Matplotlib.axis.Axis.get_ticklabels() function in Python

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. It is an amazing visualization library in Python for 2D plots of arrays and used for working with the broader SciPy stack.

matplotlib.axis.Axis.get_ticklabels() Function

The Axis.get_ticklabels() function in axis module of matplotlib library is used to get the tick labels as a list of Text instances.

Syntax: Axis.get_ticklabels(self, minor=False, which=None) 

Parameters: This method accepts the following parameters. 

• minor : This parameter contains the boolean value. If True return the minor ticklabels, else return the major ticklabels.
• which : This parameter selects which ticklabels to return.

Return value: This method returns the List of Text instances. 

Below examples illustrate the matplotlib.axis.Axis.get_ticklabels() function in matplotlib.axis:

Example 1:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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.axis.Axis.get_ticklabels()\n\
Function Example', fontweight ="bold")
ax.grid()

print("Value of get_ticklabels() :")
for i in ax.xaxis.get_ticklabels():
    print(i)

plt.show()

Output:

Value of get_ticklabels() :
Text(0, 0, '$a$')
Text(0, 0, '$valx$')
Text(0, 0, '$b$')

Example 2:

Python3

# Implementation of matplotlib function
from matplotlib.axis import Axis
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.axis.Axis.get_ticklabels()\n\
Function Example', fontweight ="bold")
ax.grid()

print("Value of get_ticklabels() :")
for i in ax.xaxis.get_ticklabels():
    print(i)

plt.show()

Output:

Value of get_ticklabels() :
Text(0, 0, '0')
Text(0, 0, '$\\pi$')
Text(0, 0, '2$\\pi$')