def build_chart(self):
mun_data = models.MunData.objects.get(pk=self.kwargs['pk'])
wind = round((mun_data.gen_el_energy_wind / mun_data.pop_2017), 1)
pv_roof = round((mun_data.gen_el_energy_pv_roof / mun_data.pop_2017),
1)
pv_ground = round(
(mun_data.gen_el_energy_pv_ground / mun_data.pop_2017), 1)
hydro = round((mun_data.gen_el_energy_hydro / mun_data.pop_2017), 1)
bio = round((mun_data.gen_el_energy_bio / mun_data.pop_2017), 1)
data = pd.DataFrame({
'name': [
str(_('Wind')),
str(_('PV Dach')),
str(_('PV Freifläche')),
str(_('Wasserkraft')),
str(_('Bioenergie'))
],
'y': [wind, pv_roof, pv_ground, hydro, bio]
})
data.set_index('name', inplace=True)
# Convert data to appropriate format for pie chart
data = data.reset_index().to_dict(orient='records')
setup_labels = {
'title': {
'text': str(_('Gewonnene Energie aus EE'))
},
'subtitle': {
'text': str(_('je EinwohnerIn'))
},
'plotOptions': {
'pie': {
'dataLabels': {
'format':
'<b>{point.name}</b>: {point.y} \
MWh<br>({point.percentage:.1f} %)',
}
}
},
'tooltip': {
'pointFormat':
'<b>{point.name}</b>: {point.y} \
MWh<br>({point.percentage:.1f} %)'
}
}
chart = highcharts.HCPiechart(data=data,
setup_labels=setup_labels,
style='display: inline-block',
theme='popups')
return chart
def build_chart(self):
mun_data = models.MunData.objects.get(pk=self.kwargs['pk'])
hh = round((mun_data.dem_el_energy_hh * 1000 / mun_data.pop_2017))
rca = round((mun_data.dem_el_energy_rca * 1000 / mun_data.pop_2017))
ind = round((mun_data.dem_el_energy_ind * 1000 / mun_data.pop_2017))
data = pd.DataFrame({
'name': [
str(_('Haushalte')),
str(_('GHD und Landw.')),
str(_('Industrie'))
],
'y': [hh, rca, ind]
})
data.set_index('name', inplace=True)
# Convert data to appropriate format for pie chart
data = data.reset_index().to_dict(orient='records')
setup_labels = {
'title': {
'text': str(_('Strombedarf'))
},
'subtitle': {
'text': str(_('je EinwohnerIn nach Verbrauchergruppe'))
},
'plotOptions': {
'pie': {
'dataLabels': {
'format':
'<b>{point.name}</b>: {point.y} \
KWh<br>({point.percentage:.1f} %)',
}
}
},
'tooltip': {
'pointFormat':
'<b>{point.name}</b>: {point.y} \
KWh<br>({point.percentage:.1f} %)'
}
}
chart = highcharts.HCPiechart(data=data,
setup_labels=setup_labels,
style='display: inline-block',
theme='popups')
return chart
def visualize(self, **kwargs):
# load tooltip text from labels using container id
container_id = kwargs.get('renderTo', None)
if container_id is not None:
tooltip_section = label_data()['charts'].get(container_id, None)
if tooltip_section is not None:
tooltip_text = tooltip_section.get('text', '')
else:
tooltip_text = ''
else:
tooltip_text = ''
# prepare chart
if self.type == 'line':
visualization = highcharts.HCTimeseries(
data=self.data,
setup_labels=self.setup_labels,
tooltip_text=tooltip_text,
style='display: inline-block',
**kwargs)
elif self.type == 'pie':
visualization = highcharts.HCPiechart(
data=self.data,
setup_labels=self.setup_labels,
tooltip_text=tooltip_text,
style='display: inline-block',
**kwargs)
elif self.type == 'column':
visualization = highcharts.HCStackedColumn(
data=self.data,
setup_labels=self.setup_labels,
tooltip_text=tooltip_text,
style='display: inline-block',
**kwargs)
else:
raise ValueError
return visualization
