[Solved] What does boolean indexing in numpy allow you to do? — Ans: Select elements from an array using a True/False mask | NumPy

NumPy - Indexing and Slicing

What does boolean indexing in numpy allow you to do?

ACreate a new array filled with zeros

BChange the data type of an array

CSort the array elements in ascending order

DSelect elements from an array using a True/False mask

Step-by-Step Solution

Solution:

Step 1: Understand boolean indexing concept
Boolean indexing uses a True/False array to pick elements from another array.
Step 2: Identify the correct operation
Only Select elements from an array using a True/False mask describes selecting elements based on True/False values.
Final Answer:
Select elements from an array using a True/False mask -> Option D
Quick Check:
Boolean indexing = Select elements [OK]

Quick Trick: Boolean mask picks elements where True appears [OK]

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What does boolean indexing in numpy allow you to do?