Question

我正在尝试使用TraitsUI构建交互式图像查看器。这可以使用Pierre Haessig共享的实现来完成。

接下来，我想同时展示其中的许多视图。概述了类似的方法here。但是，我无法让这种方法适用于我手边的问题。构建这样的容器会引发AttributeError: 'Test' object has no attribute 'dpi'。我想我误解了编辑在这种情况下是如何工作的，但我无法弄清楚如何让它发挥作用。

Runnable示例代码：

# By Pierre Haessig, https://gist.github.com/pierre-haessig/9838326
from pyface.qt import QtGui, QtCore

import matplotlib
# We want matplotlib to use a QT backend
matplotlib.use('Qt4Agg')
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure

from traits.api import Any, Instance
from traitsui.qt4.editor import Editor
from traitsui.qt4.basic_editor_factory import BasicEditorFactory

class _MPLFigureEditor(Editor):

    scrollable  = True

    def init(self, parent):
        self.control = self._create_canvas(parent)
        self.set_tooltip()

    def update_editor(self):
        pass

    def _create_canvas(self, parent):
        """ Create the MPL canvas. """
        # matplotlib commands to create a canvas
        mpl_canvas = FigureCanvas(self.value)
        return mpl_canvas

class MPLFigureEditor(BasicEditorFactory):

    klass = _MPLFigureEditor


if __name__ == "__main__":
    # Create a window to demo the editor
    from traits.api import HasTraits, Int, Float, on_trait_change
    from traitsui.api import View, Item
    from numpy import sin, cos, linspace, pi

    class Test(HasTraits):

        figure = Instance(Figure, ())
        n = Int(11)
        a = Float(0.5)

        view = View(Item('figure', editor=MPLFigureEditor(), show_label=False),
                    Item('n'),
                    Item('a'),
                    width=400,
                    height=300,
                    resizable=True)

        def __init__(self):
                super(Test, self).__init__()
                axes = self.figure.add_subplot(111)
                self._t = linspace(0, 2*pi, 200)
                self.plot()

        @on_trait_change('n,a')
        def plot(self):
            t = self._t
            a = self.a
            n = self.n
            axes = self.figure.axes[0]
            if not axes.lines:
                axes.plot(sin(t)*(1+a*cos(n*t)), cos(t)*(1+a*cos(n*t)))
            else:
                l = axes.lines[0]
                l.set_xdata(sin(t)*(1+a*cos(n*t)))
                l.set_ydata(cos(t)*(1+a*cos(n*t)))
            canvas = self.figure.canvas
            if canvas is not None:
                canvas.draw()

    ##############
    # This works #
    ##############
    t = Test()
    t.configure_traits()

    class Container(HasTraits):
        p1 = Instance(Test)
        p2 = Instance(Test)

        view = View(
            Item("p1", editor=MPLFigureEditor()),
            Item("p2", editor=MPLFigureEditor())
            )

    ##############
    # This fails #
    ##############
    c = Container(p1=Test(), p2=Test())
    c.configure_traits()

Answer 1

Test类本身不是matplotlib图形，这就是为什么为editor=MPLFigureEditor()和p1指定p2会导致错误的原因。如果您改为设置style='custom'，则两个数字都会出现。

class Container(HasTraits):
    p1 = Instance(Test)
    p2 = Instance(Test)

    view = View(
        Item("p1", style='custom'),
        Item("p2", style='custom')
        )

组合包含matplotlib的多个TraitsUi视图数字

1 个答案: