#!/usr/bin/env python """ Draws an simple RGB image - Left-drag pans the plot. - Mousewheel up and down zooms the plot in and out. - Pressing "z" brings up the Zoom Box, and you can click-drag a rectangular region to zoom. If you use a sequence of zoom boxes, pressing alt-left-arrow and alt-right-arrow moves you forwards and backwards through the "zoom history". """ # Major library imports from numpy import zeros, uint8 from enthought.enable.example_support import DemoFrame, demo_main # Enthought library imports from enthought.enable.api import Component, ComponentEditor, Window from enthought.traits.api import HasTraits, Instance from enthought.traits.ui.api import Item, Group, View # Chaco imports from enthought.chaco.api import ArrayPlotData, Plot from enthought.chaco.tools.api import PanTool, ZoomTool from enthought.chaco.tools.image_inspector_tool import ImageInspectorTool, \ ImageInspectorOverlay #=============================================================================== # # Create the Chaco plot. #=============================================================================== def _create_plot_component(): # Create some RGBA image data image = zeros((200,400,4), dtype=uint8) image[:,0:40,0] += 255 # Vertical red stripe image[0:25,:,1] += 255 # Horizontal green stripe; also yellow square image[-80:,-160:,2] += 255 # Blue square image[:,:,3] = 255 # Create a plot data obect and give it this data pd = ArrayPlotData() pd.set_data("imagedata", image) # Create the plot plot = Plot(pd, default_origin="top left") plot.x_axis.orientation = "top" img_plot = plot.img_plot("imagedata")[0] # Tweak some of the plot properties plot.bgcolor = "white" # Attach some tools to the plot plot.tools.append(PanTool(plot, constrain_key="shift")) plot.overlays.append(ZoomTool(component=plot, tool_mode="box", always_on=False)) imgtool = ImageInspectorTool(img_plot) img_plot.tools.append(imgtool) plot.overlays.append(ImageInspectorOverlay(component=img_plot, image_inspector=imgtool)) return plot #=============================================================================== # Attributes to use for the plot view. size = (600, 600) title="Simple image plot" bg_color="lightgray" #=============================================================================== # # Demo class that is used by the demo.py application. #=============================================================================== class Demo(HasTraits): plot = Instance(Component) traits_view = View( Group( Item('plot', editor=ComponentEditor(size=size, bgcolor=bg_color), show_label=False), orientation = "vertical"), resizable=True, title=title ) def _plot_default(self): return _create_plot_component() demo = Demo() #=============================================================================== # Stand-alone frame to display the plot. #=============================================================================== class PlotFrame(DemoFrame): def _create_window(self): # Return a window containing our plots return Window(self, -1, component=_create_plot_component(), bg_color=bg_color) if __name__ == "__main__": demo_main(PlotFrame, size=size, title=title) #--EOF---