address groupby(axis=...) deprecation

PyPSA · Jul 29, 2024 · cb48d53 · cb48d53
1 parent f5fe0d0
commit cb48d53
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Showing 2 changed files with 2 additions and 2 deletions.
diff --git a/scripts/build_retro_cost.py b/scripts/build_retro_cost.py
@@ -890,7 +890,7 @@ def calculate_gain_utilisation_factor(heat_transfer_perm2, Q_ht, Q_gain):
     Calculates gain utilisation factor nu.
     """
     # time constant of the building tau [h] = c_m [Wh/(m^2K)] * 1 /(H_tr_e+H_tb*H_ve) [m^2 K /W]
-    tau = c_m / heat_transfer_perm2.T.groupby(axis=1).sum().T
+    tau = c_m / heat_transfer_perm2.groupby().sum()
     alpha = alpha_H_0 + (tau / tau_H_0)
     # heat balance ratio
     gamma = (1 / Q_ht).mul(Q_gain.sum(axis=1), axis=0)

diff --git a/scripts/plot_validation_electricity_production.py b/scripts/plot_validation_electricity_production.py
@@ -70,7 +70,7 @@
     optimized = optimized[["Generator", "StorageUnit"]].droplevel(0, axis=1)
     optimized = optimized.rename(columns=n.buses.country, level=0)
     optimized = optimized.rename(columns=carrier_groups, level=1)
-    optimized = optimized.groupby(axis=1, level=[0, 1]).sum()
+    optimized = optimized.T.groupby(level=[0, 1]).sum().T
 
     data = pd.concat([historic, optimized], keys=["Historic", "Optimized"], axis=1)
     data.columns.names = ["Kind", "Country", "Carrier"]