예제 #1
0
    def make_colorbar(self, plot, width=30, padding=20, orientation='v', resizable='v'):
        cm = gray(DataRange1D())
        lm = LinearMapper()
        colorbar = ColorBar(orientation=orientation,
                            resizable=resizable,
                            width=width,
                            padding=padding,
                            index_mapper=lm,
                            color_mapper=cm)

        if plot is not None:
            colorbar.trait_set(index_mapper=LinearMapper(range=plot.color_mapper.range),
                               color_mapper=plot.color_mapper,
                               plot=plot)

        return colorbar
예제 #2
0
    def make_colorbar(self,
                      plot,
                      width=30,
                      padding=20,
                      orientation='v',
                      resizable='v'):
        cm = gray(DataRange1D())
        lm = LinearMapper()
        colorbar = ColorBar(orientation=orientation,
                            resizable=resizable,
                            width=width,
                            padding=padding,
                            index_mapper=lm,
                            color_mapper=cm)

        if plot is not None:
            colorbar.trait_set(
                index_mapper=LinearMapper(range=plot.color_mapper.range),
                color_mapper=plot.color_mapper,
                plot=plot)

        return colorbar
예제 #3
0
    def create_plot(self):
        if hasattr(self.value, 'shadows'):
            color_gen = color_generator()
            shadowcolors = {}
            for shadow in self.value.shadows:
                shadowcolors[shadow] = color_gen.next()

        container_class = {
            'h': HPlotContainer,
            'v': VPlotContainer
        }[self.orientation]
        container = container_class(spacing=15,
                                    padding=15,
                                    bgcolor='transparent')
        container.fill_padding = True
        container.bgcolor = (236 / 255.0, 233 / 255.0, 216 / 255.0)

        if self.show_all:
            self.plot_items = self.value.keys()

        if len(self.plot_items) > 0:
            plot_configs = []
            for (plot_num, var_name) in enumerate(self.plot_items):
                if not (isinstance(self.value[var_name], ndarray) and \
                        len(self.value[var_name].shape) == 1):
                    continue
                plot_configs.append(
                    PlotConfig(x=var_name + '_index',
                               y=var_name,
                               type='Line',
                               number=plot_num))
            self.plot_configs = plot_configs

        if len(self.plot_configs) > 0:
            number_to_plots = {}
            for plot_config in self.plot_configs:
                plotlist = number_to_plots.get(plot_config.number, [])
                plotlist.append(plot_config)
                number_to_plots[plot_config.number] = plotlist

            keys = number_to_plots.keys()
            keys.sort()
            container_list = [number_to_plots[number] for number in keys]

            for plot_group in container_list:
                context_adapter = PlotDataContextAdapter(context=self.value)
                plot = Plot(context_adapter)
                plot.padding = 15
                plot.padding_left = 35
                plot.padding_bottom = 30
                plot.spacing = 15
                plot.border_visible = True
                for plot_item in plot_group:
                    if len(self.value[plot_item.y].shape) == 2:
                        color_range = DataRange1D(
                            low=min(self.value[plot_item.y]),
                            high=max(self.value[plot_item.y]))
                        plot.img_plot(plot_item.y,
                                      colormap=gray(color_range),
                                      name=plot_item.y)

                    else:
                        plot_type = {
                            'Line': 'line',
                            'Scatter': 'scatter'
                        }[plot_item.type]
                        plot.plot(
                            (plot_item.x, plot_item.y),
                            name=plot_item.x + " , " + plot_item.y,
                            color=(.7, .7, .7),
                            type=plot_type,
                        )
                        if plot.index_axis.title != '':
                            plot.index_axis.title = plot.index_axis.title + ', ' + plot_item.x
                        else:
                            plot.index_axis.title = plot_item.x

                        if plot.value_axis.title != '':
                            plot.value_axis.title = plot.value_axis.title + ', ' + plot_item.y
                        else:
                            plot.value_axis.title = plot_item.y

                        if self.view_shadows and hasattr(
                                self.value, 'shadows'):
                            self.generate_shadow_plots(plot, shadowcolors,
                                                       plot_item, plot_type)

                plot.tools.append(PanTool(plot))
                container.add(plot)

        self.plot = container
예제 #4
0
    def create_plot(self):
        if hasattr(self.value, 'shadows'):
            color_gen = color_generator()
            shadowcolors = {}
            for shadow in self.value.shadows:
                shadowcolors[shadow] = color_gen.next()

        container_class = {'h' : HPlotContainer, 'v' : VPlotContainer}[self.orientation]
        container = container_class(spacing=15, padding=15, bgcolor = 'transparent')
        container.fill_padding = True
        container.bgcolor=(236/255.0, 233/255.0, 216/255.0)

        if self.show_all:
            self.plot_items = self.value.keys()

        if len(self.plot_items)>0:
            plot_configs = []
            for (plot_num, var_name) in enumerate(self.plot_items):
                if not (isinstance(self.value[var_name], ndarray) and \
                        len(self.value[var_name].shape) == 1):
                    continue
                plot_configs.append(PlotConfig(x=var_name + '_index',
                                               y=var_name,
                                               type='Line',
                                               number=plot_num))
            self.plot_configs = plot_configs


        if len(self.plot_configs)>0:
            number_to_plots = {}
            for plot_config in self.plot_configs:
                plotlist = number_to_plots.get(plot_config.number, [])
                plotlist.append(plot_config)
                number_to_plots[plot_config.number] = plotlist

            keys = number_to_plots.keys()
            keys.sort()
            container_list = [number_to_plots[number] for number in keys]

            for plot_group in container_list:
                context_adapter = PlotDataContextAdapter(context=self.value)
                plot = Plot(context_adapter)
                plot.padding = 15
                plot.padding_left=35
                plot.padding_bottom = 30
                plot.spacing=15
                plot.border_visible = True
                for plot_item in plot_group:
                    if len(self.value[plot_item.y].shape) == 2:
                        color_range = DataRange1D(low=min(self.value[plot_item.y]),
                                                  high=max(self.value[plot_item.y]))
                        plot.img_plot(plot_item.y, colormap=gray(color_range),
                                      name=plot_item.y)

                    else:
                        plot_type = {'Line':'line', 'Scatter':'scatter'}[plot_item.type]
                        plot.plot((plot_item.x, plot_item.y),
                                  name=plot_item.x + " , " + plot_item.y,
                                  color=(.7, .7, .7),
                                  type=plot_type,)
                        if plot.index_axis.title != '':
                            plot.index_axis.title = plot.index_axis.title + ', ' + plot_item.x
                        else:
                            plot.index_axis.title = plot_item.x

                        if plot.value_axis.title != '':
                            plot.value_axis.title = plot.value_axis.title + ', ' + plot_item.y
                        else:
                            plot.value_axis.title = plot_item.y


                        if self.view_shadows and hasattr(self.value, 'shadows'):
                            self.generate_shadow_plots(plot, shadowcolors, plot_item, plot_type)



                plot.tools.append(PanTool(plot))
                container.add(plot)

        self.plot = container