arr.sum(),arr.mean(),np.median(arr),arr.std()arr.min(),arr.max(),arr.argmax()(index of the max)- On 2-D arrays,
axis=0works down columns andaxis=1across rows.
NumPy Statistics
sum, mean, median, std and more.
✍️ 3 exercises + code challenge in this lessonKey Takeaways: NumPy Statistics
Mastering NumPy Statistics 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 Statistics Code Example
NumPyimport numpy as np
sales = np.array([[120, 150, 90], [200, 180, 220]])
print(sales.sum())
print(sales.sum(axis=0))
print(sales.mean(axis=1))
print(np.median([3, 1, 4, 1, 5]))
print(sales.argmax())Output
960 [320 330 310] [120. 200.] 3.0 5
Free sign-in required · Google login available
NumPy Statistics Practice Exercises
Check what you learned in “NumPy Statistics”.
/ 3 solved
Fill in the blank
Sum each column of a 2-D array.
m.sum(axis=)
✓ Correct!
Not quite. Try again.
Multiple choice
Which function returns the index of the largest value?
✓ Correct!
Not quite. Try again.
Code challenge
Print the mean of the marks.
Write the code in the live editor. Your answer is checked automatically.
✓ Solved
Free sign-in required · Google login available
to save your exercise progress.
Finished this lesson?
Mark it complete to track your progress.
Stuck on something?
Ask the community in the CodesInTech forum.
Need a developer?
Learning on your own is great — and when you need professional help, our team builds custom software, websites and mobile apps for clients worldwide.
Explore Our Services