class MultiPlot():
    range_x_min = 0.0
    range_x_max = 0.0

    def __init__(self):
        self.container = VPlotContainer(background="transparent")
        self.value_mapper = None
        self.index_mapper = None
        self.data = ArrayPlotData()

    def create_sub_container(self, title=None):
        sub_container = OverlayPlotContainer(
            padding_bottom=35,
            padding_top=20,
            padding_left=45,
            padding_right=5,
            fill_padding=True,
            bgcolor="lightgray",
            use_backbuffer=True
        )

        sub_container.overlays.append(
            PlotLabel(title,
                      component=sub_container,
                      font="swiss 16",
                      overlay_position="top"
            )
        )

        self.value_mapper = None
        self.index_mapper = None

        return sub_container

    def add_line_plot(self, sub_container, x=None, y=None, flag=None, label=None, color=None):
        if not color:
            color = tuple(COLOR_PALETTE[len(sub_container.components)])

        plot = create_line_plot(
            (x, y),
            color=color
        )

        if not (self.value_mapper or self.index_mapper):
            self.value_mapper, self.index_mapper = self._setup_plot_tools(plot)
        else:
            self._setup_mapper(plot, self.value_mapper, self.index_mapper)

        sub_container.add(plot)

    def add_scatter_plot(self, sub_container, x=None, y=None, flag=None, label=None, color=None, size=2.0):
        if not color:
            color = tuple(COLOR_PALETTE[len(sub_container.components)])

        plot = create_scatter_plot(
            (x, y),
            color=color,
            marker_size=size
        )

        if not (self.value_mapper or self.index_mapper):
            self.value_mapper, self.index_mapper = self._setup_plot_tools(plot)
        else:
            self._setup_mapper(plot, self.value_mapper, self.index_mapper)

        sub_container.add(plot)

    def add_scatter_line_plot(self, sub_container, x=None, y=None, flag=None, label=None, color=None, size=2.0):
        if not color:
            color = tuple(COLOR_PALETTE[len(sub_container.components)])

        data = ArrayPlotData(x=x, y=y)

        plot = ScatterLinePlot(
            data=data
            # color=color,
            # marker_size=size
        )

        if not (self.value_mapper or self.index_mapper):
            self.value_mapper, self.index_mapper = self._setup_plot_tools(plot)
        else:
            self._setup_mapper(plot, self.value_mapper, self.index_mapper)

        sub_container.add(plot)

    def get_plot(self, sub_containers):
        for sub_container in sub_containers:
            self.container.add(sub_container)

        return self.container

    def _setup_plot_tools(self, plot):
        # Make a white background with grids and axes
        plot.bgcolor = "white"
        add_default_grids(plot)
        add_default_axes(plot, htitle='BJD - 167.0')

        # Tools
        plot.tools.append(PanTool(plot, drag_button="left"))
        zoom = ZoomTool(plot, tool_mode="box", always_on=False)
        plot.overlays.append(zoom)

        # Range selection tool
        value_range = plot.value_mapper.range
        rangeselect = RangeSelection(plot, enable_resize=False, left_button_selects=False)
        plot.tools.append(rangeselect)
        plot.overlays.append(RangeSelectionOverlay(component=plot))
        plot.show_selection = False
        rangeselect.on_trait_event(self.on_selection_changed, "selection")

        return plot.value_mapper, plot.index_mapper

    def on_selection_changed(self, selection):
        if selection is not None:
            self.range_x_max = selection[1]
            self.range_x_min = selection[0]

    def get_selection_range(self):
        return float(self.range_x_min), float(self.range_x_max)

    def _setup_mapper(self, plot, value_mapper, index_mapper):
        """Sets up a mapper for given plot"""
        plot.value_mapper = value_mapper
        value_mapper.range.add(plot.value)
        plot.index_mapper = index_mapper
        index_mapper.range.add(plot.index)