[Solved] The following code throws an error. What is the problem?import numpy as np arr = np.array([4, 8, 6]) print(np.min(arr, axis=1)) | NumPy

NumPy - Aggregation Functions

The following code throws an error. What is the problem?

import numpy as np
arr = np.array([4, 8, 6])
print(np.min(arr, axis=1))

AThe array is 1D, axis=1 is invalid

Bnp.min() does not accept axis argument

Cnp.min() requires a list, not an array

DThe array contains non-numeric values

Step-by-Step Solution

Solution:

Step 1: Check array dimensions
The array arr is one-dimensional (shape (3,)).
Step 2: Understand axis parameter
Axis=1 means operate along columns of a 2D or higher array. For 1D arrays, axis=1 is invalid and causes an error.
Final Answer:
The array is 1D, axis=1 is invalid -> Option A
Quick Check:
1D array + axis=1 = error [OK]

Quick Trick: Use axis only within array dimension range [OK]

Common Mistakes:

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