/usr/lib/python2.7/dist-packages/chaco/chaco_plot_editor.py is in python-chaco 4.5.0-1.
This file is owned by root:root, with mode 0o644.
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Traits UI editor for WX, based on the Chaco1 PlotEditor in
traits.ui.wx.plot_editor.
"""
# Enthought library imports
from traits.etsconfig.api import ETSConfig
from enable.api import black_color_trait, LineStyle, ColorTrait,\
white_color_trait, MarkerTrait, Window
from enable.trait_defs.ui.api import RGBAColorEditor
from kiva.trait_defs.kiva_font_trait import KivaFont
from traits.api import Enum, Str, Range, Tuple, \
Bool, Trait, Int, Any, Property
from traitsui.api import Item
from traitsui.editor_factory import EditorFactory
# Toolkit dependent imports
from traitsui.toolkit import toolkit_object
Editor = toolkit_object('editor:Editor')
# Local relative imports
from axis import PlotAxis
from plot_containers import OverlayPlotContainer
from plot_factory import create_line_plot, create_scatter_plot, \
add_default_grids, add_default_axes
from plot_label import PlotLabel
# Somewhat unorthodox...
from chaco.tools.api import PanTool, ZoomTool
#-------------------------------------------------------------------------------
# Trait definitions:
#-------------------------------------------------------------------------------
# Range of values for an axis.
AxisRange = Tuple( ( 0.0, 1.0, 0.01 ),
labels = [ 'Low', 'High', 'Step' ],
cols = 3 )
# Range of axis bounds.
AxisBounds = Tuple( ( 0.0, 1.0 ),
labels = [ 'Min', 'Max' ],
cols = 2 )
# Range for the height and width for the plot widget.
PlotSize = Range( 50, 1000, 180 )
# Range of plot line weights.
LineWeight = Range( 1, 9, 3 )
# The color editor to use for various color traits.
color_editor = RGBAColorEditor()
USE_DATA_UPDATE = 1
class ChacoPlotItem(Item):
""" A Traits UI Item for a Chaco plot, for use in Traits UI Views.
NOTE: ComponentEditor is preferred over this class, as it is more flexible.
"""
# Name of the trait that references the index data source.
index = Str
# Name of the trait that references the value data source.
value = Str
# Title of the plot (overlaid on the plot container).
title = Str("Plot Editor")
# Bounds of the x-axis, used if **x_auto** is False.
x_bounds = AxisBounds
# Set the x-axis bounds automatically?
x_auto = Bool(True)
# Bounds of the y-axis, used if **y_auto** is False.
y_bounds = AxisBounds
# Set the y-axis bounds automatically?
y_auto = Bool(True)
# The orientation of the index axis.
orientation = Enum("h", "v")
# If these are None, then the index/value trait names are used
# Label of the x-axis; if None, the **index** name is used.
x_label = Trait(None, None, Str)
# Name of the trait on the object containing the label of the x-axis.
# This takes precedence over **x_label**.
x_label_trait = Trait(None, None, Str)
# Font for the label of the x-axis.
x_label_font = KivaFont("modern 10")
# Color of the label of the x-axis.
x_label_color = black_color_trait
# Label of the y-axis; if None, the **value** name is used.
y_label = Trait(None, None, Str)
# Name of the trait on the object containing the label of the y-axis.
# This takes precedence over **y_label**.
y_label_trait = Trait(None, None, Str)
# Font for the label of the y-axis.
y_label_font = KivaFont("modern 10")
# Color of the label of the y-axis.
y_label_color = black_color_trait
# General plot properties
# Foreground olor of the plot.
color = ColorTrait("blue")
# Background color of the plot.
bgcolor = white_color_trait
# Background color of the plot (deprecated).
bg_color = Property # backwards compatibility; deprecated
# Color of the background padding.
padding_bg_color = ColorTrait("sys_window")
# Border properties
# Width of the plot border
border_width = Int(1)
# Is the border visible?
border_visible = Bool(False)
# Line style of the border.
border_dash = LineStyle
# Color of the border.
border_color = black_color_trait
# The type of the plot.
type = Enum("line", "scatter")
# The type of the plot as a string.
type_trait = Str
# plot-specific properties. These might not apply to all plot types.
# Type of marker (for plots that use markers).
marker = MarkerTrait
# Size of marker (for plots that use markers).
marker_size = Int(4)
# Marker outline color (for plots that user markers).
outline_color = black_color_trait
def __init__(self, index, value, type="line", **traits):
self.index = index
self.value = value
self.type = type
self.name = index
super(ChacoPlotItem, self).__init__(**traits)
self.editor = ChacoEditorFactory()
self.editor.plotitem = self
return
def _set_bg_color(self, val):
self.bgcolor = val
def _get_bg_color(self):
return self.bgcolor
class ChacoEditorFactory ( EditorFactory ):
""" Editor factory for plot editors.
