[Solved] What is the output shape of the following code?import numpy as np arr = np.zeros((3, 4, 5)) transposed = arr.transpose(1, 0, 2) print(transposed.shape) | NumPy

NumPy - Array Manipulation

What is the output shape of the following code?

import numpy as np
arr = np.zeros((3, 4, 5))
transposed = arr.transpose(1, 0, 2)
print(transposed.shape)

A(4, 5, 3)

B(5, 4, 3)

C(3, 4, 5)

D(4, 3, 5)

Step-by-Step Solution

Solution:

Step 1: Understand original shape
Original array shape is (3, 4, 5).
Step 2: Apply transpose with axes (1, 0, 2)
Axes order changes to (axis 1, axis 0, axis 2) = (4, 3, 5).
Final Answer:
(4, 3, 5) -> Option D
Quick Check:
Transpose axes reorder shape accordingly [OK]

Quick Trick: Transpose axes reorder shape as per given tuple [OK]

Common Mistakes:

Master "Array Manipulation" in NumPy

9 interactive learning modes - each teaches the same concept differently

More NumPy Quizzes

What is the output shape of the following code?