Reformat demand per bus into an xarray
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- Dominant language
- Python
- Stars
- 148
- Forks
- 55
- Avg merge
- 2d 11h
- Merged PRs (30d)
- 18
Description
Feature Request
PR #288 introduces sectorally explicit demand files (ie. res-elec, res-heat, ect...). This is outputted as separate csv files, due to me just being more comfortable with pandas than xarray to get the workflow running. This should get switched to xarray though.
Suggested Solution
I believe the dataset should have the coordinates: snapshot, bus, sector, end-use, and the variable will be the demand
Additional Info
No response
Contributor guide
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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 reading PR #288 and tracing where the sectorally explicit demand CSV files are produced. Identify the demand data workflow and determine how its outputs can be represented as an xarray dataset with snapshot, bus, sector, and end-use coordinates and demand as the variable. Done means the separate CSV output is replaced by that dataset representation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100