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

  • Last Updated : 08 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.format_cursor_data() Function

The Axis.format_cursor_data() function in axis module of matplotlib library is used to get the string representation of data. 
 

Syntax: Axis.format_cursor_data(self, data) 
 

Parameters: This method accepts the following parameters. 

  • data: This parameter is the data which is used to be used.

Return value: This method return the string representation of data. 



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

Example 1:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np 
import matplotlib.pyplot as plt        
    
np.random.seed(10**7
geeksx = np.random.randn(10
     
fig, ax = plt.subplots() 
ax.plot(geeksx) 
     
ax.text(1.5, 0.85,  
        "Value return by format_cursor_data():",  
        fontweight ="bold"
     
ax.text(0, 0.7
        Axis.format_cursor_data(ax, data = geeksx)) 
  
fig.suptitle("""matplotlib.axis.Axis.format_cursor_data()
function Example\n""", fontweight ="bold")  
    
plt.show()

Output: 
 

Example 2:

Python3




# Implementation of matplotlib function
from matplotlib.axis import Axis
import numpy as np 
import matplotlib.pyplot as plt        
    
geeksx = np.array([24.40, 110.25, 20.05
                   22.00, 61.90, 7.80
                   15.00]) 
         
fig, ax = plt.subplots() 
ax.plot(geeksx, 'go-'
      
ax.text(1, 95
        "Value return by format_cursor_data():"
        fontweight ="bold"
    
ax.text(1.3, 85
        Axis.format_cursor_data(ax, 
                                  data = geeksx)) 
  
fig.suptitle("""matplotlib.axis.Axis.format_cursor_data()
function Example\n""", fontweight ="bold")  
    
plt.show()

Output: 
 

 

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