#!/usr/bin/env python
"""
This plot displays chaco's ability to handle data interlaced with NaNs.
 - 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 linspace, nan
from scipy.special import jn

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 

#===============================================================================
# # Create the Chaco plot.
#===============================================================================
def _create_plot_component():
    
    # Create some x-y data series (with NaNs) to plot
    x = linspace(-5.0, 15.0, 500)
    x[75:125] = nan
    x[200:250] = nan
    x[300:330] = nan
    pd = ArrayPlotData(index = x)
    pd.set_data("value1", jn(0, x))
    pd.set_data("value2", jn(1, x))

    # Create some line and scatter plots of the data
    plot = Plot(pd)
    plot.plot(("index", "value1"), name="j_0(x)", color="red", width=2.0)
    plot.plot(("index", "value2"), type="scatter", marker_size=1,
              name="j_1(x)", color="green")

    # Tweak some of the plot properties
    plot.title = "Plots with NaNs"
    plot.padding = 50
    plot.legend.visible = True

    # 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)

    return plot

#===============================================================================
# Attributes to use for the plot view.
size = (800, 700)
title = "Nan Test"
        
#===============================================================================
# # 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---