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What does the np.split() function do in NumPy?

easy📝 Conceptual Q11 of 15
NumPy - Array Manipulation
What does the np.split() function do in NumPy?
AIt merges multiple arrays into one large array.
BIt divides an array into multiple smaller arrays at specified indices or into equal parts.
CIt sorts the elements of an array in ascending order.
DIt reshapes an array into a different shape without changing data.
Step-by-Step Solution
Solution:

  1. Step 1: Understand the purpose of np.split()

    The function is designed to break a large array into smaller arrays either by specifying split points or by dividing into equal parts.

  2. Step 2: Compare with other array functions

    Unlike merging, sorting, or reshaping, np.split specifically divides arrays.

  3. Final Answer:

    It divides an array into multiple smaller arrays at specified indices or into equal parts. -> Option B

  4. Quick Check:

    np.split() = divides array [OK]
Quick Trick: Remember: split means break into parts [OK]
Common Mistakes:
  • Confusing split with merge
  • Thinking it sorts arrays
  • Mixing with reshape

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