NumPy: Concatenate two 2-dimensional arrays

NumPy: Array Object Exercise-58 with Solution

Write a NumPy program to concatenate two 2-dimensional arrays.
Sample arrays: ([[0, 1, 3], [5, 7, 9]], [[0, 2, 4], [6, 8, 10]]

Pictorial Presentation:

Sample Solution:

Python Code:

# Importing the NumPy library with an alias 'np'
import numpy as np

# Creating two NumPy arrays 'a' and 'b'
a = np.array([[0, 1, 3], [5, 7, 9]])
b = np.array([[0, 2, 4], [6, 8, 10]])

# Concatenating arrays 'a' and 'b' along the second axis (horizontally) using np.concatenate
c = np.concatenate((a, b), 1)

# Printing the concatenated array 'c'
print(c) 

Sample Output:

[[ 0  1  3  0  2  4]                                                   
 [ 5  7  9  6  8 10]] 

Explanation:

In the above code –

‘a = np.array([[0, 1, 3], [5, 7, 9]])’ creates a 2D array a with shape (2, 3).

‘b = np.array([[0, 2, 4], [6, 8, 10]])’ creates another 2D array b with shape (2, 3).

c = np.concatenate((a, b), 1): The np.concatenate() function is used to join the two arrays ‘a’ and ‘b’ along the second axis (axis=1). The resulting array ‘c’ has the shape (2, 6), with the columns of ‘b’ appended to the columns of ‘a’.

Python-Numpy Code Editor:

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