np.where(arr == 4)returns the indexes of matches.np.sort(arr)returns a sorted copy.- Boolean indexing:
arr[arr > 50]keeps the elements where the condition is True.
NumPy Search, Sort & Filter
where, sort and boolean masks.
✍️ 3 exercises + code challenge in this lessonKey Takeaways: NumPy Search, Sort & Filter
Mastering NumPy Search, Sort & Filter helps you write clean and reliable NumPy code. Follow standard conventions, test edge cases, and keep logic simple. Try running the code example below and complete the exercises to build confidence.
NumPy Search, Sort & Filter Code Example
NumPyimport numpy as np
marks = np.array([72, 95, 58, 88, 64])
print(np.sort(marks))
print(np.where(marks == 88))
print(marks[marks >= 70])
print((marks >= 70).sum(), "students passed")Output
[58 64 72 88 95] (array([3]),) [72 95 88] 3 students passed
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NumPy Search, Sort & Filter Practice Exercises
Check what you learned in “NumPy Search, Sort & Filter”.
/ 3 solved
Fill in the blank
Keep only values greater than 50.
big = arr[arr 50]
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Multiple choice
What does np.sort(arr) return?
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Code challenge
Print the even numbers of arr as a list using a boolean filter.
Write the code in the live editor. Your answer is checked automatically.
✓ Solved
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