Beispiel #1
0
	def _plot_default(self):
		self.data = self._data_default()

		plot = Plot(self.data)

		for ii, s_name in enumerate(self._samples):
			color = COLORS[ii % len(self._samples)]
			plot.plot(('bins',s_name), name=s_name,
					   type='filled_line',
					   edge_color=color,
					   face_color=color,
					   alpha=0.5,
					   bgcolor='white',
					   render_style='hold') # render_style determines whether interpolate

		plot.index = plot._get_or_create_datasource('bins') #set index name manually so range selection works
		plot.index_scale = 'log'
		plot.title = 'Fermi Plot'
		plot.padding = 50
		plot.legend.visible = True

		plot.tools.append(PanTool(plot))
		plot.active_tool = RangeSelection(plot)
		plot.overlays.append(RangeSelectionOverlay(component=plot))
		zoom = ZoomTool(component=plot, tool_mode='box', always_on=False)
		plot.overlays.append(zoom)

		return plot	
Beispiel #2
0
    def _plot_default(self):
        self.data = self._data_default()

        plot = Plot(self.data)

        for ii, s_name in enumerate(self._samples):
            color = COLORS[ii % len(self._samples)]
            plot.plot(
                ("bins", s_name),
                name=s_name,
                type="filled_line",
                edge_color=color,
                face_color=color,
                alpha=0.5,
                bgcolor="white",
                render_style="hold",
            )  # render_style determines whether interpolate

        plot.index = plot._get_or_create_datasource("bins")  # set index name manually so range selection works
        plot.index_scale = "log"
        plot.title = "Fermi Plot"
        plot.padding = 50
        plot.legend.visible = True

        plot.tools.append(PanTool(plot))
        plot.active_tool = RangeSelection(plot)
        plot.overlays.append(RangeSelectionOverlay(component=plot))
        zoom = ZoomTool(component=plot, tool_mode="box", always_on=False)
        plot.overlays.append(zoom)

        return plot
Beispiel #3
0
    def _stackedhist_default(self):
        plot = Plot(self.stackedhist_data, padding=(25, 0, 5, 20))
        plot_selected = plot.plot(('index', 'selected'), type='bar', bar_width=1, fill_color='red', line_color='red')
        plot_parkinson = plot.plot(('index', 'positives'), type='bar', bar_width=0.5, fill_color='yellow', line_color='yellow')
        plot_control = plot.plot(('index', 'negatives'), name="select", type='bar', bar_width=0.5, fill_color='blue', line_color='blue')

        # set the plot's value low range to 0, otherwise it will pad too much
        plot.value_range = DataRange1D(low_settings=0)

        legend = Legend(component=plot, padding=5, align='ur',
                        plots={'Control': plot_control, 'Parkinson': plot_parkinson})
        plot.overlays.append(legend)
        #return plot

        zoomplot = Plot(self.stackedhist_data, padding=(25, 0, 5, 20))
        zoomplot_selected = zoomplot.plot(('index', 'selected'), type='bar', bar_width=1, fill_color='red', line_color='red')
        zoomplot_parkinson = zoomplot.plot(('index', 'positives'), type='bar', bar_width=0.5, fill_color='yellow', line_color='yellow')
        zoomplot_control = zoomplot.plot(('index', 'negatives'), type='bar', bar_width=0.5, fill_color='blue', line_color='blue')

        zoomplot.value_range = DataRange1D(low_settings=0)
        zoomplot.index_axis.title = "Class count / patch"

        outer_container = VPlotContainer(padding=20,
                                         fill_padding=True,
                                         spacing=0,
                                         stack_order='top_to_bottom',
                                         bgcolor='lightgray',
                                         use_backbuffer=True)

        plot.index = plot_control[0].index

        outer_container.add(plot)
        outer_container.add(zoomplot)
        plot.controller = RangeSelection(plot)
        zoom_overlay = ZoomOverlay(source=plot, destination=zoomplot)
        outer_container.overlays.append(zoom_overlay)

        return outer_container