/usr/lib/python2.7/dist-packages/apptools/template/test/scatter_plot.py is in python-apptools 4.3.0-1.
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#
# A simple scatter-plot template defined as a test for the template package.
#
# Written by: David C. Morrill
# (based on the original cp.plot geo_scatter_plot.py file)
#
# Date: 07/30/2007
#
# (c) Copy 2007 by Enthought, Inc.
#
#-------------------------------------------------------------------------------
""" A simple scatter-plot template defined as a test for the template package.
"""
#-------------------------------------------------------------------------------
# Imports:
#-------------------------------------------------------------------------------
from traits.api \
import HasPrivateTraits, Undefined
from traitsui.api \
import View, VGroup, Item, Label, Theme, TextEditor
from traitsui.wx.themed_slider_editor \
import ThemedSliderEditor
from traitsui.wx.themed_text_editor \
import ThemedTextEditor
from chaco.api \
import ScatterPlot, ArrayPlotData, Plot
from chaco.tools.api \
import PanTool, SimpleZoom
from enable.api \
import ColorTrait
from chaco.scatter_markers \
import marker_trait
from apptools.template.api \
import Template, TRange, TStr, TDerived, TDataSource
from apptools.template.impl.api \
import TemplateDataSource, ValueDataNameItem
from enable_editor \
import EnableEditor
#-------------------------------------------------------------------------------
# Trait definitions:
#-------------------------------------------------------------------------------
# Template color trait:
TColor = ColorTrait( template = 'copy' )
#-------------------------------------------------------------------------------
# 'ScatterPlot' class:
#-------------------------------------------------------------------------------
class ScatterPlot ( Template ):
#-- Template Traits --------------------------------------------------------
# The plot index data source:
index = TDataSource
# The plot value data source:
value = TDataSource
# The title of the plot:
title = TStr( 'Scatter Plot' )
# The type of marker to use. This is a mapped trait using strings as the
# keys:
marker = marker_trait( template = 'copy', event = 'update' )
# The pixel size of the marker (doesn't include the thickness of the
# outline):
marker_size = TRange( 1, 5, 1, event = 'update' )
# The thickness, in pixels, of the outline to draw around the marker. If
# this is 0, no outline will be drawn.
line_width = TRange( 0.0, 5.0, 1.0 )
# The fill color of the marker:
color = TColor( 'red', event = 'update' )
# The color of the outline to draw around the marker
outline_color = TColor( 'black', event = 'update' )
#-- Derived Traits ---------------------------------------------------------
plot = TDerived # Instance( ScatterPlot )
#-- Traits UI Views --------------------------------------------------------
# The scatter plot view:
template_view = View(
VGroup(
Item( 'title',
show_label = False,
style = 'readonly',
editor = ThemedTextEditor(
theme = Theme( '@GBB', alignment = 'center' ) )
),
Item( 'plot',
show_label = False,
resizable = True,
editor = EnableEditor(),
item_theme = Theme( '@GF5', margins = 0 )
)
),
resizable = True
)
# The scatter plot options view:
options_view = View(
VGroup(
VGroup(
Label( 'Scatter Plot Options',
item_theme = Theme( '@GBB', alignment = 'center' ) ),
show_labels = False
),
VGroup(
Item( 'title', editor = TextEditor() ),
Item( 'marker' ),
Item( 'marker_size', editor = ThemedSliderEditor() ),
Item( 'line_width',
label = 'Line Width',
editor = ThemedSliderEditor() ),
Item( 'color', label = 'Fill Color' ),
Item( 'outline_color', label = 'Outline Color' ),
group_theme = Theme( '@GF5', margins = ( -5, -1 ) ),
item_theme = Theme( '@G0B', margins = 0 )
)
)
)
#-- Default Values ---------------------------------------------------------
def _index_default ( self ):
""" Returns the default value for the 'index' trait.
"""
return TemplateDataSource(
items = [ ValueDataNameItem( name = 'index',
flatten = True ) ],
description = 'Scatter Plot Index' )
def _value_default ( self ):
""" Returns the default value for the 'value' trait.
"""
return TemplateDataSource(
items = [ ValueDataNameItem( name = 'value',
flatten = True ) ],
description = 'Scatter Plot Value' )
#-- ITemplate Interface Implementation -------------------------------------
def activate_template ( self ):
""" Converts all contained 'TDerived' objects to real objects using the
template traits of the object. This method must be overridden in
subclasses.
Returns
-------
None
"""
# If our data sources are still unbound, then just exit; someone must
# have marked them as optional:
if ((self.index.context_data is Undefined) or
(self.value.context_data is Undefined)):
return
# Create a plot data object and give it this data:
pd = ArrayPlotData()
pd.set_data( 'index', self.index.context_data )
pd.set_data( 'value', self.value.context_data )
# Create the plot:
self.plot = plot = Plot( pd )
plot.plot( ( 'index', 'value' ),
type = 'scatter',
index_sort = 'ascending',
marker = self.marker,
color = self.color,
outline_color = self.outline_color,
marker_size = self.marker_size,
line_width = self.line_width,
bgcolor = 'white' )
plot.set( padding_left = 50,
padding_right = 0,
padding_top = 0,
padding_bottom = 20 )
# Attach some tools to the plot:
plot.tools.append( PanTool( plot, constrain_key = 'shift' ) )
zoom = SimpleZoom( component = plot, tool_mode = 'box',
always_on = False )
plot.overlays.append( zoom )
#-- Trait Event Handlers ---------------------------------------------------
def _update_changed ( self ):
""" Handles a plot option being changed.
"""
self.plot = Undefined
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