Make an argument of pd.concat to a list
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@ -970,7 +970,7 @@ def sample_dE_costs_area(
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.mean()
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.set_index(pd.MultiIndex.from_product([[ct], cost_dE.index.levels[1]]))
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)
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cost_dE = pd.concat(cost_dE, averaged_data)
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cost_dE = pd.concat([cost_dE, averaged_data])
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# weights costs after construction index
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if construction_index:
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@ -999,12 +999,12 @@ def sample_dE_costs_area(
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)
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)
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)
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cost_dE = pd.concat(cost_dE, tot).unstack().stack()
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cost_dE = pd.concat([cost_dE, tot]).unstack().stack()
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summed_area = pd.DataFrame(area_tot.groupby("country").sum()).set_index(
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pd.MultiIndex.from_product([area_tot.index.unique(level="country"), ["tot"]])
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)
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area_tot = pd.concat(area_tot, summed_area).unstack().stack()
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area_tot = pd.concat([area_tot, summed_area]).unstack().stack()
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cost_per_saving = cost_dE["cost"] / (
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1 - cost_dE["dE"]
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