"""
#---------------------------------------------------------------------------
# Trait definitions:
#---------------------------------------------------------------------------
# Width of the plot editor.
width = PlotSize
# Height of the plot editor.
height = PlotSize
# The ChacoPlotItem associated with this factory.
plotitem = Any
#---------------------------------------------------------------------------
# 'Editor' factory methods:
#---------------------------------------------------------------------------
def simple_editor ( self, ui, object, name, description, parent ):
return ChacoPlotEditor( parent,
factory = self,
ui = ui,
object = object,
name = name,
description = description )
def text_editor ( self, ui, object, name, description, parent ):
return ChacoPlotEditor( parent,
factory = self,
ui = ui,
object = object,
name = name,
description = description )
def readonly_editor ( self, ui, object, name, description, parent ):
return ChacoPlotEditor( parent,
factory = self,
ui = ui,
object = object,
name = name,
description = description )
class ChacoPlotEditor ( Editor ):
""" Traits UI editor for displaying trait values in a Chaco plot.
"""
#---------------------------------------------------------------------------
# Finishes initializing the editor by creating the underlying toolkit
# widget:
#---------------------------------------------------------------------------
def init ( self, parent ):
""" Finishes initializing the editor by creating the underlying toolkit
widget.
"""
factory = self.factory
plotitem = factory.plotitem
container = OverlayPlotContainer(padding = 50, fill_padding = True,
bgcolor = plotitem.padding_bg_color,
use_backbuffer=True)
if plotitem.title != '':
container.overlays.append(PlotLabel(plotitem.title,
component=container,
overlay_position="top"))
self._container = container
window = Window(parent, component = container)
# FIXME: Toolkit specifc code here. The AbstractWindow should have a
# 'set size' method as part of its API.
self.control = control = window.control
if ETSConfig.toolkit == 'wx':
control.SetSize((factory.width, factory.height))
elif ETSConfig.toolkit == 'qt4':
control.resize(factory.width, factory.height)
else:
raise NotImplementedError
# Attach listeners to the object's traits appropriately so we can
# update the plot when they change. For the _update_axis_grids()
# callback, we have to wrap it in a lambda to keep traits from
# inferring the calling convention based on introspecting the argument
# list.
object = self.object
if USE_DATA_UPDATE == 1:
for name in (plotitem.index, plotitem.value):
object.on_trait_change( self._update_data, name)
for name in (plotitem.x_label_trait, plotitem.y_label_trait):
object.on_trait_change(lambda s: self._update_axis_grids(), name)
if plotitem.type_trait not in ("", None):
object.on_trait_change(self.update_editor, plotitem.type_trait)
return
#---------------------------------------------------------------------------
# Disposes of the contents of an editor:
#---------------------------------------------------------------------------
def dispose(self):
""" Disposes of the contents of the editor.
"""
object = self.object
plotitem = self.factory.plotitem
if USE_DATA_UPDATE == 1:
for name in (plotitem.index, plotitem.value):
object.on_trait_change( self._update_data, name, remove = True )
for name in (plotitem.type_trait,):
object.on_trait_change( self.update_editor, name, remove = True )
self._destroy_plot()
super(ChacoPlotEditor, self).dispose()
def _destroy_plot(self):
if self._container and self._plot:
plot = self._plot
del plot.index._data
del plot.index._cached_mask
del plot.value._data
del plot.value._cached_mask
self._container.remove(plot)
self._plot = None
plot.index = None
plot.value = None
return
#---------------------------------------------------------------------------
# Updates the editor when the object trait changes externally to the editor:
#---------------------------------------------------------------------------
def update_editor(self):
""" Updates the editor when the object trait changes externally to the
editor.
