Solution:Step 1: Understand axis=0 sumSum down rows means add elements in each column: (1+4), (2+5), (3+6).Step 2: Calculate sumsCalculations: 1+4=5, 2+5=7, 3+6=9, so result is [5 7 9].Final Answer:[5 7 9] -> Option BQuick Check:Sum axis=0 adds columns down rows [OK]

[Solved] Given the array:arr = np.array([[1, 2, 3], [4, 5, 6]])What is the output of np.sum(arr, axis=0)? — Ans: [5 7 9] | NumPy

NumPy - Aggregation Functions

Given the array:

arr = np.array([[1, 2, 3], [4, 5, 6]])

What is the output of np.sum(arr, axis=0)?

A[3 7 11]

B[5 7 9]

C[6 15]

D[1 2 3 4 5 6]

Step-by-Step Solution

Solution:

Step 1: Understand axis=0 sum
Sum down rows means add elements in each column: (1+4), (2+5), (3+6).
Step 2: Calculate sums
Calculations: 1+4=5, 2+5=7, 3+6=9, so result is [5 7 9].
Final Answer:
[5 7 9] -> Option B
Quick Check:
Sum axis=0 adds columns down rows [OK]

Quick Trick: Sum axis=0 adds columns down rows [OK]

Common Mistakes:

Adding rows instead of columns
Confusing axis=0 with axis=1
Returning flattened array instead of summed

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Given the array:

Step 1: Understand axis=0 sum

Step 2: Calculate sums

Final Answer:

Quick Check:

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