Matplotlib.axis.Tick.get_window_extent() function in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

Matplotlib.axis.Tick.get_window_extent() Function

The Tick.get_window_extent() function in axis module of matplotlib library is used to get the axes bounding box in display space. 

Syntax: Tick.get_window_extent(self, renderer) 

Parameters: This method accepts the following parameters. 

• renderer: This parameter is the RendererBase subclass.

Return value: This method return the axes bounding box in display space. 

Below examples illustrate the matplotlib.axis.Tick.get_window_extent() function in matplotlib.axis:
Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
import numpy as np
import matplotlib.pyplot as plt


X = np.arange(0, 5, .5)
Y = np.arange(0, 5, .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 = Tick.get_window_extent(ax, renderer)
print("Value Return by get_window_extent():")
print(val)

fig.suptitle('matplotlib.axis.Tick.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:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Tick
import matplotlib.pyplot as plt
import numpy as np

xx = np.random.rand(3, 4)

fig, ax = plt.subplots()

m = ax.pcolor(xx)
m.set_zorder(10)

fig.canvas.draw()
renderer = fig.canvas.renderer

# use of get_window_extent() method
val = Tick.get_window_extent(ax, renderer)
print("Value Return by get_window_extent():")
print(val)

fig.suptitle('matplotlib.axis.Tick.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)