#!/usr/bin/env python
""" 
Demonstrates the ImageInspectorTool and overlay on a colormapped image
plot.  The underlying plot is similar to the one in cmap_image_plot.py.

 - 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".

 - Pressing "p" will toggle the display of the image inspector overlay.
"""

# Major library imports
from numpy import linspace, meshgrid, pi, sin

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, jet, 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 a scalar field to colormap
    xbounds = (-2*pi, 2*pi, 600)
    ybounds = (-1.5*pi, 1.5*pi, 300)
    xs = linspace(*xbounds)
    ys = linspace(*ybounds)
    x, y = meshgrid(xs,ys)
    z = sin(x)*y

    # Create a plot data obect and give it this data
    pd = ArrayPlotData()
    pd.set_data("imagedata", z)

    # Create the plot
    plot = Plot(pd)
    img_plot = plot.img_plot("imagedata", 
                             xbounds = xbounds[:2],
                             ybounds = ybounds[:2],
                             colormap=jet)[0]

    # Tweak some of the plot properties
    plot.title = "My First Image Plot"
    plot.padding = 50

    # Attach some tools to the plot
    plot.tools.append(PanTool(plot))
    zoom = ZoomTool(component=plot, tool_mode="box", always_on=False)
    plot.overlays.append(zoom)
    imgtool = ImageInspectorTool(img_plot)
    img_plot.tools.append(imgtool)
    overlay = ImageInspectorOverlay(component=img_plot, image_inspector=imgtool,
                                    bgcolor="white", border_visible=True)

    img_plot.overlays.append(overlay)
    return plot

#===============================================================================
# Attributes to use for the plot view.
size = (800, 600)
title="Inspecting a Colormapped Image Plot"
        
#===============================================================================
# # 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), 
                             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())
    
if __name__ == "__main__":
    demo_main(PlotFrame, size=size, title=title)

#--EOF---