More on re-indexing
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- jupyter-notebook
- Domain
- data, documentation
Research direction
Start by reviewing the existing tutorial coverage for reindex, reindex_like, groupby, and groupby_bins, then examine the linked Stack Overflow example. Done would be practical guidance or examples for indexing and re-indexing with gappy or poorly gridded data, including whether these topics are already covered.
Written by the indexing model from the issue text.
Description
xarray has some pretty powerful, indexing, re-indexing, and binning capabilities. My knowledge of them all is pretty limited, but reindex, reindex_like, groupby and groupby_bins all seem like useful targets for operations that folks dealing with practical, happy gappy, poorly gridded data, could use some help with.
e.g. I couldn't figure this out on my own: https://stackoverflow.com/questions/73760046/replace-some-values-in-dataarray-based-on-list-of-indices/73790162#73790162
I appreciate that some of this is probably old-hat for pandas users, but some of us just skipped right to xarray ;-)
Thanks!
PS, apologies if this is covered in the tutorial and I haven't seen it.
- Dominant language
- Jupyter Notebook
- Stars
- 204
- Forks
- 121
- PR merge metrics
- No merged PRs in 30d
Contributor guide
First steps
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