Lesson 18
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 permutationβwithout losing alignment.
Search functions like searchsorted build on the same ordered-array mental model.
ResourcesDocs, references & more β opens in a new tab
π― Your Task
data = [50,10,40,20,30]. order = np.argsort(data). sorted_data = data[order].
order = np.argsort(data)
ββ run Β· ββ β nav
βΆ Output
Run your code to see output here.