Matplotlib.axes.Axes.get_tightbbox() in Python

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: