energy_totals: only fix 'BA' if in list of countries
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@ -378,12 +378,12 @@ def build_energy_totals():
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clean_df.loc[missing,"total aviation passenger"] = clean_df.loc[missing,["total domestic aviation passenger","total international aviation passenger"]].sum(axis=1)
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clean_df.loc[missing,"total aviation freight"] = clean_df.loc[missing,["total domestic aviation freight","total international aviation freight"]].sum(axis=1)
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if "BA" in clean_df.index:
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#fix missing data for BA (services and road energy data)
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missing = (clean_df.loc["BA"] == 0.)
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#fix missing data for BA (services and road energy data)
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missing = (clean_df.loc["BA"] == 0.)
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#add back in proportional to RS with ratio of total residential demand
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clean_df.loc["BA",missing] = clean_df.loc["BA","total residential"]/clean_df.loc["RS","total residential"]*clean_df.loc["RS",missing]
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#add back in proportional to RS with ratio of total residential demand
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clean_df.loc["BA",missing] = clean_df.loc["BA","total residential"]/clean_df.loc["RS","total residential"]*clean_df.loc["RS",missing]
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clean_df.to_csv(snakemake.output.energy_name)
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