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remove snakemake dependencies in plot_summary

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martacki 2022-01-14 13:44:33 +01:00
parent f28a088ea3
commit 0da77a7600
1 changed files with 13 additions and 11 deletions
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24
scripts/plot_summary.py
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@ -21,7 +21,7 @@ Description
import os import os
import logging import logging
from _helpers import configure_logging from _helpers import configure_logging, retrieve_snakemake_keys
import pandas as pd import pandas as pd
import matplotlib.pyplot as plt import matplotlib.pyplot as plt
@ -55,7 +55,7 @@ def rename_techs(label):
preferred_order = pd.Index(["transmission lines","hydroelectricity","hydro reservoir","run of river","pumped hydro storage","onshore wind","offshore wind ac", "offshore wind dc","solar PV","solar thermal","OCGT","hydrogen storage","battery storage"]) preferred_order = pd.Index(["transmission lines","hydroelectricity","hydro reservoir","run of river","pumped hydro storage","onshore wind","offshore wind ac", "offshore wind dc","solar PV","solar thermal","OCGT","hydrogen storage","battery storage"])
def plot_costs(infn, fn=None): def plot_costs(infn, config, fn=None):
## For now ignore the simpl header ## For now ignore the simpl header
cost_df = pd.read_csv(infn,index_col=list(range(3)),header=[1,2,3]) cost_df = pd.read_csv(infn,index_col=list(range(3)),header=[1,2,3])
@ -67,7 +67,7 @@ def plot_costs(infn, fn=None):
df = df.groupby(df.index.map(rename_techs)).sum() df = df.groupby(df.index.map(rename_techs)).sum()
to_drop = df.index[df.max(axis=1) < snakemake.config['plotting']['costs_threshold']] to_drop = df.index[df.max(axis=1) < config['plotting']['costs_threshold']]
print("dropping") print("dropping")
@ -84,7 +84,7 @@ def plot_costs(infn, fn=None):
fig, ax = plt.subplots() fig, ax = plt.subplots()
fig.set_size_inches((12,8)) fig.set_size_inches((12,8))
df.loc[new_index,new_columns].T.plot(kind="bar",ax=ax,stacked=True,color=[snakemake.config['plotting']['tech_colors'][i] for i in new_index]) df.loc[new_index,new_columns].T.plot(kind="bar",ax=ax,stacked=True,color=[config['plotting']['tech_colors'][i] for i in new_index])
handles,labels = ax.get_legend_handles_labels() handles,labels = ax.get_legend_handles_labels()
@ -92,7 +92,7 @@ def plot_costs(infn, fn=None):
handles.reverse() handles.reverse()
labels.reverse() labels.reverse()
ax.set_ylim([0,snakemake.config['plotting']['costs_max']]) ax.set_ylim([0,config['plotting']['costs_max']])
ax.set_ylabel("System Cost [EUR billion per year]") ax.set_ylabel("System Cost [EUR billion per year]")
@ -109,7 +109,7 @@ def plot_costs(infn, fn=None):
fig.savefig(fn, transparent=True) fig.savefig(fn, transparent=True)
def plot_energy(infn, fn=None): def plot_energy(infn, config, fn=None):
energy_df = pd.read_csv(infn, index_col=list(range(2)),header=[1,2,3]) energy_df = pd.read_csv(infn, index_col=list(range(2)),header=[1,2,3])
@ -120,7 +120,7 @@ def plot_energy(infn, fn=None):
df = df.groupby(df.index.map(rename_techs)).sum() df = df.groupby(df.index.map(rename_techs)).sum()
to_drop = df.index[df.abs().max(axis=1) < snakemake.config['plotting']['energy_threshold']] to_drop = df.index[df.abs().max(axis=1) < config['plotting']['energy_threshold']]
print("dropping") print("dropping")
@ -137,7 +137,7 @@ def plot_energy(infn, fn=None):
fig, ax = plt.subplots() fig, ax = plt.subplots()
fig.set_size_inches((12,8)) fig.set_size_inches((12,8))
df.loc[new_index,new_columns].T.plot(kind="bar",ax=ax,stacked=True,color=[snakemake.config['plotting']['tech_colors'][i] for i in new_index]) df.loc[new_index,new_columns].T.plot(kind="bar",ax=ax,stacked=True,color=[config['plotting']['tech_colors'][i] for i in new_index])
handles,labels = ax.get_legend_handles_labels() handles,labels = ax.get_legend_handles_labels()
@ -145,7 +145,7 @@ def plot_energy(infn, fn=None):
handles.reverse() handles.reverse()
labels.reverse() labels.reverse()
ax.set_ylim([snakemake.config['plotting']['energy_min'],snakemake.config['plotting']['energy_max']]) ax.set_ylim([config['plotting']['energy_min'], config['plotting']['energy_max']])
ax.set_ylabel("Energy [TWh/a]") ax.set_ylabel("Energy [TWh/a]")
@ -170,10 +170,12 @@ if __name__ == "__main__":
attr='', ext='png', country='all') attr='', ext='png', country='all')
configure_logging(snakemake) configure_logging(snakemake)
summary = snakemake.wildcards.summary paths, config, wildcards, logs, out = retrieve_snakemake_keys(snakemake)
summary = wildcards.summary
try: try:
func = globals()[f"plot_{summary}"] func = globals()[f"plot_{summary}"]
except KeyError: except KeyError:
raise RuntimeError(f"plotting function for {summary} has not been defined") raise RuntimeError(f"plotting function for {summary} has not been defined")
func(os.path.join(snakemake.input[0], f"{summary}.csv"), snakemake.output[0]) func(os.path.join(paths[0], f"{summary}.csv"), config, out[0])