FAQ: Mode - Mode SciPy

This community-built FAQ covers the “Mode SciPy” exercise from the lesson “Mode”.

Paths and Courses
This exercise can be found in the following Codecademy content:

Learn Statistics With Python

FAQs on the exercise Mode SciPy

There are currently no frequently asked questions associated with this exercise – that’s where you come in! You can contribute to this section by offering your own questions, answers, or clarifications on this exercise. Ask or answer a question by clicking reply (reply) below.

If you’ve had an “aha” moment about the concepts, formatting, syntax, or anything else with this exercise, consider sharing those insights! Teaching others and answering their questions is one of the best ways to learn and stay sharp.

Join the Discussion. Help a fellow learner on their journey.

Ask or answer a question about this exercise by clicking reply (reply) below!

Agree with a comment or answer? Like (like) to up-vote the contribution!

Need broader help or resources? Head here.

Looking for motivation to keep learning? Join our wider discussions.

Learn more about how to use this guide.

Found a bug? Report it!

Have a question about your account or billing? Reach out to our customer support team!

None of the above? Find out where to ask other questions here!

1 Like

Could someone pls explain me why in the previous exercise about median we used np.median() and now all in a sudden we have to use scipy.mode()??? Very confusing … thanks

Noticed that you have a comment that is probably referencing the “median” lesson rather than the “mode” lesson (part 3 of 4)…

Use numpy to calculate the median age of the top 100 authors

where it should probably be

Use scipy to calculate the mode age of the top 100 authors

Feel free to delete this comment when you get it fixed :wink:

I was interested myself so I went to look at the packages at https://docs.scipy.org/doc/ . And then I dug into scipy’s FAQs and found this : https://www.scipy.org/scipylib/faq.html#what-is-the-difference-between-numpy-and-scipy . Hopefully this helps!