#!/usr/bin/env python
""" Basic x-y log plots.

Draws some x-y log plots. (No Tools)

"""

# Major library imports
from numpy import exp, linspace, sqrt
from scipy.special import gamma

# Enthought library imports
from enable.api import Component, ComponentEditor
from traits.api import HasTraits, Instance
from traitsui.api import Item, Group, View

# Chaco imports
from chaco.api import ArrayPlotData, Plot
from chaco.tools.api import PanTool, ZoomTool

# ===============================================================================
# # Create the Chaco plot.
# ===============================================================================
def _create_plot_component():

    # Create some x-y data series to plot
    x = linspace(1.0, 8.0, 200)
    pd = ArrayPlotData(index=x)
    pd.set_data("y0", sqrt(x))
    pd.set_data("y1", x)
    pd.set_data("y2", x ** 2)
    pd.set_data("y3", exp(x))
    pd.set_data("y4", gamma(x))
    pd.set_data("y5", x ** x)

    # Create some line plots of some of the data
    plot = Plot(pd)
    plot.plot(("index", "y0"), line_width=2, name="sqrt(x)", color="purple")
    plot.plot(("index", "y1"), line_width=2, name="x", color="blue")
    plot.plot(("index", "y2"), line_width=2, name="x**2", color="green")
    plot.plot(("index", "y3"), line_width=2, name="exp(x)", color="gold")
    plot.plot(("index", "y4"), line_width=2, name="gamma(x)", color="orange")
    plot.plot(("index", "y5"), line_width=2, name="x**x", color="red")

    # Set the value axis to display on a log scale
    plot.value_scale = "log"

    # Tweak some of the plot properties
    plot.title = "Log Plot"
    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 = (900, 500)
title = "Basic x-y log plots"

# ===============================================================================
# # 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()

if __name__ == "__main__":
    demo.configure_traits()