Converting field(s) to & from CF-compliant `xarray.Dataset`
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- Dominant language
- Python
- Stars
- 150
- Forks
- 23
- Avg merge
- 1d 11h
- Merged PRs (30d)
- 2
Description
A common way to work with weather and climate datasets is of course the xarray library, so it would be nice to have a means to convert to and from an xarray.Dataset if it has sufficient and conformant-enough CF metadata and suitable structure, for which the xarray.decode_cf function may be able to assist on the xarray-side.
Ideally we can have a method for such a conversion and/or at least a recipe in the documentation showing how this can be done, for both a trivially-convertible case and for a case of a field and/or Dataset that needs some tweaks to get the right structure before the conversion can be made.
Note in #706 we considered and supported input of xarray arrays, so that helps towards this.
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.
Research direction
Start by reviewing issue #706 and the linked xarray Dataset, weather-and-climate, and decode_cf documentation. Determine the required CF metadata and structure for conversion in both directions, including a direct case and one needing structural tweaks; done means the conversion method or documented recipe covers both cases.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100