Matplotlib.axes.Axes.set_title() 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.
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:
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()
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Output:
Example 2:
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()
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Output:
Last Updated :
19 Apr, 2020
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