def _create_viewport(self):
# Create a container and add our plots
canvas = PlotCanvas()
canvas.range_controller = RangeController(cavas = canvas)
toolbar = make_toolbar(canvas)
toolbar.component = canvas
canvas.overlays.append(toolbar)
viewport = Viewport(component=canvas)
if MULTITOUCH:
viewport.tools.append(MPViewportPanTool(viewport))
else:
viewport.tools.append(ViewportPanTool(viewport, drag_button="right"))
return viewport
def _create_viewport(self):
# Create a container and add our plots
canvas = PlotCanvas()
canvas.range_controller = RangeController(cavas = canvas)
toolbar = make_toolbar(canvas)
toolbar.component = canvas
canvas.overlays.append(toolbar)
viewport = Viewport(component=canvas)
if MULTITOUCH:
viewport.tools.append(MPViewportPanTool(viewport))
else:
viewport.tools.append(ViewportPanTool(viewport, drag_button="right"))
return viewport
def init(self, parent):
""" Finishes initializing the editor by creating the underlying toolkit
widget.
"""
# Make sure the model we'll be editing exists:
object = self.object
model = getattr(object, '_hidden_model', None)
if model is None:
object._hidden_model = model = NumericObjectModel(object)
# Get the list of traits to plot:
factory = self.factory
type = factory.type
index = factory.index
names = factory.names
if len(names) == 0:
names = [
name for name in object.trait_names()
if object.base_trait(name).array
]
idx = getattr(object, index, None)
if idx is None:
plot_index = PlotValue(arange(0.0, len(model.model_indices)))
selection_index = None
else:
plot_index = PlotValue(ModelData(model=model).set(name=index))
selection_index = PlotValue(
SelectionData(model=model).set(name=index))
canvas = PlotCanvas(plot_type=factory.type, bg_color=BGColor)
canvas.axis_index = PlotAxis()
if idx is not None:
canvas.axis_index.title = index
if len(names) == 1:
canvas.axis = PlotAxis(title=names[0])
for name in names:
canvas.add(
PlotValue(ModelData(model=model).set(name=name),
index=plot_index,
plot_type=type,
size='small'))
if selection_index is not None:
plot_value = PlotValue(
SelectionData(model=model).set(name=name),
index=selection_index,
plot_type='scatter',
fill_color='red',
size='small')
canvas.add(plot_value)
# Set up the interactive data filters:
if selection_index is not None:
canvas.interaction = ia = \
NumericModelExplorerInteraction( value = plot_value )
ia._filters = filters = []
for name in names:
sm = model.get_selection_model()
sm.model_filter = PolygonFilter(x_value=index, y_value=name)
filters.append(sm.model_filter)
ia.on_trait_change(self.interaction_complete, 'points')
self.control = Window(
parent, component=PlotComponent(component=canvas)).control
def init ( self, parent ):
""" Finishes initializing the editor by creating the underlying toolkit
widget.
"""
# Make sure the model we'll be editing exists:
object = self.object
model = getattr( object, '_hidden_model', None )
if model is None:
object._hidden_model = model = NumericObjectModel( object )
# Get the list of traits to plot:
factory = self.factory
type = factory.type
index = factory.index
names = factory.names
if len( names ) == 0:
names = [ name for name in object.trait_names()
if object.base_trait( name ).array ]
idx = getattr( object, index, None )
if idx is None:
plot_index = PlotValue( arange( 0.0, len( model.model_indices ) ) )
selection_index = None
else:
plot_index = PlotValue( ModelData( model = model ).set(
name = index ) )
selection_index = PlotValue( SelectionData( model = model ).set(
name = index ) )
canvas = PlotCanvas( plot_type = factory.type,
bg_color = BGColor )
canvas.axis_index = PlotAxis()
if idx is not None:
canvas.axis_index.title = index
if len( names ) == 1:
canvas.axis = PlotAxis( title = names[0] )
for name in names:
canvas.add( PlotValue( ModelData( model = model ).set(
name = name ),
index = plot_index,
plot_type = type,
size = 'small' ) )
if selection_index is not None:
plot_value = PlotValue( SelectionData( model = model ).set(
name = name ),
index = selection_index,
plot_type = 'scatter',
fill_color = 'red',
size = 'small' )
canvas.add( plot_value )
# Set up the interactive data filters:
if selection_index is not None:
canvas.interaction = ia = \
NumericModelExplorerInteraction( value = plot_value )
ia._filters = filters = []
for name in names:
sm = model.get_selection_model()
sm.model_filter = PolygonFilter( x_value = index,
y_value = name )
filters.append( sm.model_filter )
ia.on_trait_change( self.interaction_complete, 'points' )
self.control = Window( parent, component = PlotComponent(
component = canvas ) ).control
def create_plot ( parent, editor ):
""" Creates a data explorer plot.
