Matplotlib.pyplot.grid() in Python

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: