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lower log level in plot_summary.py and fix warning

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reduce the level of "Dropping technology energy balance smaller than {snakemake.config['plotting']['energy_threshold']/10} {units}" and "Total energy balance for {v} of {round(df.sum()[0],2)} {units}" from INFO-> DEBUG. 

Extra warning fix
Add `plt.cla()` in the `for k, v in balances.items()` and take out fig, ax = plt.subplots(figsize=(12,8)) from that for loop to fix RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).
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virio-andreyana 2023-03-01 12:29:36 +01:00 committed by GitHub
parent 379ed0da93
commit f75cec93d6
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1 changed files with 6 additions and 4 deletions
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scripts/plot_summary.py
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@ -244,6 +244,8 @@ def plot_balances():
balances = {i.replace(" ","_"): [i] for i in balances_df.index.levels[0]}
balances["energy"] = [i for i in balances_df.index.levels[0] if i not in co2_carriers]
fig, ax = plt.subplots(figsize=(12,8))
for k, v in balances.items():
@ -265,12 +267,12 @@ def plot_balances():
else:
units = "TWh/a"
logger.info(f"Dropping technology energy balance smaller than {snakemake.config['plotting']['energy_threshold']/10} {units}")
logger.debug(f"Dropping technology energy balance smaller than {snakemake.config['plotting']['energy_threshold']/10} {units}")
logger.debug(df.loc[to_drop])
df = df.drop(to_drop)
logger.info(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()[0],2)} {units}")
if df.empty:
continue
@ -279,8 +281,6 @@ def plot_balances():
new_columns = df.columns.sort_values()
fig, ax = plt.subplots(figsize=(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])
@ -302,6 +302,8 @@ def plot_balances():
fig.savefig(snakemake.output.balances[:-10] + k + ".pdf", bbox_inches='tight')
plt.cla()
def historical_emissions(cts):