def _render_graph(
self,
identifiers,
start_date,
end_date,
layout_extra=None,
raise_404_if_empty=False,
GraphClass=RainappGraph,
**extra_params
):
today_site_tz = self.tz.localize(datetime.datetime.now())
start_date_utc, end_date_utc = self._to_utc(start_date, end_date)
graph = GraphClass(start_date_utc,
end_date_utc,
today=today_site_tz,
tz=self.tz,
**extra_params)
# Gets timeseries, draws the bars, sets the legend
for identifier in identifiers:
location_name = self._get_location_name(identifier)
cached_value_result = self._cached_values(identifier,
start_date_utc,
end_date_utc)
dates_site_tz = [row['datetime'].astimezone(self.tz)
for row in cached_value_result]
values = [row['value'] for row in cached_value_result]
units = [row['unit'] for row in cached_value_result]
unit = ''
if len(units) > 0:
unit = units[0]
if values:
unit_timedelta = UNIT_TO_TIMEDELTA.get(unit, None)
if unit_timedelta:
# We can draw bars corresponding to period
bar_width = graph.get_bar_width(unit_timedelta)
offset = -1 * unit_timedelta
offset_dates = [d + offset for d in dates_site_tz]
else:
# We can only draw spikes.
bar_width = 0
offset_dates = dates_site_tz
graph.axes.bar(offset_dates,
values,
edgecolor='blue',
width=bar_width,
label=location_name)
graph.set_ylabel(unit)
# graph.legend()
graph.suptitle(location_name)
# Use first identifier and breaks the loop
break
graph.responseobject = HttpResponse(content_type='image/png')
return graph.render()
def _render_graph(
self, identifiers, start_date, end_date, layout_extra=None,
raise_404_if_empty=False, GraphClass=Graph, **extra_params):
"""
Visualize timeseries in a graph.
Legend is always drawn.
New: this is now a more generalized version of image(), to
support FlotGraph.
"""
tz = pytz.timezone(settings.TIME_ZONE)
today_site_tz = tz.localize(datetime.datetime.now())
start_date_utc = dates.to_utc(start_date)
end_date_utc = dates.to_utc(end_date)
graph = GraphClass(start_date_utc,
end_date_utc,
today=today_site_tz,
tz=tz,
**extra_params)
# Gets timeseries, draws the bars, sets the legend
for identifier in identifiers:
location_name = self._grid_name(
identifier['region_name'], identifier['identifier'])
cached_value_result = self.values(identifier,
start_date_utc,
end_date_utc)
dates_utc_timezoneaware = [row['datetime']
for row in cached_value_result]
values = [row['value'] for row in cached_value_result]
units = [row['unit'] for row in cached_value_result]
unit = ''
if len(units) > 0:
unit = units[0]
if values:
unit_timedelta = UNIT_TO_TIMEDELTA.get(unit, None)
if unit_timedelta:
# We can draw bars corresponding to period
bar_width = graph.get_bar_width(unit_timedelta)
offset = -1 * unit_timedelta
offset_dates = [d + offset
for d in dates_utc_timezoneaware]
else:
# We can only draw spikes.
bar_width = 0
offset_dates = dates_utc_timezoneaware
graph.axes.bar(offset_dates,
values,
edgecolor='blue',
width=bar_width,
label=location_name)
graph.set_ylabel(unit)
# graph.legend()
graph.suptitle(location_name)
# Use first identifier and breaks the loop
break
graph.responseobject = HttpResponse(content_type='image/png')
return graph.render()
def _render_graph(self,
identifiers,
start_date,
end_date,
layout_extra=None,
raise_404_if_empty=False,
GraphClass=Graph,
**extra_params):
"""
Visualize timeseries in a graph.
Legend is always drawn.
New: this is now a more generalized version of image(), to
support FlotGraph.
"""
tz = pytz.timezone(settings.TIME_ZONE)
today_site_tz = tz.localize(datetime.datetime.now())
start_date_utc = dates.to_utc(start_date)
end_date_utc = dates.to_utc(end_date)
graph = GraphClass(start_date_utc,
end_date_utc,
today=today_site_tz,
tz=tz,
**extra_params)
# Gets timeseries, draws the bars, sets the legend
for identifier in identifiers:
location_name = self._grid_name(identifier['region_name'],
identifier['identifier'])
cached_value_result = self.values(identifier, start_date_utc,
end_date_utc)
dates_utc_timezoneaware = [
row['datetime'] for row in cached_value_result
]
values = [row['value'] for row in cached_value_result]
units = [row['unit'] for row in cached_value_result]
unit = ''
if len(units) > 0:
unit = units[0]
if values:
unit_timedelta = UNIT_TO_TIMEDELTA.get(unit, None)
if unit_timedelta:
# We can draw bars corresponding to period
bar_width = graph.get_bar_width(unit_timedelta)
offset = -1 * unit_timedelta
offset_dates = [
d + offset for d in dates_utc_timezoneaware
]
else:
# We can only draw spikes.
bar_width = 0
offset_dates = dates_utc_timezoneaware
graph.axes.bar(offset_dates,
values,
edgecolor='blue',
width=bar_width,
label=location_name)
graph.set_ylabel(unit)
# graph.legend()
graph.suptitle(location_name)
# Use first identifier and breaks the loop
break
graph.responseobject = HttpResponse(content_type='image/png')
return graph.render()