![]() ![]() () method is also used to set the main title for all subplots in a figure. figure.suptitle() to Add Main Title for All the Subplots ![]() We can also add figure-level x- and y-labels using FigureBase.supxlabel and FigureBase.supylabel. In this case, the fontsize=20 is set to make the main title distinguishable from the titles of each subplot. Each axes can have a title (or actually three - one each with loc 'left', 'center', and 'right'), but is sometimes desirable to give a whole figure (or SubFigure) an overall title, using FigureBase.suptitle. We can specify various parameters such as x co-ordinate, y co-ordinate, font size and alignments using various parameters to the plt.suptitle() method. Each axes can have a title (or actually three - one each with loc 'left', 'center', and 'right'), but is sometimes desirable to give a whole figure (or SubFigure) an overall title, using FigureBase.suptitle. In this example, t_title() method is used to add title to individual subplots while plt.suptitle() method is used to add main title common for all subplots. Matplotlib Matplotlib Subplots Matplotlib Title pyplot.suptitle () to Add Main Title for All the Subplots figure.suptitle () to Add Main Title for All the Subplots We use settitle (label) and ttext (label) methods to add titles to individual subplots in Matplotlib. suptitle( 'Various Straight Lines',fontsize = 20) We can specify various parameters such as x co-ordinate, y co-ordinate, font size and alignments using various parameters to the plt. replace: plt. Output: In this example, ttitle() method is used to add title to individual subplots while plt.suptitle() method is used to add main title common for all subplots. Python3 import numpy as np import matplotlib.pyplot as plt xnp.array ( 1, 2, 3, 4, 5) fig, ax plt.subplots (2, 2) ax 0, 0.plot (x, x) ax 0, 1.plot (x, x2) ax 1, 0. In general, if you have several axes, you will be better off using the object-oriented interface of matplotlib rather that the pyplot interface. 32.3k 47 109 178 Add a comment 3 Answers Sorted by: 444 Use pyplot.suptitle or Figure.suptitle: import matplotlib.pyplot as plt import numpy as np figplt.figure () datanp.arange (900).reshape ( (30,30)) for i in range (1,5): axfig.addsubplot (2,2,i) ax.imshow (data) fig.suptitle ('Main title') or plt.suptitle ('Main title') plt. Example 1: (Using settitle () method) We use .settitle (label) method to set title (string label) for the current subplot Axes. Import numpy as np import matplotlib.pyplot as plt m1 = 1 c1 = 0 m2 = 2 c2 = 2 m3 = 2 c3 = 1 m4 = 1 c4 = 2 x =np. plt.title() acts on the current axes, which is generally the last created, and not the Axes that you are thinking of. ![]()
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