[Solved] What is the output of the following code?import numpy as np arr = np.array([1, 4, 9, 16]) result = np.sqrt(arr) print(result) | NumPy

NumPy - Array Operations

What is the output of the following code?

import numpy as np
arr = np.array([1, 4, 9, 16])
result = np.sqrt(arr)
print(result)

A[1. 2. 3. 4.]

B[1 2 3 4]

C[1. 4. 9. 16.]

D[0. 2. 3. 4.]

Step-by-Step Solution

Solution:

Step 1: Understand np.sqrt on array elements
Applying np.sqrt on each element: sqrt(1)=1.0, sqrt(4)=2.0, sqrt(9)=3.0, sqrt(16)=4.0.
Step 2: Check output format
NumPy returns floats for sqrt, so output is [1. 2. 3. 4.].
Final Answer:
[1. 2. 3. 4.] -> Option A
Quick Check:
np.sqrt([1,4,9,16]) = [1. 2. 3. 4.] [OK]

Quick Trick: Square root returns floats, watch decimal points [OK]

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