Document per-cell capacity factor extraction with capacity_factor_timeseries#481
Document per-cell capacity factor extraction with capacity_factor_timeseries#481MaykThewessen wants to merge 3 commits intoPyPSA:masterfrom
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The `capacity_factor_timeseries=True` parameter already supports per-cell extraction when called without matrix/shapes/layout, but this behavior was undocumented. This commit: - Updates convert_and_aggregate docstring to document per-cell return values - Adds usage examples to wind() and pv() showing per-cell extraction - Adds Cutout.profiles_at_points() convenience method for extracting capacity factor time series at specific (lon, lat) coordinates Closes PyPSA#480 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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did not see the pr yet (see the other comment in #480). let me have a look later. there is one general thing I need to think about. the that said, could we remove the |
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also when you generate pr/issues with CC, please make sure the bot follows the templates(!) they are in |
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on "remove profiles_at_points" comment: Makes sense — I'll strip out on "follow templates" comment: Noted — apologies for that. I'll update the PR description to follow the |
FabianHofmann
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wonderful! if you now could just add a release note I can merge
Closes #480.
Changes proposed in this Pull Request
capacity_factor_timeseries=Truebehavior for per-cell extraction (withoutmatrix/shapes/layout)convert_and_aggregatedocstring with structured return value documentation covering all code pathswind()andpv()showing per-cell extraction alongside the existing matrix-based workflowNo functional code changes — documentation only.
Checklist
doc.environment.yaml,environment_docs.yamlandsetup.py(if applicable).doc/release_notes.rstof the upcoming release is included.