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MPLTraits_qt.py
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MPLTraits_qt.py
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import PyQt4
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
from traitsui.api import View, Item
from numpy import sin, cos, linspace, pi
class Test(HasTraits):
figure = Instance(Figure, ())
view = View(
Item("figure", editor=MPLFigureEditor(), show_label=False),
width=400,
height=300,
resizable=True,
)
def __init__(self):
super(Test, self).__init__()
axes = self.figure.add_subplot(111)
t = linspace(0, 2 * pi, 200)
axes.plot(
sin(t) * (1 + 0.5 * cos(11 * t)), cos(t) * (1 + 0.5 * cos(11 * t))
)
Test().configure_traits()