Matplotlib.axes.Axes.set_axes_locator() in Python

Last Updated : 19 Apr, 2020

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.set_axes_locator() Function

The Axes.set_axes_locator() function in axes module of matplotlib library is used to set the axes locator.

Syntax: Axes.set_axes_locator(self, locator) Parameters: This method accepts only one parameters.

locator : This parameter is Callable with values and syntax like - [[Axes, Renderer], Bbox].

Return value: This method does not returns any value.

Below examples illustrate the matplotlib.axes.Axes.set_axes_locator() function in matplotlib.axes: Example 1:

Python3

# Implementation of matplotlib function
from mpl_toolkits.axes_grid1 import Size, Divider
import matplotlib.pyplot as plt


fig = plt.figure(1, (6, 6))

value1 = [Size.Fixed(2.), Size.Fixed(.8), Size.Fixed(1.2),
         Size.Fixed(.7)]
value2 = [Size.Fixed(1.2), Size.Fixed(.7), Size.Fixed(2.)]

polygon = (0.2, 0.2, 0.4, 0.4)
resultant = Divider(fig, polygon, value1, 
                    value2, aspect = False)

ax1 = fig.add_axes(polygon, label ="2")
ax2 = fig.add_axes(polygon, label ="3")
ax3 = fig.add_axes(polygon, label ="1")
ax4 = fig.add_axes(polygon, label ="4")

ax1.set_axes_locator(resultant.new_locator(nx = 0,
                     ny = 0))
ax2.set_axes_locator(resultant.new_locator(nx = 0, 
                     ny = 2))
ax3.set_axes_locator(resultant.new_locator(nx = 3, 
                     ny = 2))
ax4.set_axes_locator(resultant.new_locator(nx = 3, 
                     nx1 = 4, ny = 0))

fig.suptitle('matplotlib.axes.Axes.set_axes_locator()\
 function Example\n\n', fontweight ="bold")
plt.show()

Output:

Example 2:

Python3

# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1.axes_divider import HBoxDivider
import mpl_toolkits.axes_grid1.axes_size as Size

arr1 = np.arange(40).reshape((8, 5))
arr2 = np.arange(12).reshape((3, 4))

fig, (ax1, ax2) = plt.subplots(1, 2)
ax1.imshow(arr1)
ax2.imshow(arr2)

rect = 111 
pad = 1
for ax in [ax1, ax2]:
    ax.locator_params(nbins = 1)
    ax.xaxis.set_visible(False)
    ax.yaxis.set_visible(False)

h1, v1 = Size.AxesX(ax1), Size.AxesY(ax1)
h2, v2 = Size.AxesX(ax2), Size.AxesY(ax2)

pad_v = Size.Scaled(1)
pad_h = Size.Fixed(pad)

my_divider = HBoxDivider(fig, rect,
                         horizontal =[h1, pad_h, h2],
                         vertical =[v1, pad_v, v2])

ax1.set_axes_locator(my_divider.new_locator(0))
ax2.set_axes_locator(my_divider.new_locator(2))

ax3 = plt.axes([0.4, 0.5, 0.001, 0.001], frameon = False)
ax3.xaxis.set_visible(False)
ax3.yaxis.set_visible(False)
ax3.annotate("GeeksforGeeks\n matplotlib module \n Axes class", 
             (1, 0.5),
             xycoords ="axes fraction",
             va ="center", ha ="center",
             bbox = dict(boxstyle ="round, 
             pad = 1", fc ="w"))

fig.suptitle('matplotlib.axes.Axes.set_axes_locator()\
 function Example\n\n', fontweight ="bold")
plt.show()