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This release is a pre-release and may not be stable for production use.

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The TraitsUI project contains a toolkit-independent GUI abstraction layer, which is used to support the “visualization” features of the Traits package. Thus, you can write model in terms of the Traits API and specify a GUI in terms of the primitives supplied by TraitsUI (views, items, editors, etc.), and let TraitsUI and your selected toolkit and back-end take care of the details of displaying them.

Example

Given a Traits model like the following:

from traits.api import HasTraits, Str, Range, Enum

class Person(HasTraits):
    name = Str('Jane Doe')
    age = Range(low=0)
    gender = Enum('female', 'male')

person = Person(age=30)

we can use TraitsUI to specify a and display a GUI view:

from traitsui.api import Item, RangeEditor, View

person_view = View(
    Item('name'),
    Item('gender'),
    Item('age', editor=RangeEditor(mode='spinner', low=0, high=150)),
    buttons=['OK', 'Cancel'],
    resizable=True,
)

person.configure_traits(view=person_view)

which creates a GUI which looks like this:

https://raw.github.com/enthought/traitsui/master/README_example.png

Installation

If you want to run traitsui, you must also install:

You will also need one of the following backends:

  • PyQt

  • wxPython

  • PySide

  • PyQt5

Backends have additional dependencies and there are optional dependencies on NumPy and Pandas for some editors.

TraitsUI along with all dependencies can be installed in a straightforward way using the Enthought Deployment Manager, pip or other .

Metadata

Release files for traitsui 7.1.0rc2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

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Source distribution for traitsui 7.1.0rc2
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