fix plot bugs
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461ea66185
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f2ff8beae8
@ -41,6 +41,8 @@ def rename_techs(label):
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"ground heat pump",
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"ground heat pump",
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"resistive heater",
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"resistive heater",
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"Fischer-Tropsch",
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"Fischer-Tropsch",
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"land transport fuel cell",
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"land transport oil"
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]
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]
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rename_if_contains_dict = {
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rename_if_contains_dict = {
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@ -268,7 +270,6 @@ def plot_balances():
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i for i in balances_df.index.levels[0] if i not in co2_carriers
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i for i in balances_df.index.levels[0] if i not in co2_carriers
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]
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]
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fig, ax = plt.subplots(figsize=(12, 8))
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for k, v in balances.items():
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for k, v in balances.items():
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df = balances_df.loc[v]
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df = balances_df.loc[v]
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@ -280,7 +281,7 @@ def plot_balances():
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# remove trailing link ports
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# remove trailing link ports
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df.index = [
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df.index = [
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i[:-1]
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i[:-1]
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if ((i not in ["co2", "NH3"]) and (i[-1:] in ["0", "1", "2", "3"]))
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if ((i not in ["co2", "NH3", "H2"]) and (i[-1:] in ["0", "1", "2", "3"]))
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else i
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else i
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for i in df.index
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for i in df.index
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]
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]
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@ -314,6 +315,8 @@ def plot_balances():
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new_columns = df.columns.sort_values()
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new_columns = df.columns.sort_values()
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fig, ax = plt.subplots(figsize=(12, 8))
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df.loc[new_index, new_columns].T.plot(
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df.loc[new_index, new_columns].T.plot(
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kind="bar",
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kind="bar",
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ax=ax,
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ax=ax,
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@ -437,7 +440,7 @@ def historical_emissions(countries):
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return emissions
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return emissions
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def plot_carbon_budget_distribution(input_eurostat):
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def plot_carbon_budget_distribution(input_eurostat, input_eea):
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"""
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"""
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Plot historical carbon emissions in the EU and decarbonization path.
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Plot historical carbon emissions in the EU and decarbonization path.
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"""
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"""
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@ -452,6 +455,20 @@ def plot_carbon_budget_distribution(input_eurostat):
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plt.rcParams["xtick.labelsize"] = 20
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plt.rcParams["xtick.labelsize"] = 20
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plt.rcParams["ytick.labelsize"] = 20
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plt.rcParams["ytick.labelsize"] = 20
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path_cb = "results/" + snakemake.params.RDIR + "csvs/"
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countries = snakemake.config["countries"]
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emissions_scope = snakemake.config["energy"]["emissions"]
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# this only affects the estimation of CO2 emissions for BA, RS, AL, ME, MK
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report_year = snakemake.config["energy"]["eurostat_report_year"]
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e_1990 = co2_emissions_year(
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countries, input_eurostat, input_eea, opts, emissions_scope,
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report_year, year=1990
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)
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CO2_CAP = pd.read_csv(path_cb + "carbon_budget_distribution.csv", index_col=0)
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plt.figure(figsize=(10, 7))
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plt.figure(figsize=(10, 7))
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gs1 = gridspec.GridSpec(1, 1)
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gs1 = gridspec.GridSpec(1, 1)
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ax1 = plt.subplot(gs1[0, 0])
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ax1 = plt.subplot(gs1[0, 0])
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@ -459,10 +476,6 @@ def plot_carbon_budget_distribution(input_eurostat):
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ax1.set_ylim([0, 5])
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ax1.set_ylim([0, 5])
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ax1.set_xlim([1990, snakemake.config["scenario"]["planning_horizons"][-1] + 1])
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ax1.set_xlim([1990, snakemake.config["scenario"]["planning_horizons"][-1] + 1])
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path_cb = "results/" + snakemake.params.RDIR + "/csvs/"
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countries = snakemake.config["countries"]
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e_1990 = co2_emissions_year(countries, input_eurostat, opts, year=1990)
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CO2_CAP = pd.read_csv(path_cb + "carbon_budget_distribution.csv", index_col=0)
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ax1.plot(e_1990 * CO2_CAP[o], linewidth=3, color="dodgerblue", label=None)
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ax1.plot(e_1990 * CO2_CAP[o], linewidth=3, color="dodgerblue", label=None)
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@ -540,7 +553,7 @@ def plot_carbon_budget_distribution(input_eurostat):
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path_cb_plot = "results/" + snakemake.params.RDIR + "/graphs/"
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path_cb_plot = "results/" + snakemake.params.RDIR + "/graphs/"
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plt.savefig(path_cb_plot + "carbon_budget_plot.pdf", dpi=300)
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plt.savefig(path_cb_plot + "carbon_budget_plot.pdf", dpi=300)
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#%%
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if __name__ == "__main__":
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if __name__ == "__main__":
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if "snakemake" not in globals():
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if "snakemake" not in globals():
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from _helpers import mock_snakemake
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from _helpers import mock_snakemake
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@ -561,4 +574,5 @@ if __name__ == "__main__":
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opts = sector_opts.split("-")
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opts = sector_opts.split("-")
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for o in opts:
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for o in opts:
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if "cb" in o:
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if "cb" in o:
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plot_carbon_budget_distribution(snakemake.input.eurostat)
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plot_carbon_budget_distribution(snakemake.input.eurostat,
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snakemake.input.co2)
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