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In numpy, what is the primary advantage of using negative indexing when accessing array elements?

easy📝 Conceptual Q1 of 15
NumPy - Indexing and Slicing
In numpy, what is the primary advantage of using negative indexing when accessing array elements?
AIt sorts the array in descending order
BIt increases the size of the array dynamically
CIt allows accessing elements starting from the end of the array
DIt converts the array elements to negative values
Step-by-Step Solution
Solution:

  1. Step 1: Understand indexing

    Positive indexing starts from 0 at the beginning of the array.

  2. Step 2: Negative indexing

    Negative indexing starts from -1 at the last element and moves backward.

  3. Final Answer:

    It allows accessing elements starting from the end of the array -> Option C

  4. Quick Check:

    Negative index -1 corresponds to last element [OK]
Quick Trick: Negative index -1 means last element [OK]
Common Mistakes:
  • Confusing negative indexing with sorting
  • Assuming negative indexing changes array size
  • Thinking negative indexing modifies element values

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