Matplotlib.axes.Axes.set_title() in Python Last Updated : 12 Jul, 2025 Summarize Comments Improve Suggest changes Share Like Article Like Report 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: Comment More infoAdvertise with us Next Article Matplotlib.axes.Axes.set() in Python S SHUBHAMSINGH10 Follow Improve Article Tags : Python Python-matplotlib Practice Tags : python Similar Reads Matplotlib.axes.Axes.set_visible() in Python Matplotlib is a library in Python and it is numerical â 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. 1 min read Matplotlib.axes.Axes.set_visible() in Python Matplotlib is a library in Python and it is numerical â 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. 1 min read Matplotlib.axes.Axes.set() in Python Axes.set() function in Matplotlib is used to set multiple Axes properties at once using keyword arguments (**kwargs). This is a convenient way to configure an Axes object with labels, limits, title and more, all in one call. It's key features include:Acts as a batch property setter for Axes.Uses key 2 min read Matplotlib.axes.Axes.set() in Python Axes.set() function in Matplotlib is used to set multiple Axes properties at once using keyword arguments (**kwargs). This is a convenient way to configure an Axes object with labels, limits, title and more, all in one call. It's key features include:Acts as a batch property setter for Axes.Uses key 2 min read Matplotlib.axes.Axes.set_ylabel() in Python 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. 2 min read Matplotlib.axes.Axes.set_ylabel() in Python 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. 2 min read Like