Matplotlib.axes.Axes.format_cursor_data() in Python

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:

Matplotlib.axes.Axes.format_cursor_data() in Python

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