traitsui

问题 I need to update the dictionary of a mapped trait some time after initial trait creation. How do I do this? The following code: from traits.api import (HasTraits, Trait) class bar(HasTraits): zap = Trait("None", {"None": None}) def __init__(self): # In reality, determined programmatically at runtime. add_dict_entries = {"One": 1} new_dict = {"None": None} new_dict.update(add_dict_entries) self.zap = Trait("None", new_dict) theBar = bar() yields: Traceback (most recent call last): File "tst

问题 I would like to listen to changes in the transfer function in how the color and opacity (ctf/otf) of my data is represented. Listening to sensible-sounding traits such as mayavi.modules.volume.Volume._ctf does not trigger my callback. I would expect this to be changed by the user either through the "standard" mayavi pipeline display (as part of EngineRichView) or through including the Volume object's view directly. No such luck either way. It is maybe telling that when you press the big red

问题 I'm trying to freeze with either cx_freeze or pyInstaller a TraitsUI program that makes use of Chaco, Traits, TraitsUI and to a lesser extent mayavi (could actually be taken out). I need this to run on mac, linux, ubuntu so am avoiding py2exe. I've intentionally uninstalled pyqt and pyside so that only the wx backend is available. Using cx_freeze, I encountered and reported a bug, so pyInstaller seems to be getting me the furthest. It generated an .exe file, but when I run the file I get

问题 I'm seeing Python class attributes incorrectly assigned the value, None , in Sphinx autodoc generated documentation, when Traits are used. I have a simple test case with instructions for observing the error, here: https://github.com/capn-freako/SphinxTest It shows that: When object is used as the superclass, and int is the class attribute's type, the generated documentation is as expected. When HasTraits is used as the superclass and Int is the class attribute's type, the generated

问题 I'm designing a HasTraits subclass with dependent properties: #!/usr/bin/env python # Example for SO question on dynamically changing Dict contents. from traits.api import HasTraits, Dict, Property, Trait, Int, cached_property from traitsui.api import View, Item class Foo(HasTraits): "Has dependent properties, which I'd like to remain up-to-date in the GUI." _dicts = [ {"zero": 0, "one": 1}, {"zero": 1, "one": 2}, {"zero": 2, "one": 3}, ] zap = Int(0) bar = Property(Trait, depends_on=["zap"])

问题 Is there a way to reference items in a dictionary in traitsui views? In other words, is there a way to do what I mean with the following, using a Dict trait: from traits.api import * from traitsui.api import * from traitsui.ui_editors.array_view_editor import ArrayViewEditor import numpy as np class SmallPartOfLargeApplication(HasTraits): a=Dict def _a_default(self): return {'a_stat':np.random.random((10,1)), 'b_stat':np.random.random((10,10))} traits_view=View( Item('a.a_stat',editor

问题 I'm using Traits 4 to build a simple interactive GUI application. This application will display a timestamped log of events in a dedicated part of the GUI. This log is currently stored as a String trait. The default editor (or View? Not sure on the exact nomenclature) for a String trait is a scrollable multi-line display widget. When the internal string value is changed, the widget updates to display the new value. If the length of the content exceeds the viewable size of the widget, then a

问题 I have a Traits and Mayavi script that presents an mlab scene and several traits editors. The editors affect what data is shown in a surface , quiver3d and legend (Scalar LUT Manager) by calling my drawing method. Each change triggers a clear figure and re-draw. Learning from the Mlab interactive dialog example the plot3d * uses mlab_source.set to change the data without clearing the figure and re-drawing. In update_plot(): if self.plot is None: self.plot = self.scene.mlab.plot3d(x, y, z, t,

问题 Using Enthought Canopy's TraitsUI, I'm using TabularAdapters to display some Arrays, but they always produce evenly proportioned column widths...I'd like to make some widths smaller than others, but haven't found any simple way yet...Anyone have any suggestions? 回答1: One way to control the widths of the columns is to override the get_width() method of the TabularArrayAdapter . For example, import numpy as np from traits.api import HasTraits, Array from traitsui.api import View, Item,

问题 i have a main HasTraits class which contains several Instance's of other HasTraits objects. I would like to define an Item in the view of the main object which points to a trait of a nested object. for example: class Person(HasTraits): name = String() class Pet(HasTraits): name = String() class Family(HasTraits): father = Instance(Person,()) dog = Instance(Pet,()) view = View( Item('father.name'), Item('dog.name'), ) is this possible? thanks! 回答1: Somebody named Alex asked this question 1