diff --git a/scripts/make_summary.py b/scripts/make_summary.py index fb13e91e..7223f4d5 100644 --- a/scripts/make_summary.py +++ b/scripts/make_summary.py @@ -521,9 +521,7 @@ def calculate_weighted_prices(n, label, weighted_prices): if not names.empty: load += ( - n.links_t.p0[names] - .groupby(n.links.loc[names, "bus0"], axis=1) - .sum() + n.links_t.p0[names].T.groupby(n.links.loc[names, "bus0"]).sum().T ) # Add H2 Store when charging @@ -563,11 +561,10 @@ def calculate_market_values(n, label, market_values): dispatch = ( n.generators_t.p[gens] - .groupby(n.generators.loc[gens, "bus"], axis=1) + .T.groupby(n.generators.loc[gens, "bus"]) .sum() - .reindex(columns=buses, fill_value=0.0) + .T.reindex(columns=buses, fill_value=0.0) ) - revenue = dispatch * n.buses_t.marginal_price[buses] market_values.at[tech, label] = revenue.sum().sum() / dispatch.sum().sum() @@ -586,9 +583,9 @@ def calculate_market_values(n, label, market_values): dispatch = ( n.links_t["p" + i][links] - .groupby(n.links.loc[links, "bus" + i], axis=1) + .T.groupby(n.links.loc[links, "bus" + i]) .sum() - .reindex(columns=buses, fill_value=0.0) + .T.reindex(columns=buses, fill_value=0.0) ) revenue = dispatch * n.buses_t.marginal_price[buses] diff --git a/scripts/plot_summary.py b/scripts/plot_summary.py index 67ac9b55..2a6c9f15 100644 --- a/scripts/plot_summary.py +++ b/scripts/plot_summary.py @@ -154,7 +154,7 @@ def plot_costs(): df = df.drop(to_drop) - logger.info(f"Total system cost of {round(df.sum()[0])} EUR billion per year") + logger.info(f"Total system cost of {round(df.sum().iloc[0])} EUR billion per year") new_index = preferred_order.intersection(df.index).append( df.index.difference(preferred_order) @@ -214,7 +214,7 @@ def plot_energy(): df = df.drop(to_drop) - logger.info(f"Total energy of {round(df.sum()[0])} TWh/a") + logger.info(f"Total energy of {round(df.sum().iloc[0])} TWh/a") if df.empty: fig, ax = plt.subplots(figsize=(12, 8)) @@ -304,7 +304,9 @@ def plot_balances(): df = df.drop(to_drop) - logger.debug(f"Total energy balance for {v} of {round(df.sum()[0],2)} {units}") + logger.debug( + f"Total energy balance for {v} of {round(df.sum().iloc[0],2)} {units}" + ) if df.empty: continue