[Solved] Identify the error in this code snippet:import numpy as np arr = np.array([1.0, 2.0], dtype='float16') arr = arr.astype('float32') print(arr.dtype) | NumPy

NumPy - Array Data Types

Identify the error in this code snippet:

import numpy as np
arr = np.array([1.0, 2.0], dtype='float16')
arr = arr.astype('float32')
print(arr.dtype)

Adtype argument must be np.float32, not string

BNo error; code runs and prints float32

Castype cannot convert float16 to float32

Dprint statement syntax is wrong

Step-by-Step Solution

Solution:

Step 1: Check dtype usage in np.array
Using dtype='float16' is valid and creates a float16 array.
Step 2: Check astype conversion and print
astype('float32') converts array to float32 correctly. The print statement syntax is correct.
Final Answer:
No error; code runs and prints float32 -> Option B
Quick Check:
astype converts float16 to float32 fine [OK]

Quick Trick: astype converts float types smoothly [OK]

Common Mistakes:

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Identify the error in this code snippet: