Matplotlib.pyplot.grid() in Python

0 0 1 minute read

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. Pyplot is a state-based interface to a Matplotlib module which provides a MATLAB-like interface.

matplotlib.pyplot.grid() Function

The grid() function in pyplot module of matplotlib library is used to configure the grid lines.

Syntax: matplotlib.pyplot.grid(b=None, which=’major’, axis=’both’, \*\*kwargs)

Parameters: This method accept the following parameters.

b : This parameter is an optional parameter, whether to show the grid lines or not.

which : This parameter is also an optional parameter and it is the grid lines to apply the changes on.

axis :This parameter is also an optional parameter and it is the axis to apply the changes on.

Returns:This method does not return any value.

Below examples illustrate the matplotlib.pyplot.grid() function in matplotlib.pyplot:

Example #1:

# Implementation of matplotlib function    
import matplotlib.pyplot as plt 
import numpy as np 
      
plt.plot([1, 2, 3]) 
plt.grid() 
  
plt.title('matplotlib.pyplot.grid() function \ 
Example\n\n', fontweight ="bold") 
plt.show() 

Output:

Example #2:

# Implementation of matplotlib function    
import numpy as np 
import matplotlib.pyplot as plt 
  
np.random.seed(19680801) 
  
val, res = 100, 15
x = np.sin(val + res * np.random.randn(10000)) - np.cos(val + res * np.random.randn(10000)) 
  
n, bins, patches = plt.hist(x, 200,  
                            density = True,  
                            facecolor ='g',  
                            alpha = 0.5) 
  
plt.grid(True) 
  
plt.title('matplotlib.pyplot.grid() function \ 
Example\n\n', fontweight ="bold") 
  
plt.show() 