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Matplotlib.pyplot.grid() in Python

  • Last Updated : 21 Apr, 2020

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()

Output:

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