PyPSA / linopy

Linear optimization with N-D labeled arrays in Python
https://linopy.readthedocs.io
MIT License
155 stars 43 forks source link

refine treatment of missing values #180

Closed FabianHofmann closed 9 months ago

FabianHofmann commented 9 months ago

closes #144

From release notes:

codecov[bot] commented 9 months ago

Codecov Report

Attention: 3 lines in your changes are missing coverage. Please review.

Comparison is base (cf62967) 87.59% compared to head (091933c) 87.70%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #180 +/- ## ========================================== + Coverage 87.59% 87.70% +0.10% ========================================== Files 15 15 Lines 3225 3244 +19 Branches 742 748 +6 ========================================== + Hits 2825 2845 +20 + Misses 290 288 -2 - Partials 110 111 +1 ``` | [Files](https://app.codecov.io/gh/PyPSA/linopy/pull/180?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PyPSA) | Coverage Δ | | |---|---|---| | [linopy/variables.py](https://app.codecov.io/gh/PyPSA/linopy/pull/180?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PyPSA#diff-bGlub3B5L3ZhcmlhYmxlcy5weQ==) | `90.88% <100.00%> (+0.15%)` | :arrow_up: | | [linopy/common.py](https://app.codecov.io/gh/PyPSA/linopy/pull/180?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PyPSA#diff-bGlub3B5L2NvbW1vbi5weQ==) | `91.25% <0.00%> (+0.41%)` | :arrow_up: | | [linopy/expressions.py](https://app.codecov.io/gh/PyPSA/linopy/pull/180?src=pr&el=tree&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=PyPSA#diff-bGlub3B5L2V4cHJlc3Npb25zLnB5) | `89.60% <88.88%> (+0.20%)` | :arrow_up: |

:umbrella: View full report in Codecov by Sentry.
:loudspeaker: Have feedback on the report? Share it here.