Merge pull request #474 from PyPSA/rioxarray-to-envs

importing rioxarray instead of xarray to open rasterio file

envs/environment.fixed.yaml

@@ -287,11 +287,14 @@ dependencies:
 - qt-main=5.15.8
 - rasterio=1.3.4
 - readline=8.1.2
-- requests=2.28.2
+- requests=2.28.1
-- reretry=0.11.8
+- retry=0.9.2
-- rtree=1.0.1
+- rich=12.5.1
-- scikit-learn=1.2.1
+- rioxarray=0.13.3
-- scipy=1.10.0
+- rtree=1.0.0
+- s2n=1.0.10
+- scikit-learn=1.1.1
+- scipy=1.8.1
 - scotch=6.0.9
 - seaborn=0.12.2
 - seaborn-base=0.12.2

envs/environment.yaml

@@ -29,6 +29,7 @@ dependencies:
 - pandas>=1.4
 - geopandas>=0.11.0
 - xarray
+- rioxarray
 - netcdf4
 - networkx
 - scipy

rules/build_electricity.smk

@@ -172,7 +172,7 @@ rule build_ship_raster:
             ],
         ),
     output:
-        RESOURCES + "shipdensity_raster.nc",
+        RESOURCES + "shipdensity_raster.tif",
     log:
         LOGS + "build_ship_raster.log",
     resources:
@@ -202,7 +202,7 @@ rule build_renewable_profiles:
             )
         ),
         ship_density=lambda w: (
-            RESOURCES + "shipdensity_raster.nc"
+            RESOURCES + "shipdensity_raster.tif"
             if "ship_threshold" in config["renewable"][w.technology].keys()
             else []
         ),

scripts/build_biomass_potentials.py

@@ -197,7 +197,7 @@ def convert_nuts2_to_regions(bio_nuts2, regions):
     )
     overlay[adjust_cols] = overlay[adjust_cols].multiply(overlay["share"], axis=0)
 
-    bio_regions = overlay.groupby("name").sum()
+    bio_regions = overlay.dissolve("name", aggfunc="sum")
 
     bio_regions.drop(["area_nuts2", "share"], axis=1, inplace=True)
 

scripts/build_ship_raster.py

@@ -46,7 +46,7 @@ import logging
 import os
 import zipfile
 
-import xarray as xr
+import rioxarray
 from _helpers import configure_logging
 from build_natura_raster import determine_cutout_xXyY
 
@@ -64,10 +64,10 @@ if __name__ == "__main__":
 
     with zipfile.ZipFile(snakemake.input.ship_density) as zip_f:
         zip_f.extract("shipdensity_global.tif")
-        with xr.open_rasterio("shipdensity_global.tif") as ship_density:
+        with rioxarray.open_rasterio("shipdensity_global.tif") as ship_density:
             ship_density = ship_density.drop(["band"]).sel(
                 x=slice(min(xs), max(Xs)), y=slice(max(Ys), min(ys))
             )
-            ship_density.to_netcdf(snakemake.output[0])
+            ship_density.rio.to_raster(snakemake.output[0])
 
     os.remove("shipdensity_global.tif")