.52777777777777, y0=29.077777777777776, x1=584.875, y1=427.9),
Affine2D(
[[0.01 0. 0. ]
[0. 0.01 0. ]
[0. 0. 1. ]]))
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