def plot_summary(model, to_file=False, mapbox_access_token=None):
"""
Plot a summary containing timeseries, installed capacities, and
transmission plots. Returns a HTML string by default, returns None if
``to_file`` given (and saves the HTML string to file).
Parameters
----------
to_file : str, optional
Path to output file to save HTML to.
mapbox_access_token : str, optional
(passed to plot_transmission) If given and a valid Mapbox API
key, a Mapbox map is drawn for lat-lon coordinates, else
(by default), a more simple built-in map.
"""
subset = {'costs': ['monetary']}
timeseries = _plot(*plot_timeseries(model, subset=subset), html_only=True)
capacity = _plot(*plot_capacity(model, subset=subset), html_only=True)
if 'loc_coordinates' in model._model_data:
transmission = _plot(*plot_transmission(
model, html_only=True, mapbox_access_token=mapbox_access_token
), html_only=True)
else:
transmission = '<br><br><p>No location coordinates defined -<br>not plotting transmission.</p>'
template_path = os.path.join(
os.path.dirname(__file__), '..', '..', 'config', 'plots_template.html'
)
with open(template_path, 'r') as f:
html_template = jinja2.Template(f.read())
if 'solution_time' in model._model_data.attrs:
solution_time = model._model_data.attrs['solution_time'] / 60
time_finished = model._model_data.attrs['time_finished']
result_stats = 'taking {:.2f} minutes to solve, completed at {}'.format(
solution_time, time_finished
)
else:
result_stats = 'inputs only'
html = html_template.render(
model_name=model._model_data.attrs['model.name'],
calliope_version=model._model_data.attrs['calliope_version'],
result_stats=result_stats,
top=timeseries,
bottom_left=capacity,
bottom_right=transmission,
)
# Strip plotly-inserted style="..." attributes
html = re.sub(r'style=".+?"', '', html)
if to_file:
with open(to_file, 'w') as f:
f.write(html)
else:
return html
def plot_summary(model, out_file=None, mapbox_access_token=None):
"""
Plot a summary containing timeseries, installed capacities, and
transmission plots. Returns a HTML string if ``out_file`` not
given, else None.
Parameters
----------
out_file : str, optional
Path to output file to save HTML to.
mapbox_access_token : str, optional
(passed to plot_transmission) If given and a valid Mapbox API
key, a Mapbox map is drawn for lat-lon coordinates, else
(by default), a more simple built-in map.
"""
timeseries = _plot(*plot_timeseries(model), html_only=True)
capacity = _plot(*plot_capacity(model), html_only=True)
transmission = _plot(*plot_transmission(
model, html_only=True, mapbox_access_token=mapbox_access_token
), html_only=True)
template_path = os.path.join(
os.path.dirname(__file__), '..', '..', 'config', 'plots_template.html'
)
with open(template_path, 'r') as f:
html_template = jinja2.Template(f.read())
html = html_template.render(
model_name=model._model_data.attrs['model.name'],
calliope_version=model._model_data.attrs['calliope_version'],
solution_time=(model._model_data.attrs['solution_time'] / 60),
time_finished=model._model_data.attrs['time_finished'],
top=timeseries,
bottom_left=capacity,
bottom_right=transmission,
)
# Strip plotly-inserted style="..." attributes
html = re.sub(r'style=".+?"', '', html)
if out_file:
with open(out_file, 'w') as f:
f.write(html)
else:
return html
def capacity(self, **kwargs):
data, layout = plot_capacity(self._model, **kwargs)
return _plot(data, layout, **kwargs)
def capacity(self, **kwargs):
self.check_optimality()
data, layout = plot_capacity(self._model, **kwargs)
return _plot(data, layout, **kwargs)
def capacity(self, **kwargs):
self.check_optimality()
data, layout = plot_capacity(self._model, **kwargs)
return _plot(data, layout, **kwargs)