parser.add_argument("--gams_sysdir", dest="gams_sysdir", default=None, type=str)
parser.add_argument("--data_repo", dest="data_repo", default=None, type=str)
parser.add_argument("--output", dest="output", default=None, type=str)
parser.add_argument("--data_dir", dest="data_dir", default=None, type=str)
# parser.set_defaults(gams_sysdir="some path here")
# parser.set_defaults(data_repo="some path here")
# parser.set_defaults(data_dir="some path here")
args = parser.parse_args()
#
#
# get network data
gdx = gmsxfr.GdxContainer(
args.gams_sysdir, os.path.join(args.data_repo, "processed_werewolf_data.gdx")
)
gdx.rgdx(["lat", "lng", "map_aggr"])
lat = gdx.to_dict("lat")
lng = gdx.to_dict("lng")
map_aggr = gdx.to_dataframe("map_aggr")
gdx = gmsxfr.GdxContainer(
args.gams_sysdir, os.path.join(args.data_repo, "network_arcs.gdx")
)
gdx.rgdx("ij")
ij = gdx.to_dict("ij")
gdx = gmsxfr.GdxContainer(
type=str)
parser.add_argument("--data_repo",
dest="data_repo",
default=None,
type=str)
parser.add_argument("--output", dest="output", default=None, type=str)
# parser.set_defaults(gams_sysdir="some path here")
# parser.set_defaults(data_repo="some path here")
args = parser.parse_args()
#
#
# get model results
gdx = gmsxfr.GdxContainer(args.gams_sysdir,
os.path.join(args.data_repo, "solve_mode.gdx"))
gdx.rgdx(["x_title"])
x_title = gdx.to_dict("x_title")["text"]
gdx = gmsxfr.GdxContainer(
args.gams_sysdir, os.path.join(args.data_repo, "final_results.gdx"))
gdx.rgdx(["TotalCost", "ExpCost_ir", "ExpCost_r", "frac_r", "cntlreg"])
TotalCost = gdx.to_dict("TotalCost")
ExpCost_r = gdx.to_dataframe("ExpCost_r")
ExpCost_ir = gdx.to_dataframe("ExpCost_ir")
carbon = {
i: gdx.to_dict("frac_r")["elements"][i]
if gdx.to_dict("frac_r")["elements"][i] > np.finfo(float).tiny else 0
for i in gdx.to_dict("frac_r")["elements"]
parser.add_argument("--gams_sysdir",
dest="gams_sysdir",
default=None,
type=str)
parser.add_argument("--data_repo",
dest="data_repo",
default=None,
type=str)
# parser.set_defaults(gams_sysdir="some path here")
# parser.set_defaults(data_repo="some path here")
args = parser.parse_args()
gdx = gmsxfr.GdxContainer(
args.gams_sysdir,
os.path.join(args.data_repo, "processed_werewolf_data.gdx"))
gdx.rgdx(["i", "lat", "lng", "map_aggr"])
i = gdx.to_dataframe("i")
lat = gdx.to_dataframe("lat")
lng = gdx.to_dataframe("lng")
map_aggr = gdx.to_dataframe("map_aggr")
agg = i["elements"].set_index("regions").copy()
agg["lat"] = lat["elements"].set_index("regions")
agg["lng"] = lng["elements"].set_index("regions")
agg_pts = dict(zip(agg.index, list(zip(agg.lat, agg.lng))))