"""
factory = self.factory
if factory is None:
return
plotitem = factory.plotitem
# Remove the old plot
if self._plot is not None:
self._destroy_plot()
try:
x_values = getattr(self.object, plotitem.index)
y_values = getattr(self.object, plotitem.value)
except:
self._container.request_redraw()
return
if plotitem.type_trait != "":
plot_type = getattr(self.object, plotitem.type_trait)
else:
plot_type = plotitem.type
if plotitem.x_auto == True:
index_bounds = None
else:
index_bounds = plotitem.x_bounds
if plotitem.y_auto == True:
value_bounds = None
else:
value_bounds = plotitem.y_bounds
# Class-level attribute mapping different plot_type strings to methods for
# creating different types of plots
plot_creator_map = { "line": self._create_line_plot,
"scatter": self._create_scatter_plot }
if plot_type in plot_creator_map.keys():
plot = plot_creator_map[plot_type](plotitem, (x_values, y_values),
index_bounds = index_bounds,
value_bounds = value_bounds,
orientation = plotitem.orientation)
else:
raise RuntimeError, "Unknown plot type '%s' in ChacoPlotEditor." % plot_type
self._set_basic_properties(plot, plotitem)
self._add_axis_grids(plot, plotitem)
self._plot = plot
self._container.add(plot)
self._container.request_redraw()
return
def _update_data(self):
""" Updates the editor when the object trait changes externally to the
editor.
"""
if self._plot is None:
self.update_editor()
else:
x_values = getattr(self.object, self.factory.plotitem.index)
y_values = getattr(self.object, self.factory.plotitem.value)
self._plot.index.set_data(x_values)
self._plot.value.set_data(y_values)
def _set_basic_properties(self, plot, plotitem):
for attr in ("color", "bgcolor", "border_visible", "border_width",
"border_dash", "border_color"):
setattr(plot, attr, getattr(plotitem, attr))
return
def _create_line_plot(self, plotitem, values, **kwargs):
plot = create_line_plot(values, **kwargs)
return plot
def _create_scatter_plot(self, plotitem, values, **kwargs):
plot = create_scatter_plot(values, **kwargs)
for attr in ("marker", "marker_size", "outline_color"):
setattr(plot, attr, getattr(plotitem, attr))
return plot
def _add_axis_grids(self, new_plot, plotitem):
value_axis, index_axis = add_default_axes(new_plot,
orientation=plotitem.orientation)
add_default_grids(new_plot)
new_plot.tools.append(PanTool(new_plot))
zoom = ZoomTool(component=new_plot, tool_mode="box", always_on=False)
new_plot.overlays.append(zoom)
# Update the titles and labels
self._update_axis_grids(new_plot, plotitem)
def _update_axis_grids(self, plot=None, plotitem=None):
if self.factory is None:
return
if plot is None:
if self._plot is None:
return
else:
plot = self._plot
if plotitem is None:
plotitem = self.factory.plotitem
if plotitem.x_label_trait is not None:
htitle = getattr(self.object, plotitem.x_label_trait)
elif plotitem.x_label is not None:
htitle = plotitem.x_label
else:
htitle = plotitem.index
if plotitem.y_label_trait is not None:
vtitle = getattr(self.object, plotitem.y_label_trait)
elif plotitem.y_label is not None:
vtitle = plotitem.y_label
else:
vtitle = plotitem.value
if plotitem.orientation == "v":
htitle, vtitle = vtitle, htitle
plot.x_axis.title = htitle
plot.y_axis.title = vtitle
# This is sort of crappy.. since we are using BaseXYPlots and not
# Plot/DataViews, we actually can't easily get references to the plot's
# index and value axes. So we have to search through the underlays for
# PlotAxis instances whose ranges match the index and value ranges.
for axis in plot.underlays + plot.overlays:
if isinstance(axis, PlotAxis) and axis.mapper.range is plot.index_range:
axis.title_font = plotitem.x_label_font
axis.title_color = plotitem.x_label_color
for axis in plot.underlays + plot.overlays:
if isinstance(axis, PlotAxis) and axis.mapper.range is plot.value_range:
axis.title_font = plotitem.y_label_font
axis.title_color = plotitem.y_label_color
plot.request_redraw()
return
# EOF
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