Prerequisites: Matplotlib
A title in matplotlib library describes the main subject of plotting the graphs. Setting a title for just one plot is easy using the title() method. By using this function only the individual title plots can be set but not a single title for all subplots. Hence, to set a single main title for all subplots, suptitle() method is used.
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.
Approach
- Import module
- Create data to be plotted
- Set figure title using suptitle()
- Plot the graph
- Display plot
Implementation using approach given is given below:
Example 1:
Python3
import matplotlib.pyplot as pltimport numpy as np fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5)) x1 = [1, 2, 3, 4, 5, 6]y1 = [45, 34, 30, 45, 50, 38]y2 = [36, 28, 30, 40, 38, 48] labels = ["student 1", "student 2"] fig.suptitle(' Student marks in different subjects ', fontsize=30) # Creating the sub-plots.l1 = ax1.plot(x1, y1, 'o-', color='g')l2 = ax2.plot(x1, y2, 'o-') fig.legend([l1, l2], labels=labels, loc="upper right")plt.subplots_adjust(right=0.9) plt.show() |
Output:
Example 2:
Python3
import matplotlib.pyplot as pltimport numpy as np fig, ax = plt.subplots(2, 2)fig.suptitle('** Main Title for all sub plots **', fontsize=20)plt.style.use('seaborn') labels = ['first line', 'second line', 'third line', 'fourth line', 'fifth line'] ax[0, 0].plot([1, 2, 3, 4, 5], [9, 3, 5, 7, 9], '-.', color='g')ax[0, 0].set_title('first subplot')ax[0, 0].set_yticks(np.arange(1, 10)) ax[0, 1].plot([1, 2, 3, 4, 5, 6], [1, 4, 9, 7, 9, 8], '-*', color='m')ax[0, 1].set_title('second subplot')ax[0, 1].set_yticks(np.arange(1, 10)) ax[1, 0].plot([1, 2, 3, 4, 5], [8, 5, 2, 3, 3], '-v', color='r')ax[1, 0].set_title('third subplot')ax[1, 0].set_yticks(np.arange(1, 9)) ax[1, 1].plot([1, 2, 3, 4, 5, 6], [1, 3, 5, 7, 9, 6], 'o-', color='b')ax[1, 1].plot([1, 2, 3, 4, 5, 6, 7, 7], [ 7, 8, 6, 5, 2, 2, 4, 6], 'o-', color='g')ax[1, 1].set_title('fourth subplot')ax[1, 1].set_yticks(np.arange(1, 10)) fig.tight_layout()fig.legend(ax, labels=labels, loc="upper right", borderaxespad=0.1)fig.subplots_adjust(top=0.85) plt.show() |
Output:
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