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What is the main difference between flatten() and ravel() in NumPy?

easy📝 Conceptual Q11 of 15
NumPy - Array Manipulation
What is the main difference between flatten() and ravel() in NumPy?
ABoth return copies but differ in speed.
B<code>flatten()</code> returns a view, <code>ravel()</code> returns a copy.
CBoth return views but differ in shape.
D<code>flatten()</code> returns a copy, <code>ravel()</code> returns a view if possible.
Step-by-Step Solution
Solution:

  1. Step 1: Understand flatten() behavior

    flatten() always returns a new 1D copy of the array, so changes to the result do not affect the original.

  2. Step 2: Understand ravel() behavior

    ravel() returns a 1D view if possible, meaning it shares data with the original array and changes affect the original. If a view is not possible, it returns a copy.

  3. Final Answer:

    flatten() returns a copy, ravel() returns a view if possible. -> Option D

  4. Quick Check:

    Copy vs view difference = flatten() returns a copy, ravel() returns a view if possible. [OK]
Quick Trick: Remember: flatten copies, ravel tries to share data [OK]
Common Mistakes:
  • Thinking both always return copies
  • Confusing which returns a view
  • Assuming ravel always returns a copy

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