set type to float

PyPSA · Feb 15, 2024 · ab6b487 · ab6b487
1 parent c8c711d
commit ab6b487
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Showing 8 changed files with 2,150 additions and 2,150 deletions.
diff --git a/outputs/costs_2020.csv b/outputs/costs_2020.csv
diff --git a/outputs/costs_2025.csv b/outputs/costs_2025.csv
diff --git a/outputs/costs_2030.csv b/outputs/costs_2030.csv
diff --git a/outputs/costs_2035.csv b/outputs/costs_2035.csv
diff --git a/outputs/costs_2040.csv b/outputs/costs_2040.csv
diff --git a/outputs/costs_2045.csv b/outputs/costs_2045.csv
diff --git a/outputs/costs_2050.csv b/outputs/costs_2050.csv
diff --git a/scripts/compile_cost_assumptions.py b/scripts/compile_cost_assumptions.py
@@ -656,7 +656,7 @@ def adjust_for_inflation(costs, techs, ref_year, col):
         Dataframe containing the costs data with multiindex on technology and one index key 'investment'.
     """
 
-    inflation = (1 + snakemake.config['rate_inflation'])**(ref_year - snakemake.config['eur_year'])
+    inflation = (1 + snakemake.config['rate_inflation'])**(ref_year - snakemake.config['eur_year']).astype(float)
     paras = ["investment", "VOM", "fuel"]
     filter_i = costs.index.get_level_values(0).isin(techs) & costs.index.get_level_values(1).isin(paras)