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# Matplotlib.axes.Axes.set_xticklabels() 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_xticklabels() Function

The Axes.set_xticklabels() function in axes module of matplotlib library is used to Set the x-tick labels with list of string labels.

Syntax: Axes.set_xticklabels(self, labels, fontdict=None, minor=False, **kwargs)

Parameters: This method accepts the following parameters.

• labels : This parameter is the list of string labels.
• fontdict : This parameter is the dictionary controlling the appearance of the ticklabels.
• minor : This parameter is used whether set major ticks or to set minor ticks

Return value: This method returns a list of Text instances.

Below examples illustrate the matplotlib.axes.Axes.set_xticklabels() function in matplotlib.axes:

Example 1:

## Python3

 # Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt from matplotlib.patches import Polygon         def func(x):     return (x - 4) * (x - 6) * (x - 5) + 100         a, b = 2, 9  # integral limits x = np.linspace(0, 10) y = func(x)     fig, ax = plt.subplots() ax.plot(x, y, "k", linewidth = 2) ax.set_ylim(bottom = 0)     # Make the shaded region ix = np.linspace(a, b) iy = func(ix) verts = [(a, 0), *zip(ix, iy), (b, 0)]   poly = Polygon(verts, facecolor ='green',                edgecolor ='0.5', alpha = 0.4) ax.add_patch(poly)     ax.text(0.5 * (a + b), 30,          r"$\int_a ^ b f(x)\mathrm{d}x$",         horizontalalignment ='center',          fontsize = 20)     fig.text(0.9, 0.05, '$x$') fig.text(0.1, 0.9, '$y$')     ax.spines['right'].set_visible(False) ax.spines['top'].set_visible(False)   ax.set_xticks((a, b-a, b)) ax.set_xticklabels(('$a$', '$valx$', '$b$'))     fig.suptitle('matplotlib.axes.Axes.set_xticklabels() \ function Example\n\n', fontweight ="bold") fig.canvas.draw() plt.show()

Output:

Example 2:

## Python3

 # Implementation of matplotlib function import numpy as np import matplotlib.pyplot as plt     # Fixing random state for reproducibility np.random.seed(19680801)     x = np.linspace(0, 2 * np.pi, 100) y = np.sin(x) y2 = y + 0.2 * np.random.normal(size = x.shape)     fig, ax = plt.subplots() ax.plot(x, y) ax.plot(x, y2)    ax.set_xticks([0, np.pi, 2 * np.pi]) ax.set_xticklabels(['0', r'$\pi$', r'2$\pi$'])     ax.spines['left'].set_bounds(-1, 1) ax.spines['right'].set_visible(False) ax.spines['top'].set_visible(False)     fig.suptitle('matplotlib.axes.Axes.set_xticklabels() \ function Example\n\n', fontweight ="bold") fig.canvas.draw() plt.show()

Output:

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