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Matplotlib.axes.Axes.set_title() in Python

Last Updated : 19 Apr, 2020
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Matplotlib is a library in Python and it is numerical - mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.set_title() Function

The Axes.set_title() function in axes module of matplotlib library is used to set a title for the axes.
Syntax: Axes.set_title(self, label, fontdict=None, loc='center', pad=None, **kwargs) Parameters: This method accepts the following parameters.
  • label : This parameter is the Text to use for the title.
  • fontdict : This parameter is the dictionary controlling the appearance of the title text.
  • loc : This parameter is used to set the location of the title {'center', 'left', 'right'}.
  • pad : This parameter is the offset of the title from the top of the axes, in points.
Returns:This method returns the matplotlib text instance representing the title.
Below examples illustrate the matplotlib.axes.Axes.set_title() function in matplotlib.axes: Example 1: Python3
# Implementation of matplotlib function
import os
from matplotlib import font_manager as fm, rcParams
import matplotlib.pyplot as plt

fig, ax = plt.subplots()

fpath = os.path.join(rcParams["datapath"], 
                     "fonts/ttf/cmr10.ttf")

prop = fm.FontProperties(fname = fpath)
fname = os.path.split(fpath)[1]
ax.set_title('Title with special font: {}'.format(fname),
             fontproperties = prop, 
             fontsize = 14)

plt.show()
Output: Example 2: Python3
# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt

x = np.arange(0.1, 5, 0.1)
y = np.exp(-x)

yerr = 0.1 + 0.1 * np.sqrt(x)

fig, axs = plt.subplots(nrows = 1,
                        ncols = 2, 
                        sharex = True)
ax = axs[0]
ax.errorbar(x, y, yerr = yerr, 
            color ="green")
ax.set_title('Title of Axes 1', 
             fontweight ="bold")

ax = axs[1]
ax.errorbar(x, y, yerr = yerr,
            errorevery = 5, 
            color ="green")

ax.set_title('Title of Axes 2',
             fontweight ="bold")



fig.suptitle('matplotlib.axes.Axes.set_title() \
function Example\n')

plt.show()
Output:

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