pypsa-eur/environment.yaml

name: pypsa-eur
channels:
  - conda-forge
  - bioconda
dependencies:
  - python
  - pip

  #- pypsa>=0.14  # until pypsa/pypsa#102 closed
  - atlite

  # Dependencies of the workflow itself
  - xlrd
  - scikit-learn
  - pycountry
  - seaborn
  - snakemake-minimal
  - memory_profiler
  - yaml
  - pytables

  # Second order dependencies which should really be deps of atlite
  - xarray
  - netcdf4
  - bottleneck
  - toolz
  - dask
  - progressbar2

  # Include ipython so that one does not inadvertently drop out of the conda
  # environment by calling ipython
  - ipython

  # GIS dependencies have to come all from conda-forge
  - conda-forge::cartopy
  - conda-forge::fiona
  - conda-forge::pyproj<=1.9.6 # until cartopy release with proj>=6.2
  - conda-forge::pyshp
  - conda-forge::geopandas
  - conda-forge::rasterio
  - conda-forge::shapely
  - conda-forge::libgdal

  - pip:
    - vresutils>=0.3
    - git+https://github.com/PyPSA/pypsa.git#egg=pypsa  # until pypsa/pypsa#102 closed
    - git+https://github.com/PyPSA/glaes.git#egg=glaes
    - git+https://github.com/PyPSA/geokit.git#egg=geokit
    - cdsapi
    - powerplantmatching
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`

use pypsa master branch 2019-10-25 10:33:39 +00:00			`#- pypsa>=0.14 # until pypsa/pypsa#102 closed`
update conda environment files 2019-10-28 11:02:33 +00:00			`- atlite`
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`
add packages yaml and ppm for docs 2019-10-14 19:19:41 +00:00			`- yaml`
update conda environment files 2019-10-28 11:02:33 +00:00			`- pytables`
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`
revert to pyproj<=1.9.6 2019-10-28 14:08:53 +00:00			`- netcdf4`
Update environment.yaml to new versions 2019-02-01 17:09:55 +00:00			`- 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`
revert to pyproj<=1.9.6 2019-10-28 14:08:53 +00:00			`- conda-forge::pyproj<=1.9.6 # until cartopy release with proj>=6.2`
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::pyshp`
			`- conda-forge::geopandas`
			`- conda-forge::rasterio`
			`- conda-forge::shapely`
			`- conda-forge::libgdal`

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 conda environment files 2019-10-28 11:02:33 +00:00			`- git+https://github.com/PyPSA/pypsa.git#egg=pypsa # until pypsa/pypsa#102 closed`
update environment.yaml 2019-10-03 14:54:22 +00:00			`- git+https://github.com/PyPSA/glaes.git#egg=glaes`
Update environment.yaml to new versions 2019-02-01 17:09:55 +00:00			`- git+https://github.com/PyPSA/geokit.git#egg=geokit`
add packages yaml and ppm for docs 2019-10-14 19:19:41 +00:00			`- cdsapi`
			`- powerplantmatching`