Solution:Step 1: Understand the array shape and axisThe array shape is (3, 2). Axis=0 means sum down rows for each column.Step 2: Calculate sum along axis=0Sum column 1: 1 + 3 + 5 = 9Sum column 2: 2 + 4 + 6 = 12Final Answer:[9 12] is the sum along columns -> Option DQuick Check:Sum axis=0 = column s

[Solved] Given the array:arr = np.array([[1, 2], [3, 4], [5, 6]])What is the output of np.sum(arr, axis=0)? — Ans: [9 12] | 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[6 8]

B[3 7]

C[1 2 3]

D[9 12]

Step-by-Step Solution

Solution:

Step 1: Understand the array shape and axis
The array shape is (3, 2). Axis=0 means sum down rows for each column.
Step 2: Calculate sum along axis=0
Sum column 1: 1 + 3 + 5 = 9
Sum column 2: 2 + 4 + 6 = 12
Final Answer:
[9 12] is the sum along columns -> Option D
Quick Check:
Sum axis=0 = column sums = [9 12] [OK]

Quick Trick: axis=0 sums columns, add down rows [OK]

Common Mistakes:

Summing rows instead of columns
Mixing up axis=0 and axis=1
Incorrect addition of elements

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More NumPy Quizzes

Given the array:

Step 1: Understand the array shape and axis

Step 2: Calculate sum along axis=0

Final Answer:

Quick Check:

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