() 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 In this case, the fontsize=20 is set to make the main title distinguishable from the titles of each subplot. You can set the main figure title with fig.suptitle and subplot's titles with ax.settitle or by passing title to example: import matplotlib.pyplot as plt import numpy as np x np.arange(-np.pi, np.pi, 0.01) fig plt.figure() fig.suptitle('Main figure title') ax1 fig.addsubplot(311, title'Subplot 1 title') ax1.plot(x, np.sin(x)) ax2 fig.addsubplot(312) ax2.set. 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. import matplotlib.pyplot as plt fig plt.figure() st fig.suptitle('suptitle', fontsize'x-large') ax1 fig.addsubplot(311) ax1.plot(1,2,3) ax1. 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. ![]() ![]() suptitle( "Various Straight Lines", fontsize = 20) We can also add figure-level x- and y-labels using FigureBase.supxlabel and FigureBase.supylabel. ![]() 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. Output: plt.gca().settitle() / () to Set Title to Subplots in Matplotlib If you use Matlab-like style in the interactive plotting, then you could use plt. 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.
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