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include dependence of the number of header lines in csv files based on if overnigh or mypic option is selected

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martavp 2020-07-07 18:46:12 +02:00
parent cf3c45321e
commit 8c53506897
1 changed files with 13 additions and 8 deletions
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scripts/plot_summary.py Normal file → Executable file
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@ -62,7 +62,7 @@ preferred_order = pd.Index(["transmission lines","hydroelectricity","hydro reser
def plot_costs(): def plot_costs():
cost_df = pd.read_csv(snakemake.input.costs,index_col=list(range(3)),header=[0,1,2]) cost_df = pd.read_csv(snakemake.input.costs,index_col=list(range(3)),header=list(range(n_header)))
df = cost_df.groupby(cost_df.index.get_level_values(2)).sum() df = cost_df.groupby(cost_df.index.get_level_values(2)).sum()
@ -115,7 +115,7 @@ def plot_costs():
def plot_energy(): def plot_energy():
energy_df = pd.read_csv(snakemake.input.energy,index_col=list(range(2)),header=[0,1,2]) energy_df = pd.read_csv(snakemake.input.energy,index_col=list(range(2)),header=list(range(n_header)))
df = energy_df.groupby(energy_df.index.get_level_values(1)).sum() df = energy_df.groupby(energy_df.index.get_level_values(1)).sum()
@ -139,7 +139,7 @@ def plot_energy():
new_index = (preferred_order&df.index).append(df.index.difference(preferred_order)) new_index = (preferred_order&df.index).append(df.index.difference(preferred_order))
new_columns = df.columns.sort_values() new_columns = df.columns.sort_values()
#new_columns = df.sum().sort_values().index
fig, ax = plt.subplots() fig, ax = plt.subplots()
fig.set_size_inches((12,8)) fig.set_size_inches((12,8))
@ -174,7 +174,7 @@ def plot_balances():
co2_carriers = ["co2","co2 stored","process emissions"] co2_carriers = ["co2","co2 stored","process emissions"]
balances_df = pd.read_csv(snakemake.input.balances,index_col=list(range(3)),header=[0,1,2]) balances_df = pd.read_csv(snakemake.input.balances,index_col=list(range(3)),header=list(range(n_header)))
balances = {i.replace(" ","_") : [i] for i in balances_df.index.levels[0]} balances = {i.replace(" ","_") : [i] for i in balances_df.index.levels[0]}
balances["energy"] = balances_df.index.levels[0]^co2_carriers balances["energy"] = balances_df.index.levels[0]^co2_carriers
@ -199,7 +199,7 @@ def plot_balances():
print(df.loc[to_drop]) print(df.loc[to_drop])
df = df.drop(to_drop) df = df.drop(to_drop)
print(df.sum()) print(df.sum())
if df.empty: if df.empty:
@ -209,6 +209,7 @@ def plot_balances():
new_columns = df.columns.sort_values() new_columns = df.columns.sort_values()
fig, ax = plt.subplots() fig, ax = plt.subplots()
fig.set_size_inches((12,8)) fig.set_size_inches((12,8))
@ -249,12 +250,16 @@ if __name__ == "__main__":
snakemake.input = Dict() snakemake.input = Dict()
snakemake.output = Dict() snakemake.output = Dict()
for item in ["costs", "energy", "balances"]: for item in ["costs", "energy"]:
snakemake.input[item] = snakemake.config['summary_dir'] + '/{name}/csvs/{item}.csv'.format(name=snakemake.config['run'],item=item) snakemake.input[item] = snakemake.config['summary_dir'] + '/{name}/csvs/{item}.csv'.format(name=snakemake.config['run'],item=item)
snakemake.output[item] = snakemake.config['summary_dir'] + '/{name}/graphs/{item}.pdf'.format(name=snakemake.config['run'],item=item) snakemake.output[item] = snakemake.config['summary_dir'] + '/{name}/graphs/{item}.pdf'.format(name=snakemake.config['run'],item=item)
snakemake.input["balances"] = snakemake.config['summary_dir'] + '/test/csvs/supply_energy.csv'
snakemake.output["balances"] = snakemake.config['summary_dir'] + '/test/graphs/balances-energy.csv'
n_header = 5 if snakemake.config['foresight']=='myopic' else 3
plot_costs() plot_costs()
plot_energy() plot_energy()
plot_balances() #plot_balances()