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Viewing changes to examples/tutorials/scipy2008/connected_widgets.py

  • Committer: Package Import Robot
  • Author(s): Andrew Starr-Bochicchio
  • Date: 2014-06-01 17:04:08 UTC
  • mfrom: (7.2.5 sid)
  • Revision ID: package-import@ubuntu.com-20140601170408-m86xvdjd83a4qon0
Tags: 4.4.1-1ubuntu1
* Merge from Debian unstable. Remaining Ubuntu changes:
 - Let the binary-predeb target work on the usr/lib/python* directory
   as we don't have usr/share/pyshared anymore.

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examples/tutorials/scipy2008/connected_widgets.py
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from numpy import linspace, sin
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from chaco.api import ArrayPlotData, Plot
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from chaco.tools.api import PanTool, ZoomTool
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from enable.component_editor import ComponentEditor
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from traits.api import Enum, HasTraits, Instance
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from traitsui.api import Item, View
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class PlotEditor(HasTraits):
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    plot = Instance(Plot)
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    plot_type = Enum("scatter", "line")
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    orientation = Enum("horizontal", "vertical")
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    traits_view = View(Item('orientation', label="Orientation"),
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                       Item('plot', editor=ComponentEditor(), show_label=False),
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                       width=500, height=500, resizable=True,
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                       title="Chaco Plot")
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    def __init__(self, *args, **kw):
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        HasTraits.__init__(self, *args, **kw)
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        # Create the data and the PlotData object
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        x = linspace(-14, 14, 100)
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        y = sin(x) * x**3
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        plotdata = ArrayPlotData(x = x, y = y)
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        # Create the scatter plot
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        plot = Plot(plotdata)
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        plot.plot(("x", "y"), type=self.plot_type, color="blue")
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        plot.tools.append(PanTool(plot))
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        plot.tools.append(ZoomTool(plot))
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        self.plot = plot
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    def _orientation_changed(self):
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        if self.orientation == "vertical":
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            self.plot.orientation = "v"
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        else:
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            self.plot.orientation = "h"
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if __name__ == "__main__":
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    # Create the two plots
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    scatter = PlotEditor(plot_type = "scatter")
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    line = PlotEditor(plot_type = "line")
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    # Hook up their ranges
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    scatter.plot.range2d = line.plot.range2d
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    # Bring up both plots by calling edit_traits().  (We call configure_traits()
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    # on the second one so that the application main loop stays running.)
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    line.edit_traits()
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    scatter.configure_traits()
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