Solution:Step 1: Flatten the array to find the minimum value indexThe array flattened is [3, 7, 2, 5, 1, 9]. The smallest value is 1.Step 2: Find the index of the minimum value in the flattened array1 is at index 4.Final Answer:4 -> Option AQuick Check:np.argmin(arr) = 4 (flattened index) [OK]

[Solved] Given the 2D array:arr = np.array([[3, 7, 2], [5, 1, 9]])What does np.argmin(arr) return? — Ans: 4 | NumPy

NumPy - Aggregation Functions

Given the 2D array:

arr = np.array([[3, 7, 2], [5, 1, 9]])

What does np.argmin(arr) return?

A4

B1

C5

D2

Step-by-Step Solution

Solution:

Step 1: Flatten the array to find the minimum value index
The array flattened is [3, 7, 2, 5, 1, 9]. The smallest value is 1.
Step 2: Find the index of the minimum value in the flattened array
1 is at index 4.
Final Answer:
4 -> Option A
Quick Check:
np.argmin(arr) = 4 (flattened index) [OK]

Quick Trick: np.argmin() returns index in flattened array for multi-dim arrays [OK]

Common Mistakes:

Expecting 2D index tuple
Confusing minimum value with index
Using argmax instead of argmin

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More NumPy Quizzes

Given the 2D array:

Step 1: Flatten the array to find the minimum value index

Step 2: Find the index of the minimum value in the flattened array

Final Answer:

Quick Check:

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