Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

🐛 fix key_error in validation plots #878

Merged
merged 2 commits into from
Jan 18, 2024
Merged

🐛 fix key_error in validation plots #878

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
7c23ef0
:bug: fix key_error in validation plots
Tomkourou Jan 18, 2024
4d74be9
:memo: add release notes for PR.
Tomkourou Jan 18, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 2 additions & 0 deletions doc/release_notes.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,8 @@ Release Notes
Upcoming Release
================

* Bugfix: Correct technology keys for the electricity production plotting to work out the box.

* New configuration option ``everywhere_powerplants`` to build conventional powerplants everywhere, irrespective of existing powerplants locations, in the network (https://github.com/PyPSA/pypsa-eur/pull/850).

* Remove option for wave energy as technology data is not maintained.
Expand Down
6 changes: 6 additions & 0 deletions scripts/plot_validation_electricity_production.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -45,6 +45,12 @@
header=[0, 1],
parse_dates=True,
)
subset_technologies = ["Geothermal", "Nuclear", "Biomass", "Lignite", "Oil", "Coal"]
lowercase_technologies = [
technology.lower() if technology in subset_technologies else technology
for technology in historic.columns.levels[1]
]
historic.columns = historic.columns.set_levels(lowercase_technologies, level=1)

colors = n.carriers.set_index("nice_name").color.where(
lambda s: s != "", "lightgrey"
Expand Down