From 7ca4f04611c23e63d49cc42505df8af4cdbadaed Mon Sep 17 00:00:00 2001 From: Fabian Neumann Date: Mon, 9 Aug 2021 17:53:14 +0200 Subject: [PATCH] biomass_transport: reduce output files --- Snakefile | 2 -- scripts/build_biomass_transport_costs.py | 3 --- 2 files changed, 5 deletions(-) diff --git a/Snakefile b/Snakefile index 1ef55c86..d747b8fe 100644 --- a/Snakefile +++ b/Snakefile @@ -188,8 +188,6 @@ if config["sector"]["biomass_transport"]: input: transport_cost_data=HTTP.remote("publications.jrc.ec.europa.eu/repository/bitstream/JRC98626/biomass potentials in europe_web rev.pdf", keep_local=True) output: - supply_chain1="resources/biomass_transport_costs_supply_chain1.csv", - supply_chain2="resources/biomass_transport_costs_supply_chain2.csv", biomass_transport_costs="resources/biomass_transport_costs.csv", threads: 1 resources: mem_mb=1000 diff --git a/scripts/build_biomass_transport_costs.py b/scripts/build_biomass_transport_costs.py index dc1137ca..972ff9f8 100644 --- a/scripts/build_biomass_transport_costs.py +++ b/scripts/build_biomass_transport_costs.py @@ -63,9 +63,6 @@ def build_biomass_transport_costs(): sc1 = get_cost_per_tkm(146, countries) sc2 = get_cost_per_tkm(147, countries) - sc1.to_csv(snakemake.output.supply_chain1) - sc2.to_csv(snakemake.output.supply_chain2) - # take mean of both supply chains to_concat = [sc1["EUR/km/ton"], sc2["EUR/km/ton"]] transport_costs = pd.concat(to_concat, axis=1).mean(axis=1)