"""
try:
nmep = editor.object
model = nmep.model
items = nmep.plot_items
if len( items ) == 0:
return wx.Panel( parent, -1 )
index = nmep.plot_index
if index is None:
plot_index = PlotValue( arange( 0.0, len( model.model_indices ) ) )
selection_index = None
else:
plot_index = PlotValue( ModelData( model = model,
name = index.name ) )
selection_index = PlotValue( SelectionData( model = model,
name = index.name ) )
canvas = PlotCanvas( plot_type = items[0].plot_type,
plot_bg_color = items[0].canvas_color )
canvas.axis_index = PlotAxis()
if index is not None:
canvas.axis_index.title = index.label
if len( items ) == 1:
canvas.axis = PlotAxis( title = items[0].label )
else:
canvas.add( PlotGroup(
overlay = True,
position = 'top right',
*[ PlotOverlay( legend_color = item.line_color,
text = item.label,
border_size = 0,
bg_color = transparent,
margin = 0,
padding = 2 )
for item in items ] ) )
for item in items:
canvas.add( PlotValue( ModelData( model = model ).set(
name = item.name ),
index = plot_index,
plot_type = item.plot_type,
line_weight = item.line_weight,
line_color = item.line_color,
fill_color = item.fill_color,
outline_color = item.outline_color,
size = 'small' ) )
if selection_index is not None:
plot_value = PlotValue( SelectionData( model = model ).set(
name = item.name ),
index = selection_index,
plot_type = 'scatter',
size = item.selection_size,
fill_color = item.selection_color )
canvas.add( plot_value )
# Set up the interactive data filters:
if selection_index is not None:
canvas.interaction = nmep._interaction = ia = \
NumericModelExplorerInteraction( value = plot_value )
nmep._selection_models = sms = []
ia._filters = filters = []
for item in items:
sm = model.get_selection_model()
sms.append( sm )
sm.model_filter = PolygonFilter( x_value = index.name,
y_value = item.name )
filters.append( sm.model_filter )
ia.on_trait_change( editor.ui.handler.interaction_complete,
'points' )
if len( nmep.polygon ) > 0:
do_later( ia.set_selection, nmep.polygon )
return Window( parent,
component = PlotComponent( component = canvas ) ).control
except:
import traceback
traceback.print_exc()
raise
def create_plot(parent, editor):
""" Creates a data explorer plot.
"""
try:
nmep = editor.object
model = nmep.model
items = nmep.plot_items
if len(items) == 0:
return wx.Panel(parent, -1)
index = nmep.plot_index
if index is None:
plot_index = PlotValue(arange(0.0, len(model.model_indices)))
selection_index = None
else:
plot_index = PlotValue(ModelData(model=model, name=index.name))
selection_index = PlotValue(
SelectionData(model=model, name=index.name))
canvas = PlotCanvas(plot_type=items[0].plot_type,
plot_bg_color=items[0].canvas_color)
canvas.axis_index = PlotAxis()
if index is not None:
canvas.axis_index.title = index.label
if len(items) == 1:
canvas.axis = PlotAxis(title=items[0].label)
else:
canvas.add(
PlotGroup(overlay=True,
position='top right',
*[
PlotOverlay(legend_color=item.line_color,
text=item.label,
border_size=0,
bg_color=transparent,
margin=0,
padding=2) for item in items
]))
for item in items:
canvas.add(
PlotValue(ModelData(model=model).set(name=item.name),
index=plot_index,
plot_type=item.plot_type,
line_weight=item.line_weight,
line_color=item.line_color,
fill_color=item.fill_color,
outline_color=item.outline_color,
size='small'))
if selection_index is not None:
plot_value = PlotValue(
SelectionData(model=model).set(name=item.name),
index=selection_index,
plot_type='scatter',
size=item.selection_size,
fill_color=item.selection_color)
canvas.add(plot_value)
# Set up the interactive data filters:
if selection_index is not None:
canvas.interaction = nmep._interaction = ia = \
NumericModelExplorerInteraction( value = plot_value )
nmep._selection_models = sms = []
ia._filters = filters = []
for item in items:
sm = model.get_selection_model()
sms.append(sm)
sm.model_filter = PolygonFilter(x_value=index.name,
y_value=item.name)
filters.append(sm.model_filter)
ia.on_trait_change(editor.ui.handler.interaction_complete,
'points')
if len(nmep.polygon) > 0:
do_later(ia.set_selection, nmep.polygon)
return Window(parent,
component=PlotComponent(component=canvas)).control
except:
import traceback
traceback.print_exc()
raise
