Matplotlib.axis.Axis.get_ticklabel_extents() function in Python
Last Updated :
08 Jun, 2020
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.Axis.get_ticklabel_extents() Function
The Axis.get_ticklabel_extents() function in axis module of matplotlib library is used to get the extents of the tick labels on either side of the axes
Syntax: Axis.get_ticklabel_extents(self, renderer)
Parameters: This method accepts the following parameters.
- renderer: This parameter is the RendererBase instance
renderer.
Return value: This method returns the extents of the tick labels on either side of the axes
Below examples illustrate the matplotlib.axis.Axis.get_ticklabel_extents() function in matplotlib.axis:
Example 1:
Python3
from matplotlib.axis import Axis
import matplotlib.pyplot as plt
import numpy as np
X = np.arange( - 5 , 5 , 1 )
Y = np.arange( - 5 , 5 , 1 )
U, V = np.meshgrid(X, Y)
fig, ax = plt.subplots()
ax.quiver(X, Y, U, V)
ax.invert_xaxis()
w = Axis.get_ticklabel_extents(ax.xaxis,
fig.canvas.get_renderer())
print ( "Value Return :\n" + str (w))
ax.grid()
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
Value Return :
(Bbox([[98.10795454545453, 29.077777777777776], [513.6035353535353, 43.077777777777776]]), Bbox([[0.0, 0.0], [0.0, 0.0]]))
Example 2:
Python3
from matplotlib.axis import Axis
import numpy as np
import matplotlib.pyplot as plt
xx = np.random.rand( 10 , 5 )
fig, ax = plt.subplots()
m = ax.pcolor(xx)
m.set_zorder( - 2 )
w = Axis.get_ticklabel_extents(ax.xaxis, fig.canvas.get_renderer())
print ( "Value Return :\n" + str (w))
ax.grid()
fig.suptitle(
, fontweight = "bold")
plt.show()
|
Output:
Value Return :
(Bbox([[75.5625, 29.077777777777776], [580.4375, 43.077777777777776]]), Bbox([[0.0, 0.0], [0.0, 0.0]]))
Share your thoughts in the comments
Please Login to comment...