Matplotlib.axes.Axes.get_yticklabels() in Python

Last Updated : 21 Apr, 2020

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_yticklabels() Function

The Axes.get_yticklabels() function in axes module of matplotlib library is used to return the y ticks as a list of locations.

Syntax: Axes.get_yticks(self, minor=False) Parameters: This method accepts the following parameters.

minor : This parameter is used whether set major ticks or to set minor ticks

Return value: This method does not returns any value

Below examples illustrate the matplotlib.axes.Axes.get_yticklabels() function in matplotlib.axes: Example 1:

Python3

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms


fig, ax = plt.subplots()
ax.plot(range(12, 24), range(12))
ax.set_yticks((2, 5, 7, 10))
ax.set_yticklabels(("Label-1", "Label-2", 
                    "Label-3", "Label-4"))
 
w = ax.get_yticklabels()
ax.text(16, 10, "yticklabels values : ",
       fontweight ="bold")
x = 10
for i in list(w):
    ax.text(16, x-1, str(i), fontweight ="bold")
    x-= 1

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

Output:

Example 2:

Python3

# Implementation of matplotlib function
import matplotlib.pyplot as plt
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.gridspec as gridspec


fs = 1000
t = np.linspace(0, 0.3, 301)
A = np.array([2, 8]).reshape(-1, 1)
f = np.array([150, 140]).reshape(-1, 1)
xn = (A * np.sin(2 * np.pi * f * t)).sum(axis = 0)
xn += 5 * np.random.randn(*t.shape)
 
fig, ax = plt.subplots()
 
yticks = [-40, -15, 10]
 
ax.psd(xn, NFFT = 301, 
       Fs = fs, 
       window = mlab.window_none,
       pad_to = 1024,
       scale_by_freq = True)

ax.set_yticks(yticks)
ax.set_yticklabels(("Low-1", "High", "Low-2"))
ax.grid(True)
 
w = ax.get_yticklabels()
ax.text(200, 8, "yticklabels values : ", 
        fontweight ="bold")
x = 8
for i in list(w):
    ax.text(200, x-3, str(i), fontweight ="bold")
    x-= 3

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