[Solved] What is wrong with this code snippet?import numpy as np x = np.array([[1, 2], [3, 4]]) y = np.array([5, 6, 7]) result = np.concatenate((x, y), axis=0) print(result) | NumPy

NumPy - Array Manipulation

What is wrong with this code snippet?

import numpy as np
x = np.array([[1, 2], [3, 4]])
y = np.array([5, 6, 7])
result = np.concatenate((x, y), axis=0)
print(result)

AError because y must be reshaped to 3D

BNo error, output is concatenated array

CError because axis=0 is invalid for 2D arrays

DError because arrays have incompatible shapes along axis=0

Step-by-Step Solution

Solution:

Step 1: Check shapes of arrays
x shape is (2, 2), y shape is (3,). They differ in both dimensions.
Step 2: Understand concatenate axis rules
Arrays must match in all dimensions except the concatenation axis. Here, axis=0 means rows, but y has no matching columns.
Final Answer:
Error because arrays have incompatible shapes along axis=0 -> Option D
Quick Check:
Shapes must match except on concat axis [OK]

Quick Trick: Check array shapes match except on concat axis [OK]

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What is wrong with this code snippet?