Reference to a multiindex level by number instead of name
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@ -990,19 +990,22 @@ def sample_dE_costs_area(
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sec_w = area_tot.div(area_tot.groupby(level=0).transform('sum'))
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sec_w = area_tot.div(area_tot.groupby(level=0).transform('sum'))
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# get the total cost-energy-savings weight by sector area
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# get the total cost-energy-savings weight by sector area
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tot = (
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tot = (
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cost_dE.mul(sec_w, axis=0)
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# sec_w has columns "estimated" and "value"
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.groupby(level="country_code")
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cost_dE.mul(sec_w.value, axis=0)
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# for some reasons names of the levels were lost somewhere
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#.groupby(level="country_code")
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.groupby(level=0)
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.sum()
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.sum()
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.set_index(
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.set_index(
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pd.MultiIndex.from_product(
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pd.MultiIndex.from_product(
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[cost_dE.index.unique(level="country_code"), ["tot"]]
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[cost_dE.index.unique(level=0), ["tot"]]
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)
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)
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)
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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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summed_area = pd.DataFrame(area_tot.groupby(level=0).sum()).set_index(
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pd.MultiIndex.from_product([area_tot.index.unique(level="country"), ["tot"]])
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pd.MultiIndex.from_product([area_tot.index.unique(level=0), ["tot"]])
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)
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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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