pandas indexing
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- pandas, python
- Domain
- data, documentation
Research direction
Review the current pandas indexing lesson and compare the emphasis on iloc row indexing with column-name selection and row filtering. Decide whether boolean-mask filtering, query, or both should be introduced, then revise the lesson so the chosen scope and balance are clear.
Written by the indexing model from the issue text.
Description
iloc indexing by rows gets a little in the weeds, in general, indexing by column name is most used and filtering rows by criteria is more common, the amount of time spend on row indexing is a bit much
also is row filtering by boolean mask or query a better way of introducing row filtering? or both?
- Dominant language
- No language data
- Stars
- 37
- Forks
- 70
- Avg merge
- 1m
- Merged PRs (30d)
- 1
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
More from datacarpentry/python-socialsci
-
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
-
Difficulty 1/5 Under an hour Newbie friendliness 62/100
-
Difficulty 5/5 Over a week Newbie friendliness 35/100
-
Difficulty 1/5 Under an hour Newbie friendliness 55/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 50/100
All issues in datacarpentry/python-socialsci
Similar issues
-
Difficulty 2/5 1-3 hours Newbie friendliness 86/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 68/100
cisagov/cyhy-reports#149 · 3 comments ·
-
Difficulty 2/5 1-3 hours Newbie friendliness 88/100
-
Difficulty 2/5 1-3 hours Newbie friendliness 78/100
-
Difficulty 1/5 Under an hour Newbie friendliness 90/100
open-compass/VLMEvalKit#1698 ·