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？那么恭喜您, 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类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