def add(self,series,limit=None):
broadcaster = BroadcasterTool()
for name,line in series._plot.line.items():
if limit is not None and name not in limit:
continue
if line.time==[]:
print "Graph.add> empty:", name
continue
plot=create_line_plot((seconds(line.time),line.data),color=line.color)
self.plot_area.add(plot)
axis = PlotAxis(orientation="left", resizable="v",
mapper = plot.y_mapper,
bgcolor="white",
title = name,
title_color = line.color,
title_spacing = -4.0,
border_visible = True,)
## Visual style
axis.bounds = [60,0]
axis.padding_left = 1
axis.padding_right = 1
self.container.add(axis)
## Tools (attach to all for now)
plot.tools.append(broadcaster)
broadcaster.tools.append(PanTool(plot))
broadcaster.tools.append(DragZoom(plot,maintain_aspect_ratio=False,drag_button='right',restrict_domain=True))
def _create_plot_component():
# Create some x-y data series to plot
plot_area = OverlayPlotContainer(border_visible=True)
container = HPlotContainer(padding=50, bgcolor="transparent")
#container.spacing = 15
x = linspace(-2.0, 10.0, 100)
for i in range(5):
color = tuple(COLOR_PALETTE[i])
y = jn(i, x)
renderer = create_line_plot((x, y), color=color)
plot_area.add(renderer)
#plot_area.padding_left = 20
axis = PlotAxis(
orientation="left",
resizable="v",
mapper=renderer.y_mapper,
axis_line_color=color,
tick_color=color,
tick_label_color=color,
title_color=color,
bgcolor="transparent",
title="jn_%d" % i,
border_visible=True,
)
axis.bounds = [60, 0]
axis.padding_left = 10
axis.padding_right = 10
container.add(axis)
if i == 4:
# Use the last plot's X mapper to create an X axis and a
# vertical grid
x_axis = PlotAxis(orientation="bottom",
component=renderer,
mapper=renderer.x_mapper)
renderer.overlays.append(x_axis)
grid = PlotGrid(mapper=renderer.x_mapper,
orientation="vertical",
line_color="lightgray",
line_style="dot")
renderer.underlays.append(grid)
# Add the plot_area to the horizontal container
container.add(plot_area)
# Attach some tools to the plot
broadcaster = BroadcasterTool()
for plot in plot_area.components:
broadcaster.tools.append(PanTool(plot))
# Attach the broadcaster to one of the plots. The choice of which
# plot doesn't really matter, as long as one of them has a reference
# to the tool and will hand events to it.
plot.tools.append(broadcaster)
return container
def _create_plot_component():
# Create some x-y data series to plot
plot_area = OverlayPlotContainer(border_visible=True)
container = HPlotContainer(padding=50, bgcolor="transparent")
#container.spacing = 15
x = linspace(-2.0, 10.0, 100)
for i in range(5):
color = tuple(COLOR_PALETTE[i])
y = jn(i, x)
renderer = create_line_plot((x, y), color=color)
plot_area.add(renderer)
#plot_area.padding_left = 20
axis = PlotAxis(orientation="left", resizable="v",
mapper = renderer.y_mapper,
axis_line_color=color,
tick_color=color,
tick_label_color=color,
title_color=color,
bgcolor="transparent",
title = "jn_%d" % i,
border_visible = True,)
axis.bounds = [60,0]
axis.padding_left = 10
axis.padding_right = 10
container.add(axis)
if i == 4:
# Use the last plot's X mapper to create an X axis and a
# vertical grid
x_axis = PlotAxis(orientation="bottom", component=renderer,
mapper=renderer.x_mapper)
renderer.overlays.append(x_axis)
grid = PlotGrid(mapper=renderer.x_mapper, orientation="vertical",
line_color="lightgray", line_style="dot")
renderer.underlays.append(grid)
# Add the plot_area to the horizontal container
container.add(plot_area)
# Attach some tools to the plot
broadcaster = BroadcasterTool()
for plot in plot_area.components:
broadcaster.tools.append(PanTool(plot))
# Attach the broadcaster to one of the plots. The choice of which
# plot doesn't really matter, as long as one of them has a reference
# to the tool and will hand events to it.
plot.tools.append(broadcaster)
return container
def add(self, series, limit=None):
broadcaster = BroadcasterTool()
for name, line in series._plot.line.items():
if limit is not None and name not in limit:
continue
if line.time == []:
print "Graph.add> empty:", name
continue
plot = create_line_plot((seconds(line.time), line.data),
color=line.color)
self.plot_area.add(plot)
axis = PlotAxis(
orientation="left",
resizable="v",
mapper=plot.y_mapper,
bgcolor="white",
title=name,
title_color=line.color,
title_spacing=-4.0,
border_visible=True,
)
## Visual style
axis.bounds = [60, 0]
axis.padding_left = 1
axis.padding_right = 1
self.container.add(axis)
## Tools (attach to all for now)
plot.tools.append(broadcaster)
broadcaster.tools.append(PanTool(plot))
broadcaster.tools.append(
DragZoom(plot,
maintain_aspect_ratio=False,
drag_button='right',
restrict_domain=True))
