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))