[Solved] Find the error in this code snippet:import numpy as np arr = np.array([1, 2, 3], dtype='int128') print(arr) | NumPy

NumPy - Array Data Types

Find the error in this code snippet:

import numpy as np
arr = np.array([1, 2, 3], dtype='int128')
print(arr)

AArray elements must be floats

BMissing import statement

Cint128 is not a valid numpy dtype

DSyntax error in array creation

Step-by-Step Solution

Solution:

Step 1: Check valid numpy integer types
numpy supports int8, int16, int32, int64 but not int128.
Step 2: Identify error cause
Using 'int128' as dtype causes a ValueError because it is invalid.
Final Answer:
int128 is not a valid numpy dtype -> Option C
Quick Check:
Only int8, int16, int32, int64 are valid integer dtypes [OK]

Quick Trick: Use only supported integer dtypes: int8 to int64 [OK]

Common Mistakes:

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