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

  • Last Updated : 03 Jun, 2020
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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')

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