Thursday, September 4, 2025
HomeLanguagesMatplotlib.figure.Figure.suptitle() in Python

Matplotlib.figure.Figure.suptitle() in Python

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.suptitle() method

The suptitle() method figure module of matplotlib library is used to Add a centered title to the figure.

Syntax: suptitle(self, t, **kwargs)

Parameters: This method accept the following parameters that are discussed below:

  • t : This parameter is the title text.
  • x: This parameter is the x location of the text in figure coordinates.
  • y: This parameter is the y location of the text in figure coordinates.
  • horizontalalignment, ha : This parameter is the horizontal alignment of the text relative to (x, y).
  • verticalalignment, va : This parameter is the vertical alignment of the text relative to (x, y).
  • fontsize, size : This parameter is the font size of the text.
  • fontweight, weight : This parameter is the font weight of the text.

Returns: This method returns the Text instance of the title.

Below examples illustrate the matplotlib.figure.Figure.suptitle() 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(tight_layout = True)
gs = gridspec.GridSpec(1, 1)
   
ax = fig.add_subplot(gs[0, :])
ax.plot(np.arange(0, 1e6, 1000))
ax.set_ylabel('YLabel0')
ax.set_xlabel('XLabel0')
   
fig.suptitle('matplotlib.figure.Figure.suptitle()\
 function Example\n\n', fontweight ="bold")
  
plt.show()


Output:

Example 2:




# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
  
    
np.random.seed(19680801)
   
xdata = np.random.random([2, 10])
   
xdata1 = xdata[0, :]
xdata2 = xdata[1, :]
   
ydata1 = xdata1 ** 2
ydata2 = 1 - xdata2 ** 3
    
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot(xdata1, ydata1, color ='tab:blue')
ax.plot(xdata2, ydata2, color ='tab:orange')
    
ax.set_xlim([0, 1])
ax.set_ylim([0, 1])
  
fig.suptitle('matplotlib.figure.Figure.suptitle()\
 function Example\n\n', fontweight ="bold")
  
plt.show()


Output:

RELATED ARTICLES

Most Popular

Dominic
32261 POSTS0 COMMENTS
Milvus
81 POSTS0 COMMENTS
Nango Kala
6626 POSTS0 COMMENTS
Nicole Veronica
11797 POSTS0 COMMENTS
Nokonwaba Nkukhwana
11855 POSTS0 COMMENTS
Shaida Kate Naidoo
6748 POSTS0 COMMENTS
Ted Musemwa
7024 POSTS0 COMMENTS
Thapelo Manthata
6696 POSTS0 COMMENTS
Umr Jansen
6716 POSTS0 COMMENTS