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_tightbbox() Function
The Axes.get_tightbbox() function in axes module of matplotlib library is used to return the tight bounding box of the axes, including axis and their decorators.
Syntax: Axes.get_tightbbox(self, renderer, call_axes_locator=True, 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.
- call_axes_locator : This parameter is the list of artists to include in the tight bounding box.
Returns: This method return the bounding box in figure pixel coordinates.
Below examples illustrate the matplotlib.axes.Axes.get_tightbbox() function in matplotlib.axes:
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 = ax.get_tightbbox(fig.canvas.get_renderer(), call_axes_locator = True, bbox_extra_artists = None) ax.set_title("Value Return :\n"+str(w), fontsize = 10) fig.suptitle('matplotlib.axes.Axes.get_tightbbox()\ function Example', fontweight ="bold") plt.show() |
Output:
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 = ax.get_tightbbox(fig.canvas.get_renderer(), call_axes_locator = True, bbox_extra_artists = None) ax.set_title("Value Return :\n"+str(w), fontsize = 10) fig.suptitle('matplotlib.axes.Axes.get_tightbbox()\ function Example', fontweight ="bold") plt.show() |
Output:
