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, 15x = 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:
