Open-EO / Open-EO/openeo-python-client
Pretty rendering of key data cube properties
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 217
- Forks
- 56
- Avg merge
- 1d 22h
- Merged PRs (30d)
- 2
Description
XArray has a feature to nicely show dataccube layout when used in jupyter:
The python client can do something similar.
In specific cases, it may be needed to ask the backend to determine dimensionality (that may need to be implemented via an output format).
The use case here is to simplify debugging, and help users to better understand the datacube concepts.
Contributor guide
No contributing guide indexed for this repository
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 locating the Python client's existing Jupyter/display representation and the code that exposes datacube properties. Investigate how the backend can provide dimensionality, including whether an output format is needed, then define what a useful rendered layout should show and verify it in Jupyter.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter, python
- Domain
- backend-api-design, data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100