Sometimes we need to add a border around a NumPy matrix. Numpy provides a function known as ‘numpy.pad()’ to construct the border. The below examples show how to construct a border of ‘0’ around the identity matrix.
Syntax :
numpy.pad(array, pad_width, mode='constant', **kwargs)
Example 1: Construct a border of 0s around 2D identity matrix
Python3
# importing Numpy package import numpy as np # Creating a 2X2 Numpy matrix array = np.ones((2, 2)) print("Original array") print(array) print("\n0 on the border and 1 inside the array") # constructing border of 0 around 2D identity matrix # using np.pad() array = np.pad(array, pad_width=1, mode='constant', constant_values=0) print(array) |
Output:
In the above examples, we construct a border of 0s around the 2-D NumPy matrix.
Example 2: Construct a border of 0s around 3D identity matrix
Python3
# importing Numpy package import numpy as np # Creating a 3X3 Numpy matrix array = np.ones((3, 3)) print("Original array") print(array) print("\n0 on the border and 1 inside the array") # constructing border of 0 around 3D identity matrix # using np.pad() array = np.pad(array, pad_width=1, mode='constant', constant_values=0) print(array) |
Output:
In the above examples, we construct a border of 0s around the 3-D NumPy matrix.
Example 3: Construct a border of 0s around 4D identity matrix
Python3
# importing Numpy package import numpy as np # Creating a 4X4 Numpy matrix array = np.ones((4, 4)) print("Original array") print(array) print("\n0 on the border and 1 inside the array") # constructing border of 0 around 4D identity matrix # using np.pad() array = np.pad(array, pad_width=1, mode='constant', constant_values=0) print(array) |
Output:
In the above examples, we construct a border of 0s around the 4-D NumPy matrix.
