Matplotlib.axes.Axes.get_yminorticklabels() 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_yminorticklabels() Function:

The Axes.get_yminorticklabels() function in axes module of matplotlib library is used to return the minor y tick labels.

Syntax: Axes.get_yminorticklabels(self)

Parameters: This method does not accepts any parameters.

Return value: This method returns List of Text instances.

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

Example 1:

# 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_yminorticklabels()
ax.text(15, 8, "yminorticklabels values : " + str(list(w)),
        fontweight ="bold")

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

Output:

Example 2:

# 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_yminorticklabels()
ax.text(150, 6, "yminorticklabels values : " + str(list(w)),
        fontweight ="bold")

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

Output: