Matplotlib.axes.Axes.get_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.get_xticklabels() Function

The Axes.get_xticklabels() function in axes module of matplotlib library is used to return the x ticks labels as a list of Text instances.

Syntax:Axes.get_xticklabels(self, minor=False, which=None)

Parameters: This method accepts the following parameters.

• minor : This parameter is used whether set major ticklabels or to set minor ticklabels
• which : This parameter is used to selects which ticklabels to return.

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

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

Example 1:

# 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(('$a$', '$valx$', '$b$'))

w = ax.get_xticklabels()
strr = str(list(w))
ax.text(3.4, 200, "xticklabels values : ",
       fontweight ="bold")
ax.text(1, 185, strr, fontweight ="bold")

fig.suptitle('matplotlib.axes.Axes.get_xticklabels() \
function Example\n\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

Output:

Example 2:

# 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)

w = ax.get_xticklabels()
strr = str(list(w))
ax.text(2.5, 0, "xticklabels values : ",
        fontweight ="bold")
ax.text(1, -0.2, strr, fontweight ="bold")

fig.suptitle('matplotlib.axes.Axes.get_xticklabels()\
 function Example\n\n', fontweight ="bold")
fig.canvas.draw()
plt.show()

Output: