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.
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: