convert ipynb to py

This commit is contained in:
Fabian Neumann 2023-03-31 10:43:47 +02:00
parent 36fbc53289
commit eddde8fb3a
3 changed files with 129 additions and 156 deletions

View File

@ -136,8 +136,8 @@ rule determine_availability_matrix_MD_UA:
ATLITE_NPROCESSES
resources:
mem_mb=ATLITE_NPROCESSES * 5000
notebook:
"scripts/determine_availability_matrix_MD_UA.py.ipynb"
script:
"scripts/determine_availability_matrix_MD_UA.py"
rule retrieve_load_data:
input:

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@ -0,0 +1,127 @@
#!/usr/bin/env python
# coding: utf-8
# In[ ]:
import progressbar as pgb
import geopandas as gpd
import xarray as xr
import numpy as np
import functools
import atlite
import logging
import time
import matplotlib.pyplot as plt
from _helpers import mock_snakemake
from _helpers import configure_logging
logger = logging.getLogger(__name__)
if __name__ == "__main__":
if "snakemake" not in globals():
from _helpers import mock_snakemake
snakemake = mock_snakemake(
"determine_availability_matrix_MD_UA", technology="solar"
)
configure_logging(snakemake)
pgb.streams.wrap_stderr()
nprocesses = snakemake.config["atlite"].get("nprocesses")
noprogress = not snakemake.config["atlite"].get("show_progress", True)
config = snakemake.config["renewable"][snakemake.wildcards.technology]
cutout = atlite.Cutout(snakemake.input["cutout"])
regions = (
gpd.read_file(snakemake.input.regions).set_index("name").rename_axis("bus")
)
buses = regions.index
excluder = atlite.ExclusionContainer(crs=3035, res=100)
corine = config.get("corine", {})
if "grid_codes" in corine:
# Land cover codes to emulate CORINE results
if snakemake.wildcards.technology == "solar":
codes = [20, 30, 40, 50, 60, 90, 100]
elif snakemake.wildcards.technology == "onwind":
codes = [
20,
30,
40,
60,
100,
111,
112,
113,
114,
115,
116,
121,
122,
123,
124,
125,
126,
]
elif snakemake.wildcards.technology == "offshore-ac":
codes = [80, 200]
elif snakemake.wildcards.technology == "offshore-dc":
codes = [80, 200]
else:
assert False, "technology not supported"
excluder.add_raster(
snakemake.input.copernicus, codes=codes, invert=True, crs="EPSG:4326"
)
if "distance" in corine and corine.get("distance", 0.0) > 0.0:
# Land cover codes to emulate CORINE results
if snakemake.wildcards.technology == "onwind":
codes = [50]
else:
assert False, "technology not supported"
buffer = corine["distance"]
excluder.add_raster(
snakemake.input.copernicus, codes=codes, buffer=buffer, crs="EPSG:4326"
)
if "max_depth" in config:
# lambda not supported for atlite + multiprocessing
# use named function np.greater with partially frozen argument instead
# and exclude areas where: -max_depth > grid cell depth
func = functools.partial(np.greater, -config["max_depth"])
excluder.add_raster(snakemake.input.gebco, codes=func, crs=4236, nodata=-1000)
if "min_shore_distance" in config:
buffer = config["min_shore_distance"]
excluder.add_geometry(snakemake.input.country_shapes, buffer=buffer)
if "max_shore_distance" in config:
buffer = config["max_shore_distance"]
excluder.add_geometry(
snakemake.input.country_shapes, buffer=buffer, invert=True
)
kwargs = dict(nprocesses=nprocesses, disable_progressbar=noprogress)
if noprogress:
logger.info("Calculate landuse availabilities...")
start = time.time()
availability = cutout.availabilitymatrix(regions, excluder, **kwargs)
duration = time.time() - start
logger.info(f"Completed availability calculation ({duration:2.2f}s)")
else:
availability = cutout.availabilitymatrix(regions, excluder, **kwargs)
# Limit results only to buses for UA and MD
buses = regions.loc[regions["country"].isin(["UA", "MD"])].index.values
availability = availability.sel(bus=buses)
# Save and plot for verification
availability.to_netcdf(snakemake.output["availability_matrix"])
# availability.sum(dim="bus").plot()
# plt.title(technology)
# plt.show()

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@ -1,154 +0,0 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "1f7daec4",
"metadata": {},
"outputs": [],
"source": [
"import progressbar as pgb\n",
"import geopandas as gpd\n",
"import xarray as xr\n",
"import numpy as np\n",
"import functools\n",
"import atlite\n",
"import logging\n",
"import time\n",
"import matplotlib.pyplot as plt\n",
"from _helpers import mock_snakemake\n",
"\n",
"from _helpers import configure_logging\n",
"\n",
"logger = logging.getLogger(__name__)\n",
"\n",
"if __name__ == \"__main__\":\n",
" if \"snakemake\" not in globals():\n",
" from _helpers import mock_snakemake\n",
"\n",
" snakemake = mock_snakemake(\n",
" \"determine_availability_matrix_MD_UA\", technology=\"solar\"\n",
" )\n",
" configure_logging(snakemake)\n",
" pgb.streams.wrap_stderr()\n",
"\n",
" nprocesses = snakemake.config[\"atlite\"].get(\"nprocesses\")\n",
" noprogress = not snakemake.config[\"atlite\"].get(\"show_progress\", True)\n",
" config = snakemake.config[\"renewable\"][snakemake.wildcards.technology]\n",
"\n",
" cutout = atlite.Cutout(snakemake.input[\"cutout\"])\n",
" regions = (\n",
" gpd.read_file(snakemake.input.regions).set_index(\"name\").rename_axis(\"bus\")\n",
" )\n",
" buses = regions.index\n",
"\n",
" excluder = atlite.ExclusionContainer(crs=3035, res=100)\n",
"\n",
" corine = config.get(\"corine\", {})\n",
" if \"grid_codes\" in corine:\n",
" # Land cover codes to emulate CORINE results\n",
" if snakemake.wildcards.technology == \"solar\":\n",
" codes = [20, 30, 40, 50, 60, 90, 100]\n",
" elif snakemake.wildcards.technology == \"onwind\":\n",
" codes = [\n",
" 20,\n",
" 30,\n",
" 40,\n",
" 60,\n",
" 100,\n",
" 111,\n",
" 112,\n",
" 113,\n",
" 114,\n",
" 115,\n",
" 116,\n",
" 121,\n",
" 122,\n",
" 123,\n",
" 124,\n",
" 125,\n",
" 126,\n",
" ]\n",
" elif snakemake.wildcards.technology == \"offshore-ac\":\n",
" codes = [80, 200]\n",
" elif snakemake.wildcards.technology == \"offshore-dc\":\n",
" codes = [80, 200]\n",
" else:\n",
" assert False, \"technology not supported\"\n",
"\n",
" excluder.add_raster(\n",
" snakemake.input.copernicus, codes=codes, invert=True, crs=\"EPSG:4326\"\n",
" )\n",
" if \"distance\" in corine and corine.get(\"distance\", 0.0) > 0.0:\n",
" # Land cover codes to emulate CORINE results\n",
" if snakemake.wildcards.technology == \"onwind\":\n",
" codes = [50]\n",
" else:\n",
" assert False, \"technology not supported\"\n",
"\n",
" buffer = corine[\"distance\"]\n",
" excluder.add_raster(\n",
" snakemake.input.copernicus, codes=codes, buffer=buffer, crs=\"EPSG:4326\"\n",
" )\n",
"\n",
" if \"max_depth\" in config:\n",
" # lambda not supported for atlite + multiprocessing\n",
" # use named function np.greater with partially frozen argument instead\n",
" # and exclude areas where: -max_depth > grid cell depth\n",
" func = functools.partial(np.greater, -config[\"max_depth\"])\n",
" excluder.add_raster(snakemake.input.gebco, codes=func, crs=4236, nodata=-1000)\n",
"\n",
" if \"min_shore_distance\" in config:\n",
" buffer = config[\"min_shore_distance\"]\n",
" excluder.add_geometry(snakemake.input.country_shapes, buffer=buffer)\n",
"\n",
" if \"max_shore_distance\" in config:\n",
" buffer = config[\"max_shore_distance\"]\n",
" excluder.add_geometry(\n",
" snakemake.input.country_shapes, buffer=buffer, invert=True\n",
" )\n",
"\n",
" kwargs = dict(nprocesses=nprocesses, disable_progressbar=noprogress)\n",
" if noprogress:\n",
" logger.info(\"Calculate landuse availabilities...\")\n",
" start = time.time()\n",
" availability = cutout.availabilitymatrix(regions, excluder, **kwargs)\n",
" duration = time.time() - start\n",
" logger.info(f\"Completed availability calculation ({duration:2.2f}s)\")\n",
" else:\n",
" availability = cutout.availabilitymatrix(regions, excluder, **kwargs)\n",
"\n",
" # Limit results only to buses for UA and MD\n",
" buses = regions.loc[regions[\"country\"].isin([\"UA\", \"MD\"])].index.values\n",
" availability = availability.sel(bus=buses)\n",
"\n",
" # Save and plot for verification\n",
" availability.to_netcdf(snakemake.output[\"availability_matrix\"])\n",
" # availability.sum(dim=\"bus\").plot()\n",
" # plt.title(technology)\n",
" # plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "",
"language": "python",
"name": ""
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
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