[Solved] Why does this code raise an error?arr = np.array([[1, 2, 3], [4, 5, 6]]) result = np.min(arr, axis=-4) | NumPy

NumPy - Aggregation Functions

Why does this code raise an error?

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

Anp.min does not support negative axis values

BNegative axis index is out of range for the array dimensions

CThe array must be 3D to use negative axis indices

Dnp.min requires axis to be a positive integer

Step-by-Step Solution

Solution:

Step 1: Determine array dimensions
The array arr has shape (2, 3), so ndim=2.
Step 2: Understand negative axis indexing
Negative axis indices count from the last dimension backwards, valid range is -2 to -1.
Step 3: Check axis value
Axis -4 is less than -2, so it is out of bounds.
Final Answer:
Negative axis index is out of range for the array dimensions -> Option B
Quick Check:
ndim=2, axis=-4 invalid [OK]

Quick Trick: Negative axis must be >= -ndim [OK]

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