Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Decide whether to use pandas categorical data types or stick with objects #120

Open
joelostblom opened this issue Jan 9, 2023 · 0 comments
Open

Decide whether to use pandas categorical data types or stick with objects #120

joelostblom opened this issue Jan 9, 2023 · 0 comments
Labels
enhancement New feature or request needs-investigation Further information is requested

Comments

@joelostblom
Copy link
Collaborator

The main benefit of the categorical data type over objects is in ordering and size comparisons. It is a best practice but it is unclear how much we will actually leverage any of the benefits in dsci100 or if it is just one more thing to learn. The next version of altair will likely inherent pandas categorical ordering when present, but I don't think anything in scikit learn respects it.
@joelostblom joelostblom mentioned this issue Jan 9, 2023
Merged
@trevorcampbell trevorcampbell added enhancement New feature or request needs-investigation Further information is requested labels Jan 13, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
enhancement New feature or request needs-investigation Further information is requested
Projects
None yet
Milestone
No milestone
Development

No branches or pull requests
2 participants
@joelostblom @trevorcampbell