Example #1
0
    def _initialize_plot(self, plotcontainer):
        # Create the data source
        ppd = PandasPlotData(self.dataset)
        plotcontainer.data = ppd

        if self.facet_layout is None:
            [g.plot(plotcontainer, self.aes) for g in self.geoms]

        else:
            # Use the PandasPlotData to create a list of faceted data sources
            facet_pds = ppd.facet(self.facet_layout.factors)

            container = None
            if self.facet_layout.ftype == "grid":
                # Determine the shape by looking at the first faceted datasource.
                # Reaching into the facet_pds is sort of gorpy; need to think
                # of a better interface for PandasPlotData.
                levels = facet_pds[0]._groupby.grouper.levels
                grid_shape = (len(levels[0]), len(levels[1]))
                print("Factors:", self.facet_layout.factors)
                print("Grid of shape:", grid_shape)
                print("Levels:", levels[0], levels[1])

                container = chaco.GridContainer(padding=20,
                                                fill_padding=True,
                                                bgcolor="lightgray",
                                                use_backbuffer=False,
                                                shape=grid_shape,
                                                spacing=(10, 10))
                pd_dict = dict((pd.group_key, pd) for pd in facet_pds)
                factors = self.facet_layout.factors
                title = factors[0] + "=%d, " + factors[1] + "=%d"
                for i in levels[0]:
                    for j in levels[1]:
                        if (i, j) in pd_dict:
                            plot = chaco.Plot(pd_dict[(i, j)],
                                              title=title % (i, j),
                                              padding=15)
                            plot.index_range.tight_bounds = False
                            plot.value_range.tight_bounds = False
                            [g.plot(plot, self.aes) for g in self.geoms]
                        else:
                            plot = chaco.OverlayPlotContainer(
                                bgcolor="lightgray")
                        container.add(plot)

            elif self.facet_layout.ftype == "wrap":
                # This is not really wrapping, instead just using a horizontal
                # plot container.
                container = chaco.HPlotContainer(padding=40,
                                                 fill_padding=True,
                                                 bgcolor="lightgray",
                                                 use_backbuffer=True,
                                                 spacing=20)

            self.window.set_container(container)
            container.request_redraw()
    def create_plot(self):

        # Create the mapper, etc
        self._image_index = chaco.GridDataSource(scipy.array([]),
                                                 scipy.array([]),
                                                 sort_order=("ascending",
                                                             "ascending"))
        image_index_range = chaco.DataRange2D(self._image_index)
        self._image_index.on_trait_change(self._metadata_changed,
                                          "metadata_changed")

        self._image_value = chaco.ImageData(data=scipy.array([]),
                                            value_depth=1)

        image_value_range = chaco.DataRange1D(self._image_value)

        # Create the contour plots
        #self.polyplot = ContourPolyPlot(index=self._image_index,
        self.polyplot = chaco.CMapImagePlot(
            index=self._image_index,
            value=self._image_value,
            index_mapper=chaco.GridMapper(range=image_index_range),
            color_mapper=self._cmap(image_value_range))

        # Add a left axis to the plot
        left = chaco.PlotAxis(orientation='left',
                              title="y",
                              mapper=self.polyplot.index_mapper._ymapper,
                              component=self.polyplot)
        self.polyplot.overlays.append(left)

        # Add a bottom axis to the plot
        bottom = chaco.PlotAxis(orientation='bottom',
                                title="x",
                                mapper=self.polyplot.index_mapper._xmapper,
                                component=self.polyplot)
        self.polyplot.overlays.append(bottom)

