def _graph_default(self):
'''
'''
t = TimeSeriesStreamGraph()
t.new_plot(data_limit=300,
scan_delay=SCAN_INTERVAL / 1000.0)
t.set_y_limits(min_=0, max_=10)
return t
def _graph_default(self):
from pychron.graph.time_series_graph import TimeSeriesStreamGraph
g = TimeSeriesStreamGraph()
self.graph_builder(g)
return g
def _graph_default(self):
'''
'''
t = TimeSeriesStreamGraph()
t.new_plot(data_limit=300, scan_delay=SCAN_INTERVAL / 1000.0)
t.set_y_limits(min_=0, max_=10)
return t
def _graph_factory(self):
g = TimeSeriesStreamGraph(container_dict=dict(bgcolor='lightgray',
padding=5))
n = self.graph_scan_width * 60
plot = g.new_plot(padding=[55, 5, 5, 50],
data_limit=n,
xtitle='Time',
ytitle='Signal',
scale=self.graph_scale,
bgcolor='whitesmoke',
zoom=True)
plot.x_grid.visible = False
for i, det in enumerate(self.detectors):
# if not det.active:
g.new_series(visible=det.active,
# use_downsampling=False,
color=det.color)
# print s.use_downsampling
g.set_series_label(det.name)
det.series_id = i
if plot.plots:
cp = plot.plots[det.name][0]
dt = DataTool(plot=cp, component=plot,
normalize_time=True,
use_date_str=False)
dto = DataToolOverlay(
component=plot,
tool=dt)
plot.tools.append(dt)
plot.overlays.append(dto)
# self.graph_ymax_auto = True
# self.graph_ymin_auto = True
# p.value_range.low_setting = 'auto'
# p.value_range.high_setting = 'auto'
# p.value_range.tight_bounds = False
n = self.graph_scan_width
n = max(n, 1 / 60.)
mins = n * 60
g.data_limits[0] = 1.8 * mins
# g.set_x_tracking(mins)
return g
