Matplotlib.axes.Axes.get_yticks() in Python

Last Updated : 19 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_yticks() Function

The Axes.get_yticks() 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_yticks() 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)) 
  
w = ax.get_yticks() 
ax.text(15, 9, "ytick values : "+str(w),  
       fontweight ="bold") 
  
fig.suptitle('matplotlib.axes.Axes.get_yticks() \ 
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 = np.arange(-50, 30, 10) 
  
ax.psd(xn, NFFT = 301, 
       Fs = fs,  
       window = mlab.window_none,  
       pad_to = 1024, 
        scale_by_freq = True) 
  
ax.set_yticks(yticks) 
ax.grid(True) 
  
w = ax.get_yticks() 
ax.text(80, 12, "ytick values : "+str(w),  
        fontweight ="bold") 
  
fig.suptitle('matplotlib.axes.Axes.get_yticks() \ 
function Example\n\n', fontweight ="bold") 
plt.show() 

Output:

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