Open In App

Matplotlib.figure.Figure.align_labels() in Python

Improve
Improve
Improve
Like Article
Like
Save Article
Save
Share
Report issue
Report

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.align_labels() function

The align_labels() method figure module of matplotlib library is used to Align the xlabels and ylabels of subplots with the same subplots row or column if label alignment is being done automatically.

Syntax: align_labels(self, axs=None)

Parameters: This accept the following parameters that are described below:

  • axs : This parameter is the list of Axes to align the labels.

Returns: This method does not return any value.

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

Example 1:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.gridspec as gridspec
  
fig = plt.figure()
gs = gridspec.GridSpec(2, 2)
  
for i in range(2):
    ax = fig.add_subplot(gs[1, i])
    ax.set_ylabel('Y label')
    ax.set_xlabel('X label')
    if i == 0:
        for tick in ax.get_xticklabels():
            tick.set_rotation(45)
  
fig.align_labels()
  
fig.suptitle('matplotlib.figure.Figure.align_labels() \
function Example\n\n', fontweight ="bold")
  
plt.show()


Output:

Example 2:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.gridspec as gridspec
  
fig = plt.figure(tight_layout = True)
gs = gridspec.GridSpec(2, 2)
  
ax = fig.add_subplot(gs[0, :])
ax.plot(np.arange(0, 1e6, 1000))
  
ax.set_ylabel('YLabel0')
ax.set_xlabel('XLabel0')
  
for i in range(2):
    ax = fig.add_subplot(gs[1, i])
    ax.plot(np.arange(1., 0., -0.1) * 2000.,
              
            np.arange(1., 0., -0.1))
      
    ax.set_ylabel('YLabel1 % d' % i)
    ax.set_xlabel('XLabel1 % d' % i)
      
    if i == 0:
        for tick in ax.get_xticklabels():
            tick.set_rotation(55)
  
fig.align_labels()  
  
fig.suptitle('matplotlib.figure.Figure.align_labels() \
function Example\n\n', fontweight ="bold")
  
plt.show()


Output:



Last Updated : 30 Apr, 2020
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads