Skip to content
Related Articles

Related Articles

Matplotlib.figure.Figure.add_axes() in Python
  • Last Updated : 30 Apr, 2020

Matplotlib is a library in Python and it is 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 container 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.



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

Example 1:




# 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 ="bold")
  
plt.show()

Output:

Example-2:




# 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:

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :