Matplotlib.pyplot.suptitle() function in Python
Last Updated :
28 Jul, 2020
Matplotlib is a library in Python and it is a mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.
matplotlib.pyplot.suptitle() Function
The suptitle() function in pyplot module of the matplotlib library is used to add a title to the figure.
Syntax: matplotlib.pyplot.suptitle(t, **kwargs)
Parameters: This function will have following parameters:
- t : The title text you want to add to your graph.
- x : The x location of the text in figure coordinates. It’s default value is 0.5.
- y : The y location of the text in figure coordinates. It’s default value is 0.98.
- horizontalalignment (ha) : {‘center’, ‘left’, right’}, The horizontal alignment of the text is relative to (x, y). It’s default value is ‘center’.
- verticalalignment (va) : {‘top’, ‘center’, ‘bottom’, ‘baseline’}, The vertical alignment of the text is relative to (x, y). It’s default value is ‘top’.
- fontsize, size : {size in points, ‘xx-small’, ‘x-small’, ‘small’, ‘medium’, ‘large’, ‘x-large’, ‘xx-large’}, The font size of the text. It’s default value is ‘large’.
- fontweight, weight : {a numeric value in range 0-1000, ‘ultralight’, ‘light’, ‘normal’, ‘regular’, ‘book’, ‘medium’, ‘roman’, ‘semibold’, ‘demibold’, ‘demi’, ‘bold’, ‘heavy’, ‘extra bold’, ‘black’}, The font weight of the text. It’s default value is ‘normal’.
- fontproperties : None or dict, A dict of font properties. If fontproperties is given the default values for font size and weight are taken from the FontProperties defaults. rcParams[“figure.titlesize”] = ‘large’ and rcParams[“figure.titleweight”] = ‘normal’ are ignored in this case.
- **kwargs : Additional kwargs are matplotlib.text.Text properties.
Returns: The Text instance of the title.
Below examples illustrate the matplotlib.pyplot.suptitle() function in matplotlib.pyplot:
Example 1: Adding a title to the graph with font size 12.
Python3
import matplotlib.pyplot as plt
x = [ 6 , 12 , 18 ,
24 , 30 , 36 ,
42 , 48 , 54 ,
60 ]
y = [ 1 , 4 , 3 ,
2 , 7 , 6 ,
9 , 8 , 10 ,
5 ]
plt.plot(x, y)
plt.xlabel( 'x' )
plt.ylabel( 'y' )
plt.suptitle( 'This is the figure title' ,
fontsize = 12 )
plt.show()
|
Output :
Example 2: Adding title to the graph with left horizontal alignment and font size 12.
Python3
import matplotlib.pyplot as plt
x = [ 6 , 12 , 18 ,
24 , 30 , 36 ,
42 , 48 , 54 ,
60 ]
y = [ 1 , 4 , 3 ,
2 , 7 , 6 ,
9 , 8 , 10 ,
5 ]
plt.plot(x, y)
plt.xlabel( 'x' )
plt.ylabel( 'y' )
plt.suptitle( 'This is the figure title' ,
ha = 'left' ,
fontsize = 12 )
|
Output:
Example 3: Adding title to the graph with extra bold font weight and large font size.
Python3
import matplotlib.pyplot as plt
x = [ 6 , 12 , 18 ,
24 , 30 , 36 ,
42 , 48 , 54 ,
60 ]
y = [ 1 , 4 , 3 ,
2 , 7 , 6 ,
9 , 8 , 10 ,
5 ]
plt.plot(x, y)
plt.xlabel( 'x' )
plt.ylabel( 'y' )
plt.suptitle( 'This is the figure title' ,
fontsize = 'xx-large' ,
weight = 'extra bold' )
|
Output:
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