PyPSA
diff --git a/‎outputs/costs_2020.csv
+383-383 b/‎outputs/costs_2020.csv
+383-383
diff --git a/‎outputs/costs_2025.csv
+383-383 b/‎outputs/costs_2025.csv
+383-383
diff --git a/‎outputs/costs_2030.csv
+383-383 b/‎outputs/costs_2030.csv
+383-383
diff --git a/‎outputs/costs_2035.csv
+383-383 b/‎outputs/costs_2035.csv
+383-383
diff --git a/‎outputs/costs_2040.csv
+383-383 b/‎outputs/costs_2040.csv
+383-383
diff --git a/‎outputs/costs_2045.csv
+383-383 b/‎outputs/costs_2045.csv
+383-383
diff --git a/‎outputs/costs_2050.csv
+383-383 b/‎outputs/costs_2050.csv
+383-383
diff --git a/‎scripts/compile_cost_assumptions.py
+2 b/‎scripts/compile_cost_assumptions.py
+2
@@ -2358,6 +2358,8 @@ def prepare_inflation_rate(fn):
     data = add_SMR_data(data)
     # add solar rooftop costs by taking the mean of commercial and residential
     data = add_mean_solar_rooftop(data)
+    
+    data.index.names = ["technology", "parameter"]
     # %% (3) ------ add additional sources and save cost as csv ------------------
     # [RTD-target-multiindex-df]
     for year in years: