[Solved] What is the output of the following code?import numpy as np arr = np.array([[1, 2, 3], [4, 5, 6]]) print(arr.transpose()) | NumPy

NumPy - Array Manipulation

What is the output of the following code?

import numpy as np
arr = np.array([[1, 2, 3], [4, 5, 6]])
print(arr.transpose())

A[[1 4] [2 5] [3 6]]

B[[1 2 3] [4 5 6]]

C[[1 4 2] [3 5 6]]

D[[6 5 4] [3 2 1]]

Step-by-Step Solution

Solution:

Step 1: Understand the original array shape
The array has shape (2, 3): 2 rows and 3 columns.
Step 2: Apply transpose()
Transpose swaps axes, so shape becomes (3, 2). Rows become columns and vice versa. The first column becomes the first row: [1,4], second: [2,5], third: [3,6].
Final Answer:
[[1 4] [2 5] [3 6]] -> Option A
Quick Check:
Transpose swaps rows and columns [OK]

Quick Trick: Transpose flips rows and columns in 2D arrays [OK]

Common Mistakes:

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