-
Notifications
You must be signed in to change notification settings - Fork 4
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.
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
feat: added Column.summarize_statistics() #715
feat: added Column.summarize_statistics() #715
Conversation
- Empthy Columns can't be created
Had a commit in this branch that was not suposed to be here |
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #715 +/- ##
=========================================
Coverage 100.00% 100.00%
=========================================
Files 66 66
Lines 4811 4814 +3
=========================================
+ Hits 4811 4814 +3 ☔ View full report in Codecov by Sentry. |
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
Very nice, I've just made some minor stylistic changes.
## [0.23.0](v0.22.1...v0.23.0) (2024-05-04) ### Features * add `Column.to_table` ([#705](#705)) ([36e4a7a](36e4a7a)), closes [#695](#695) * added Column.summarize_statistics() ([#715](#715)) ([71730a9](71730a9)), closes [#701](#701) * replace other values than NaN with imputer ([#707](#707)) ([4a059e0](4a059e0)), closes [#643](#643) ### Bug Fixes * use UTF-8 encoding when opening files ([#704](#704)) ([f8c27bc](f8c27bc))
🎉 This PR is included in version 0.23.0 🎉 The release is available on:
Your semantic-release bot 📦🚀 |
Closes #701
Summary of Changes
Added
summarize_statistics
to theColumn
class to quickly get an overview of relevant statistics.The Column is converted into a Table with one Column and the results from Table.summarize_statistics() are returned. This way, if someone adds a new feature to Table.summarize_statistics(), it also appears in Column.summarize_statistics().