[Solved] What is the output of the following code?import numpy as np arr = np.array([10, 20, 30, 40, 50, 60]) splits = np.split(arr, [2, 4]) print(splits) | NumPy

NumPy - Array Manipulation

What is the output of the following code?

import numpy as np
arr = np.array([10, 20, 30, 40, 50, 60])
splits = np.split(arr, [2, 4])
print(splits)

A[array([10]), array([20, 30, 40]), array([50, 60])]

B[array([10, 20, 30]), array([40, 50, 60])]

C[array([10, 20]), array([30, 40]), array([50, 60])]

D[array([10, 20]), array([30]), array([40, 50, 60])]

Step-by-Step Solution

Solution:

Step 1: Understand split indices
The list [2, 4] means split at index 2 and then at index 4.
Step 2: Divide the array accordingly
arr[:2] = [10, 20], arr[2:4] = [30, 40], arr[4:] = [50, 60]
Final Answer:
[array([10, 20]), array([30, 40]), array([50, 60])] -> Option C
Quick Check:
Split at 2 and 4 gives 3 parts [OK]

Quick Trick: Split indices mark where to cut array [OK]

Common Mistakes:

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