Open In App

Matplotlib.figure.Figure.add_axes() in Python

Last Updated : 12 Jul, 2025
Comments
Improve
Suggest changes
Like Article
Like
Report

Matplotlib is a library in Python and it is a numerical – mathematical extension for NumPy library. The figure module provides the top-level Artist, the Figure, which contains all the plot elements. This module is used to control the default spacing of the subplots and top-level containers for all plot elements.

matplotlib.figure.Figure.add_axes() function

The add_axes() method figure module of matplotlib library is used to add an axes to the figure.

Syntax: add_axes(self, *args, **kwargs) Parameters: This accept the following parameters that are described below:

  • rect : This parameter is the dimensions [left, bottom, width, height] of the new axes.
  • projection : This parameter is the projection type of the Axes.
  • sharex, sharey : These parameters share the x or y axis with sharex and/or sharey.
  • label : This parameter is the label for the returned axes.

Returns: This method return the axes class depends on the projection used.

Note : To understand multiple axes( multiple rectangle insertion in generated figure) easily, Think of  a rectangle which is 1 * 1 (with 0.1 as increment ).Within the rectangle we have arrange those axes with specifying ([a,b,c,d])

(a,b) is the point in southwest corner of the rectangle which we create. c represents width and d represents height of the respective rectangle.

Try this basic example on your own  to understand their placement within a rectangle.

import matplotlib.pyplot as plt
import numpy as np
figu = plt.figure()  
r = figu.patch 
r.set_facecolor('lightslategray')

axes = figu.add_axes([0, 0.4, 0.1, 1])
axes = figu.add_axes([1, 1, 0.2, 0.3])
plt.show()

Below examples illustrate the matplotlib.figure.Figure.add_axes() function in matplotlib.figure: Example 1: 

Python3
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt


fig = plt.figure()
fig.subplots_adjust(top=0.8)
ax1 = fig.add_subplot(211)

t = np.arange(0.0, 1.0, 0.01)
s = np.sin(2 * np.pi * t)
line, = ax1.plot(t, s, color='green', lw=2)

np.random.seed(19680801)

ax2 = fig.add_axes([0.15, 0.1, 0.7, 0.3])
n, bins, patches = ax2.hist(np.random.randn(1000), 50,
                            facecolor='yellow',
                            edgecolor='yellow')

fig.suptitle('matplotlib.figure.Figure.add_axes() \
function Example\n\n', fontweight=& quot
             bold & quot
             )

plt.show()

Output: Example-2: 

Python3
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt

fig = plt.figure()
rect = fig.patch
rect.set_facecolor('lightslategray')

ax1 = fig.add_axes([0.1, 0.3, 0.4, 0.4])
rect = ax1.patch
rect.set_facecolor('lightgoldenrodyellow')


for label in ax1.xaxis.get_ticklabels():
    label.set_color('green')
    label.set_rotation(25)
    label.set_fontsize(16)

for line in ax1.yaxis.get_ticklines():
    line.set_color('yellow')
    line.set_markersize(5)
    line.set_markeredgewidth(3)

fig.suptitle('matplotlib.figure.Figure.add_axes() \
function Example\n\n', fontweight ="bold")

plt.show()

Output:


Article Tags :
Practice Tags :

Similar Reads

pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy