Sorting & Searching
np.argsort returns indices that would sort:
order = np.argsort(a) sorted = a[order]
Why this matters
Sorting values is common; argsort is for when you need rank order or must reorder parallel arrays (labels, scores, timestamps) by the same permutation—without losing alignment.
Search functions like searchsorted build on the same ordered-array mental model.
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🎯 Your Task
data = [50,10,40,20,30]. order = np.argsort(data). sorted_data = data[order].
order = np.argsort(data)
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▶ Output
Run your code to see output here.