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

Last Updated : 03 Jun, 2020

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_majorticklabels() Function

The Axis.get_majorticklabels() function in axis module of matplotlib library is used to get a list of Text instances for the major ticklabels.

Syntax: Axis.get_majorticklabels(self)

Parameters: This method does not accepts any parameter.

Return value: This method returns the list of Text instances for the major ticklabels.

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

Example 1:

Python3

# Implementation of matplotlib function  
import numpy as np 
from matplotlib.axis import Axis   
import matplotlib.pyplot as plt 
import matplotlib.ticker as ticker 
     
np.random.seed(19680801) 
  
fig, ax = plt.subplots() 
ax.plot(100*np.random.rand(20)) 
  
formatter = ticker.FormatStrFormatter('%1.2f') 
Axis.set_major_formatter(ax.yaxis, formatter) 
  
print("Value of get_major_ticks() :") 
for i in ax.xaxis.get_majorticklabels(): 
    print(i) 
      
plt.title("Matplotlib.axis.Axis.get_majorticklabels()\n\ 
Function Example", fontsize = 12, fontweight ='bold')  
plt.show() 

Output:

Value of get_majorticklabels() :
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')
Text(0, 0, '')

Example 2:

Python3

# Implementation of matplotlib function  
from matplotlib.axis import Axis   
from matplotlib.artist import Artist   
import matplotlib.pyplot as plt   
import numpy as np   
       
np.random.seed(19680801)   
       
n = 100000
x = np.random.standard_normal(n)   
y = 2 * np.random.standard_normal(n)   
z =[1, 2, 3, 4]   
      
xmin = x.min()   
xmax = x.max()   
ymin = y.min()   
ymax = y.max()   
       
fig, ax = plt.subplots()   
hb = ax.hexbin(x, y,  
               gridsize = 50,  
               bins ='log',  
               cmap ='BuGn')   
    
ax.set(xlim =(xmin, xmax), ylim =(ymin, ymax))  
ax.xaxis.set_ticklabels(["A","B","C","D","E","F","G","H","I","J","K"]) 
print("Value of get_majorticklabels() :") 
for i in ax.xaxis.get_majorticklabels(): 
    print(i) 
      
plt.title("Matplotlib.axis.Axis.get_majorticklabels()\n\ 
Function Example", fontsize = 12, fontweight ='bold')  
plt.show() 

Output:

Value of get_majorticklabels() :
Text(0, 0, 'A')
Text(0, 0, 'B')
Text(0, 0, 'C')
Text(0, 0, 'D')
Text(0, 0, 'E')
Text(0, 0, 'F')
Text(0, 0, 'G')
Text(0, 0, 'H')
Text(0, 0, 'I')
Text(0, 0, 'J')
Text(0, 0, 'K')

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

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