def save_barplot_power(f, figdir, name=None):
if name is None:
name = 'bars_power.png'
production = analysis.get_production(f, Resources.power)
plotdata = production.sum(axis=0) / 1e3
visualization.save_barplot_fig(plotdata,
fig_path(figdir, name),
title=u'Power supply [GWh/year]')
def save_duration_heat(f, figdir, name=None):
if name is None:
name = 'duration_heat.png'
path = fig_path(figdir, name)
title = 'Simulated'
production = analysis.get_production(f, Resources.heat)
aggregated = datautil.aggregate_columns(production, HEAT_PROD_AGGREGATES)
visualization.save_duration_fig(aggregated, path, title=title)
def save_barplot_heat(f, figdir, name=None):
if name is None:
name = 'bars_heat.png'
production = analysis.get_production(f, Resources.heat)
aggregated = datautil.aggregate_columns(production, HEAT_PROD_AGGREGATES)
plotdata = aggregated.sum(axis=0) / 1e3
visualization.save_barplot_fig(plotdata,
fig_path(figdir, name),
title=u'District heating supply [GWh/year]')
def save_duration_heat(f, figdir, name=None):
if name is None:
name = 'duration_heat.png'
path = fig_path(figdir, name)
title = 'Simulated'
production = analysis.get_production(f, Resources.heat)
aggregated = datautil.aggregate_columns(production, HEAT_PROD_AGGREGATES)
visualization.save_duration_fig(aggregated, path, title=title)
def save_barplot_power(f, figdir, name=None):
if name is None:
name = 'bars_power.png'
production = analysis.get_production(f, Resources.power)
plotdata = production.sum(axis=0) / 1e3
visualization.save_barplot_fig(
plotdata,
fig_path(figdir, name),
title=u'Power supply [GWh/year]')
def save_barplot_heat(f, figdir, name=None):
if name is None:
name = 'bars_heat.png'
production = analysis.get_production(f, Resources.heat)
aggregated = datautil.aggregate_columns(production, HEAT_PROD_AGGREGATES)
plotdata = aggregated.sum(axis=0)/1e3
visualization.save_barplot_fig(
plotdata,
fig_path(figdir, name),
title=u'District heating supply [GWh/year]')
def save_stackplot_power(f, figdir, name=None):
if name is None:
name = 'stacked_power.png'
title = 'Power supply [MW]'
production = analysis.get_production(f, Resources.power)
visualization.save_stackplot_fig(
production,
fig_path(figdir, name),
hatch_colors=[d['fg'] for d in COLOR_PAIR_CYCLE],
hatches=HATCH_CYCLE,
title=title)
def save_stackplot_power(f, figdir, name=None):
if name is None:
name = 'stacked_power.png'
title = 'Power supply [MW]'
production = analysis.get_production(f, Resources.power)
visualization.save_stackplot_fig(
production,
fig_path(figdir, name),
hatch_colors=[d['fg'] for d in COLOR_PAIR_CYCLE],
hatches=HATCH_CYCLE,
title=title)
def save_stackplot_heat(f, figdir, name=None):
if name is None:
name = 'stacked_heat.png'
title = 'Heat supply [MW] - Simulated'
path = fig_path(figdir, name)
production = analysis.get_production(f, Resources.heat)
aggregated = datautil.aggregate_columns(production, HEAT_PROD_AGGREGATES)
visualization.save_stackplot_fig(
aggregated,
fig_path(figdir, name),
hatch_colors=[d['fg'] for d in COLOR_PAIR_CYCLE],
hatches=HATCH_CYCLE,
title=title)
def save_stackplot_heat(f, figdir, name=None):
if name is None:
name = 'stacked_heat.png'
title = 'Heat supply [MW] - Simulated'
path = fig_path(figdir, name)
production = analysis.get_production(f, Resources.heat)
aggregated = datautil.aggregate_columns(production, HEAT_PROD_AGGREGATES)
visualization.save_stackplot_fig(
aggregated,
fig_path(figdir, name),
hatch_colors=[d['fg'] for d in COLOR_PAIR_CYCLE],
hatches=HATCH_CYCLE,
title=title)
def save_duration_power(f, figdir, name=None):
if name is None:
name = 'duration_power.png'
production = analysis.get_production(f, Resources.power)
visualization.save_duration_fig(production, fig_path(figdir, name))
def save_duration_power(f, figdir, name=None):
if name is None:
name = 'duration_power.png'
production = analysis.get_production(f, Resources.power)
visualization.save_duration_fig(production, fig_path(figdir, name))