Fix error when running without the industry sector (#96)
Fixing that the code stops with an error if running without the industry sector, e.g. only including electricity and heat. When the industry sector is not included, balances_df.index.levels[0] does not include "process emissions". Using the XOR operator "^" does then add it instead of removing it when compared to the co2_carriers list. The XOR operator does only work as intended, i.e. excluding the three emission-related strings, when these strings are already in the original list. The proposed change fixes the issue.
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@ -177,7 +177,7 @@ def plot_balances():
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balances_df = pd.read_csv(snakemake.input.balances,index_col=list(range(3)),header=list(range(n_header)))
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balances = {i.replace(" ","_") : [i] for i in balances_df.index.levels[0]}
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balances["energy"] = balances_df.index.levels[0].symmetric_difference(co2_carriers)
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balances["energy"] = [i for i in balances_df.index.levels[0] if i not in co2_carriers]
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for k,v in balances.items():
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@ -401,4 +401,4 @@ if __name__ == "__main__":
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opts=sector_opts.split('-')
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for o in opts:
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if "cb" in o:
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plot_carbon_budget_distribution()
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plot_carbon_budget_distribution()
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