#!/usr/bin/env python
"""
Draws several overlapping line plots.  
 - 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".
 - Right-click and dragging on the legend allows you to reposition the legend.
 - Double-clicking on line or scatter plots brings up a traits editor for the 
   plot.
"""

# Major library imports
from numpy import linspace
from scipy.special import jn

from enthought.chaco.example_support import COLOR_PALETTE
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, GridContainer, Plot, PlotLabel
from enthought.chaco.tools.api import PanTool, ZoomTool



#===============================================================================
# # Create the Chaco plot.
#===============================================================================
def _create_plot_component():
    # Create a GridContainer to hold all of our plots
    container = GridContainer(padding=40, fill_padding=True,
                              bgcolor="lightgray", use_backbuffer=True,
                              shape=(2,3), spacing=(20,20))
    
    # Create the initial series of data
    x = linspace(-5, 15.0, 100)
    pd = ArrayPlotData(index = x)
    
    # Plot some bessel functions and add the plots to our container
    for i in range(6):
        pd.set_data("y" + str(i), jn(i,x))
        plot = Plot(pd)
        plot.plot(("index", "y" + str(i)), 
                  color=tuple(COLOR_PALETTE[i]), line_width=2.0,
                  bgcolor = "white", border_visible=True)

        # Tweak some of the plot properties
        plot.border_width = 1
        plot.padding = 0

        # Attach some tools to the plot
        plot.tools.append(PanTool(plot))
        zoom = ZoomTool(plot, tool_mode="box", always_on=False)
        plot.overlays.append(zoom)

        # Add to the grid container
        container.add(plot)

    # Set the upper-left plot to only be resizable vertically, and to have
    # a fixed horizontal width
    ul_plot = container.components[0]
    ul_plot.set(resizable="v", padding_top=30, width=200)
    ul_plot.overlays.append(PlotLabel("Vertically resizable", 
                                      component=ul_plot))

    # Set the bottom center plot to have a fixed width and height
    cplot = container.components[4]
    cplot.set(resizable="", padding_top = 30, bounds=[400,400])
    cplot.overlays.append(PlotLabel("Not resizable", component=cplot))
    return container

#===============================================================================
# Attributes to use for the plot view.
size=(1000,800)
title="Grid Container"    

#===============================================================================
# # 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 plot
        return Window(self, -1, component=_create_plot_component())
        
if __name__ == "__main__":
    demo_main(PlotFrame, size=size, title=title)

# EOF