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Identify the mistake in this numpy code snippet:

medium📝 Debug Q6 of 15
NumPy - Array Operations
Identify the mistake in this numpy code snippet:
import numpy as np
arr = np.array([4, 5, 6])
result = arr == 4
result = arr = 5
print(result)
AUsing assignment '=' instead of comparison '==' in 'result = arr = 5'
BMissing import statement for numpy
CIncorrect use of print function
DArray elements are not integers
Step-by-Step Solution
Solution:
  1. Step 1: Analyze the code

    The code first compares 'arr == 4' and stores the boolean array in 'result'.
  2. Step 2: Identify the error

    The next line 'result = arr = 5' uses assignment '=' instead of comparison '=='. This assigns the integer 5 to 'arr' and then to 'result', overwriting the previous array and boolean result.
  3. Final Answer:

    The error is using '=' instead of '==' in 'result = arr = 5' -> Option A
  4. Quick Check:

    Check for '=' vs '==' in comparisons [OK]
Quick Trick: Use '==' for comparisons, '=' is assignment [OK]
Common Mistakes:
  • Confusing assignment '=' with equality '=='
  • Overwriting arrays unintentionally
  • Ignoring operator precedence in chained assignments

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