        # Add some tools to the plot
        self.polyplot.tools.append(
            tools.PanTool(self.polyplot,
                          constrain_key="shift",
                          drag_button="middle"))

        self.polyplot.overlays.append(
            tools.ZoomTool(component=self.polyplot,
                           tool_mode="box",
                           always_on=False))

        self.lineInspectorX = clickableLineInspector.ClickableLineInspector(
            component=self.polyplot,
            axis='index_x',
            inspect_mode="indexed",
            write_metadata=True,
            is_listener=False,
            color="white")

        self.lineInspectorY = clickableLineInspector.ClickableLineInspector(
            component=self.polyplot,
            axis='index_y',
            inspect_mode="indexed",
            write_metadata=True,
            color="white",
            is_listener=False)

        self.polyplot.overlays.append(self.lineInspectorX)
        self.polyplot.overlays.append(self.lineInspectorY)

        self.boxSelection2D = boxSelection2D.BoxSelection2D(
            component=self.polyplot)
        self.polyplot.overlays.append(self.boxSelection2D)

        # Add these two plots to one container
        self.centralContainer = chaco.OverlayPlotContainer(padding=0,
                                                           use_backbuffer=True,
                                                           unified_draw=True)
        self.centralContainer.add(self.polyplot)

        # Create a colorbar
        cbar_index_mapper = chaco.LinearMapper(range=image_value_range)
        self.colorbar = chaco.ColorBar(
            index_mapper=cbar_index_mapper,
            plot=self.polyplot,
            padding_top=self.polyplot.padding_top,
            padding_bottom=self.polyplot.padding_bottom,
            padding_right=40,
            resizable='v',
            width=30)

        self.plotData = chaco.ArrayPlotData(
            line_indexHorizontal=scipy.array([]),
            line_valueHorizontal=scipy.array([]),
            scatter_indexHorizontal=scipy.array([]),
            scatter_valueHorizontal=scipy.array([]),
            scatter_colorHorizontal=scipy.array([]),
            fitLine_indexHorizontal=scipy.array([]),
            fitLine_valueHorizontal=scipy.array([]))

        self.crossPlotHorizontal = chaco.Plot(self.plotData, resizable="h")
        self.crossPlotHorizontal.height = 100
        self.crossPlotHorizontal.padding = 20
        self.crossPlotHorizontal.plot(
            ("line_indexHorizontal", "line_valueHorizontal"), line_style="dot")
        self.crossPlotHorizontal.plot(
            ("scatter_indexHorizontal", "scatter_valueHorizontal",
             "scatter_colorHorizontal"),
            type="cmap_scatter",
            name="dot",
            color_mapper=self._cmap(image_value_range),
            marker="circle",
            marker_size=4)

        self.crossPlotHorizontal.index_range = self.polyplot.index_range.x_range

        self.plotData.set_data("line_indexVertical", scipy.array([]))
        self.plotData.set_data("line_valueVertical", scipy.array([]))
        self.plotData.set_data("scatter_indexVertical", scipy.array([]))
        self.plotData.set_data("scatter_valueVertical", scipy.array([]))
        self.plotData.set_data("scatter_colorVertical", scipy.array([]))
        self.plotData.set_data("fitLine_indexVertical", scipy.array([]))
        self.plotData.set_data("fitLine_valueVertical", scipy.array([]))

        self.crossPlotVertical = chaco.Plot(self.plotData,
                                            width=140,
                                            orientation="v",
                                            resizable="v",
                                            padding=20,
                                            padding_bottom=160)
        self.crossPlotVertical.plot(
            ("line_indexVertical", "line_valueVertical"), line_style="dot")

        self.crossPlotVertical.plot(
            ("scatter_indexVertical", "scatter_valueVertical",
             "scatter_colorVertical"),
            type="cmap_scatter",
            name="dot",
            color_mapper=self._cmap(image_value_range),
            marker="circle",
            marker_size=4)

        self.crossPlotVertical.index_range = self.polyplot.index_range.y_range

        # Create a container and add components
        self.container = chaco.HPlotContainer(padding=40,
                                              fill_padding=True,
                                              bgcolor="white",
                                              use_backbuffer=False)

        inner_cont = chaco.VPlotContainer(padding=40, use_backbuffer=True)
        inner_cont.add(self.crossPlotHorizontal)
        inner_cont.add(self.centralContainer)
        self.container.add(self.colorbar)
        self.container.add(inner_cont)
        self.container.add(self.crossPlotVertical)