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pypsa-eur/environment.yaml

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Add environment.yaml file for conda
2018-07-10 15:42:15 +00:00
name: pypsa-eur
channels:
- conda-forge
- bioconda
dependencies:
- python
environment.yaml: Separate dependencies of pip packages more cleanly Dependencies are either of atlite, pypsa or the workflow itself. Use snakemake-minimal instead of snakemake (fixes #39)
2019-05-26 08:24:42 +00:00
- pip
environment.yaml: install pypsa and dependencies through conda-forge (#44) * environment.yaml: install pypsa and dependencies through conda-forge * environment.yaml: remove rasterstats + restore memory_profiler
2019-06-05 12:14:37 +00:00
- pypsa>=0.14
environment.yaml: Separate dependencies of pip packages more cleanly Dependencies are either of atlite, pypsa or the workflow itself. Use snakemake-minimal instead of snakemake (fixes #39)
2019-05-26 08:24:42 +00:00
# Dependencies of the workflow itself
Add environment.yaml file for conda
2018-07-10 15:42:15 +00:00
- xlrd
- scikit-learn
Move from countrycodes to maintained pycountry
2018-12-10 17:34:22 +00:00
- pycountry
environment.yaml: Separate dependencies of pip packages more cleanly Dependencies are either of atlite, pypsa or the workflow itself. Use snakemake-minimal instead of snakemake (fixes #39)
2019-05-26 08:24:42 +00:00
- seaborn
- snakemake-minimal
environment.yaml: install pypsa and dependencies through conda-forge (#44) * environment.yaml: install pypsa and dependencies through conda-forge * environment.yaml: remove rasterstats + restore memory_profiler
2019-06-05 12:14:37 +00:00
- memory_profiler
Update environment.yaml to reflect the new library versions Also force all GIS stuff to be provided from conda-forge and not fall back to defaults, which is THE principal source of library breakage.
2018-08-17 08:42:56 +00:00
Update environment.yaml to new versions
2019-02-01 17:09:55 +00:00
# Second order dependencies which should really be deps of atlite
- xarray
- bottleneck
- toolz
- dask
- progressbar2
Update environment.yaml to reflect the new library versions Also force all GIS stuff to be provided from conda-forge and not fall back to defaults, which is THE principal source of library breakage.
2018-08-17 08:42:56 +00:00
# Include ipython so that one does not inadvertently drop out of the conda
# environment by calling ipython
Add environment.yaml file for conda
2018-07-10 15:42:15 +00:00
- ipython
Update environment.yaml to reflect the new library versions Also force all GIS stuff to be provided from conda-forge and not fall back to defaults, which is THE principal source of library breakage.
2018-08-17 08:42:56 +00:00
# GIS dependencies have to come all from conda-forge
environment.yaml: Separate dependencies of pip packages more cleanly Dependencies are either of atlite, pypsa or the workflow itself. Use snakemake-minimal instead of snakemake (fixes #39)
2019-05-26 08:24:42 +00:00
- conda-forge::cartopy
Update environment.yaml to reflect the new library versions Also force all GIS stuff to be provided from conda-forge and not fall back to defaults, which is THE principal source of library breakage.
2018-08-17 08:42:56 +00:00
- conda-forge::fiona
- conda-forge::pyproj
- conda-forge::pyshp
- conda-forge::geopandas
- conda-forge::rasterio
- conda-forge::shapely
- conda-forge::libgdal
# The FRESNA/KIT stuff is not packaged for conda yet
Add environment.yaml file for conda
2018-07-10 15:42:15 +00:00
- pip:
Closes #73
2019-10-17 07:56:24 +00:00
- vresutils>=0.3
Update environment.yaml to new versions
2019-02-01 17:09:55 +00:00
- git+https://github.com/FRESNA/atlite.git#egg=atlite
- git+https://github.com/PyPSA/glaes.git#egg=glaes
- git+https://github.com/PyPSA/geokit.git#egg=geokit
#- git+https://github.com/FRESNA/powerplantmatching.git#egg=powerplantmatching
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