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Identify the error in this code snippet:

medium📝 Debug Q6 of 15
NumPy - Array Data Types
Identify the error in this code snippet:
import numpy as np
arr = np.array([1, 2, 3])
arr.astype('integer')
AThe array cannot be converted to integer type
BThe array must be converted using <code>astype(int)</code> without quotes
CThe string 'integer' is not a valid NumPy dtype name
DThe <code>astype()</code> method requires an additional argument
Step-by-Step Solution
Solution:
  1. Step 1: Check dtype string validity

    NumPy expects dtype names like 'int', 'int32', or 'int64', but 'integer' is not recognized.
  2. Step 2: Confirm correct dtype usage

    Using 'int' or int without quotes is valid, so 'integer' causes an error.
  3. Final Answer:

    The string 'integer' is not a valid NumPy dtype name -> Option C
  4. Quick Check:

    Use valid dtype names in astype() [OK]
Quick Trick: Use valid dtype names like 'int', not 'integer' [OK]
Common Mistakes:
  • Using invalid dtype strings
  • Assuming astype() needs extra arguments
  • Confusing dtype names with Python types

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