[Solved] Identify the error in the following code snippet:import numpy as np arr = np.array([1, 2, 3]) new_arr = arr.astype('int32') print(new_arr.astype('float64')) | NumPy

NumPy - Array Data Types

Identify the error in the following code snippet:

import numpy as np
arr = np.array([1, 2, 3])
new_arr = arr.astype('int32')
print(new_arr.astype('float64'))

AError because 'int32' is not a valid dtype string

BNo error; code runs and prints float64 array

CError because astype() cannot be chained

DError because original array is modified

Step-by-Step Solution

Solution:

Step 1: Check dtype string validity
'int32' and 'float64' are valid NumPy dtype strings for 32-bit int and 64-bit float.
Step 2: Verify chaining of astype()
Chaining astype() calls is allowed because each returns a new array.
Final Answer:
No error; code runs and prints float64 array -> Option B
Quick Check:
Valid dtype strings and chaining astype() work [OK]

Quick Trick: astype() returns new array; chaining is allowed [OK]

Common Mistakes:

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