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Python HPlotContainer.invalidate_draw方法代码示例

本文整理汇总了Python中enthought.chaco.api.HPlotContainer.invalidate_draw方法的典型用法代码示例。如果您正苦于以下问题:Python HPlotContainer.invalidate_draw方法的具体用法?Python HPlotContainer.invalidate_draw怎么用?Python HPlotContainer.invalidate_draw使用的例子?那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在enthought.chaco.api.HPlotContainer的用法示例。


在下文中一共展示了HPlotContainer.invalidate_draw方法的1个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。

示例1: PlotUI

# 需要导入模块: from enthought.chaco.api import HPlotContainer [as 别名]
# 或者: from enthought.chaco.api.HPlotContainer import invalidate_draw [as 别名]

#.........这里部分代码省略.........

        self.pd.set_data("line_index2", array([]))
        self.pd.set_data("line_value2", array([]))
        self.pd.set_data("scatter_index2", array([]))
        self.pd.set_data("scatter_value2", array([]))
        self.pd.set_data("scatter_color2", array([]))

        self.cross_plot2 = Plot(self.pd, width = 140, orientation="v", resizable="v", padding=20, padding_bottom=160)
        self.cross_plot2.plot(("line_index2", "line_value2"),
                             line_style="dot")
        self.cross_plot2.plot(("scatter_index2","scatter_value2","scatter_color2"),
                             type="cmap_scatter",
                             name="dot",
                             color_mapper=self._cmap(image_value_range),
                             marker="circle",
                             marker_size=8)

        self.cross_plot2.index_range = self.polyplot.index_range.y_range



        # Create a container and add components
        self.container = HPlotContainer(padding=40, fill_padding=True,
                                        bgcolor = "white", use_backbuffer=False)
        inner_cont = VPlotContainer(padding=0, use_backbuffer=True)
        inner_cont.add(self.cross_plot)
        inner_cont.add(contour_container)
        self.container.add(self.colorbar)
        self.container.add(inner_cont)
        self.container.add(self.cross_plot2)


    def update(self, model):
        self.minz = model.minz
        self.maxz = model.maxz
        self.colorbar.index_mapper.range.low = self.minz
        self.colorbar.index_mapper.range.high = self.maxz
        self._image_index.set_data(model.xs, model.ys)
        self._image_value.data = model.zs
        self.pd.set_data("line_index", model.xs)
        self.pd.set_data("line_index2", model.ys)
        self.container.invalidate_draw()
        self.container.request_redraw()


    #---------------------------------------------------------------------------
    # Event handlers
    #---------------------------------------------------------------------------

    def _metadata_changed(self, old, new):
        """ This function takes out a cross section from the image data, based
        on the line inspector selections, and updates the line and scatter
        plots."""

        self.cross_plot.value_range.low = self.minz
        self.cross_plot.value_range.high = self.maxz
        self.cross_plot2.value_range.low = self.minz
        self.cross_plot2.value_range.high = self.maxz
        if self._image_index.metadata.has_key("selections"):
            x_ndx, y_ndx = self._image_index.metadata["selections"]
            if y_ndx and x_ndx:
                self.pd.set_data("line_value",
                                 self._image_value.data[y_ndx,:])
                self.pd.set_data("line_value2",
                                 self._image_value.data[:,x_ndx])
                xdata, ydata = self._image_index.get_data()
                xdata, ydata = xdata.get_data(), ydata.get_data()
                self.pd.set_data("scatter_index", array([xdata[x_ndx]]))
                self.pd.set_data("scatter_index2", array([ydata[y_ndx]]))
                self.pd.set_data("scatter_value",
                    array([self._image_value.data[y_ndx, x_ndx]]))
                self.pd.set_data("scatter_value2",
                    array([self._image_value.data[y_ndx, x_ndx]]))
                self.pd.set_data("scatter_color",
                    array([self._image_value.data[y_ndx, x_ndx]]))
                self.pd.set_data("scatter_color2",
                    array([self._image_value.data[y_ndx, x_ndx]]))
        else:
            self.pd.set_data("scatter_value", array([]))
            self.pd.set_data("scatter_value2", array([]))
            self.pd.set_data("line_value", array([]))
            self.pd.set_data("line_value2", array([]))

    def _colormap_changed(self):
        self._cmap = color_map_name_dict[self.colormap]
        if hasattr(self, "polyplot"):
            value_range = self.polyplot.color_mapper.range
            self.polyplot.color_mapper = self._cmap(value_range)
            value_range = self.cross_plot.color_mapper.range
            self.cross_plot.color_mapper = self._cmap(value_range)
            # FIXME: change when we decide how best to update plots using
            # the shared colormap in plot object
            self.cross_plot.plots["dot"][0].color_mapper = self._cmap(value_range)
            self.cross_plot2.plots["dot"][0].color_mapper = self._cmap(value_range)
            self.container.request_redraw()

    def _num_levels_changed(self):
        if self.num_levels > 3:
            self.polyplot.levels = self.num_levels
            self.lineplot.levels = self.num_levels
开发者ID:brycehendrix,项目名称:chaco,代码行数:104,代码来源:scalar_image_function_inspector.py


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