def plot_total_energy_pie(n, ax=None):
"""Add total energy pie plot"""
if ax is None:
ax = plt.gca()
ax.set_title('Energy per technology', fontdict=dict(fontsize="medium"))
e_primary = aggregate_p(n).drop('load', errors='ignore').loc[lambda s: s>0]
patches, texts, autotexts = ax.pie(e_primary,
startangle=90,
labels = e_primary.rename(opts['nice_names_n']).index,
autopct='%.0f%%',
shadow=False,
colors = [opts['tech_colors'][tech] for tech in e_primary.index])
for t1, t2, i in zip(texts, autotexts, e_primary.index):
if e_primary.at[i] < 0.04 * e_primary.sum():
t1.remove()
t2.remove()
def plot_total_energy_pie(n, ax=None):
if ax is None:
ax = plt.gca()
ax.set_title("Energy per technology", fontdict=dict(fontsize="medium"))
e_primary = aggregate_p(n).drop("load",
errors="ignore").loc[lambda s: s > 0]
patches, texts, autotexts = ax.pie(
e_primary,
startangle=90,
labels=e_primary.rename(opts["nice_names"]).index,
autopct="%.0f%%",
shadow=False,
colors=[opts["tech_colors"][tech] for tech in e_primary.index],
)
for t1, t2, i in zip(texts, autotexts, e_primary.index):
if e_primary.at[i] < 0.04 * e_primary.sum():
t1.remove()
t2.remove()
labels.append(opts['nice_names'].get(t, t))
l3 = ax.legend(handles, labels, loc="upper center", bbox_to_anchor=(0.5, -0.), # bbox_to_anchor=(0.72, -0.05),
handletextpad=0., columnspacing=0.5, ncol=4, title='Technology')
fig.savefig(snakemake.output.only_map, dpi=150,
bbox_inches='tight', bbox_extra_artists=[l1,l2,l3])
#n = load_network(snakemake.input.network, opts, combine_hydro_ps=False)
## Add total energy p
ax1 = ax = fig.add_axes([-0.115, 0.625, 0.2, 0.2])
ax.set_title('Energy per technology', fontdict=dict(fontsize="medium"))
e_primary = aggregate_p(n).drop('load', errors='ignore').loc[lambda s: s>0]
patches, texts, autotexts = ax.pie(e_primary,
startangle=90,
labels = e_primary.rename(opts['nice_names_n']).index,
autopct='%.0f%%',
shadow=False,
colors = [tech_colors[tech] for tech in e_primary.index])
for t1, t2, i in zip(texts, autotexts, e_primary.index):
if e_primary.at[i] < 0.04 * e_primary.sum():
t1.remove()
t2.remove()
## Add average system cost bar plot
# ax2 = ax = fig.add_axes([-0.1, 0.2, 0.1, 0.33])
# ax2 = ax = fig.add_axes([-0.1, 0.15, 0.1, 0.37])
ncol=4,
title='Technology')
fig.savefig(snakemake.output.only_map,
dpi=150,
bbox_inches='tight',
bbox_extra_artists=[l1, l2, l3])
#n = load_network(snakemake.input.network, opts, combine_hydro_ps=False)
## Add total energy p
ax1 = ax = fig.add_axes([-0.115, 0.625, 0.2, 0.2])
ax.set_title('Energy per technology', fontdict=dict(fontsize="medium"))
e_primary = aggregate_p(n).drop('load').loc[lambda s: s > 0]
patches, texts, autotexts = ax.pie(
e_primary,
startangle=90,
labels=e_primary.rename(opts['nice_names_n']).index,
autopct='%.0f%%',
shadow=False,
colors=[tech_colors[tech] for tech in e_primary.index])
for t1, t2, i in zip(texts, autotexts, e_primary.index):
if e_primary.at[i] < 0.04 * e_primary.sum():
t1.remove()
t2.remove()
## Add average system cost bar plot
# ax2 = ax = fig.add_axes([-0.1, 0.2, 0.1, 0.33])