[Solved] In NumPy, what is the primary benefit of using fancy indexing with integer arrays? — Ans: It allows selection of multiple arbitrary elements from an array simultaneously. | NumPy

NumPy - Indexing and Slicing

In NumPy, what is the primary benefit of using fancy indexing with integer arrays?

AIt reshapes the array into a higher dimension.

BIt sorts the array elements in ascending order.

CIt converts the array into a list of integers.

DIt allows selection of multiple arbitrary elements from an array simultaneously.

Step-by-Step Solution

Solution:

Step 1: Understand fancy indexing
Fancy indexing lets you select elements at specific positions using integer arrays.
Step 2: Identify the benefit
This method enables simultaneous selection of multiple arbitrary elements, unlike slicing which is limited to continuous ranges.
Final Answer:
It allows selection of multiple arbitrary elements from an array simultaneously. -> Option D
Quick Check:
Fancy indexing = arbitrary element selection [OK]

Quick Trick: Fancy indexing picks elements by position arrays [OK]

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In NumPy, what is the primary benefit of using fancy indexing with integer arrays?