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The main executable file for the zoom_plot demo.
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Right-click and drag on the upper plot to select a region to view in detail
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in the lower plot. The selected region can be moved around by dragging,
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or resized by clicking on one of its edges and dragging. The ZoomPlot class
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encapsulates the creation of a zoom plot and exposes some of the attributes and
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methods necessary for deep interaction with the plot.
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# Standard library imports
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# Major library imports
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from numpy import sin, pi, linspace
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from enable.api import Component, ComponentEditor
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from traits.api import HasTraits, Instance
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from traitsui.api import Item, Group, View
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from traits.util.resource import find_resource
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from chaco.api import VPlotContainer, ArrayPlotData, Plot, PlotGrid, PlotAxis
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from chaco.tools.api import RangeSelection
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from zoom_overlay import ZoomOverlay
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sample_path = os.path.join('examples','data','sample.wav')
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alt_path = os.path.join('..','data','sample.wav')
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fname = find_resource('Chaco', sample_path, alt_path=alt_path,
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def read_music_data():
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from wav_to_numeric import wav_to_numeric
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index, data = wav_to_numeric(fname)
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return index[:numpts], data[:numpts]
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class ZoomPlot(HasTraits):
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'''Encapsulation of the zoom plot concept.
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This class organzies the data, plot container and ZoomOverlay required for
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a zoom plot. ZoomPlot represents the first step towards a reusable and
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extensible generalization of the zoom plot.
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data = Instance(ArrayPlotData)
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plot = Instance(Component)
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def update_data(self, x, y):
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'''Update the data in the plot windows'''
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# FIXME: This isn't forcing the update, so the crufty code below is used.
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#self.plot.data['x'] = x
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#self.plot.data['y'] = y
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self.plot.components[0].index.set_data(x)
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self.plot.components[0].value.set_data(y)
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self.plot.components[1].index.set_data(x)
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self.plot.components[1].value.set_data(y)
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def _data_default(self):
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x = linspace(0, 4*pi, 1201)
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data = ArrayPlotData(x=x, y=y)
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def _plot_default(self):
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plotter = Plot(data=self.data)
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main_plot = plotter.plot(['x','y'])[0]
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self.configure_plot(main_plot, xlabel='')
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plotter2 = Plot(data=self.data)
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zoom_plot = plotter2.plot(['x','y'])[0]
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self.configure_plot(zoom_plot)
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outer_container = VPlotContainer(padding=20,
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stack_order='top_to_bottom',
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outer_container.add(main_plot)
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outer_container.add(zoom_plot)
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# FIXME: This is set to the windows bg color. Should get from the system.
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#outer_container.bgcolor = (236/255., 233/255., 216/255., 1.0)
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main_plot.controller = RangeSelection(main_plot)
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zoom_overlay = ZoomOverlay(source=main_plot, destination=zoom_plot)
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outer_container.overlays.append(zoom_overlay)
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return outer_container
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def configure_plot(plot, xlabel='Time (s)'):
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""" Set up colors, grids, etc. on plot objects.
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plot.bgcolor = 'white'
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plot.border_visible = True
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plot.padding = [40, 15, 15, 20]
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plot.color = 'darkred'
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plot.line_width = 1.1
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vertical_grid = PlotGrid(component=plot,
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mapper=plot.index_mapper,
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orientation='vertical',
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use_draw_order = True)
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horizontal_grid = PlotGrid(component=plot,
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mapper=plot.value_mapper,
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orientation='horizontal',
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use_draw_order = True)
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vertical_axis = PlotAxis(orientation='left',
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mapper=plot.value_mapper,
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use_draw_order = True)
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horizontal_axis = PlotAxis(orientation='bottom',
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mapper=plot.index_mapper,
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use_draw_order = True)
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plot.underlays.append(vertical_grid)
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plot.underlays.append(horizontal_grid)
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# Have to add axes to overlays because we are backbuffering the main plot,
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# and only overlays get to render in addition to the backbuffer.
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plot.overlays.append(vertical_axis)
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plot.overlays.append(horizontal_axis)
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#===============================================================================
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# Attributes to use for the plot view.
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#===============================================================================
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# # Demo class that is used by the demo.py application.
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#===============================================================================
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class ZoomPlotView(HasTraits):
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zoom_plot = Instance(ZoomPlot, ())
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Item('object.zoom_plot.plot', editor=ComponentEditor(size=size),
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orientation = "vertical"),
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resizable=True, title='Zoom Plot',
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width=size[0], height=size[1]
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demo = ZoomPlotView()
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# Configure the zoom plot by giving it data
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x,y = read_music_data()
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demo.zoom_plot.update_data(x, y)
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if __name__ == "__main__":
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demo.configure_traits()
added
removed
examples/demo/zoomed_plot/zoom_plot.py
