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from enthought.traits.api import Instance, HasTraits, Range, Array
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from enthought.traits.ui.api import View, Item, HGroup, VGroup, Group
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from enthought.enable.api import ComponentEditor
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from enthought.chaco.api import LinearMapper, Plot, ArrayDataSource, DataRange1D, PlotAxis
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from enthought.chaco.multi_array_data_source import MultiArrayDataSource
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from enthought.chaco.multi_line_plot import MultiLinePlot
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class DataModel(HasTraits):
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"""This is the data to be plotted in the demo."""
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# The x values of the data (1D numpy array).
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# The channel numbers (1D numpy array).
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# The data. The shape of this 2D array must be (y_index.size, x_index.size)
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class MultiLinePlotDemo(HasTraits):
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"""Demonstrates the MultiLinePlot.
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This demo assumes that 'model', an instance of DataModel containing the 2D
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data to be plotted, will be given to the constructor, and will not change
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model = Instance(DataModel)
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multi_line_plot_renderer = Instance(MultiLinePlot)
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# Drives multi_line_plot_renderer.normalized_amplitude
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amplitude = Range(-1.5, 1.5, value=-0.5)
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# Drives multi_line_plot_renderer.offset
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offset = Range(-1.0, 1.0, value=0)
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Item('plot', editor=ComponentEditor(), show_label=False),
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Item('amplitude', springy=True),
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Item('offset', springy=True),
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Item('object.multi_line_plot_renderer.color', springy=True),
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Item('object.multi_line_plot_renderer.line_style', springy=True),
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#-----------------------------------------------------------------------
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#-----------------------------------------------------------------------
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def _multi_line_plot_renderer_default(self):
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"""Create the default MultiLinePlot instance."""
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xs = ArrayDataSource(self.model.x_index, sort_order='ascending')
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xrange = DataRange1D()
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ys = ArrayDataSource(self.model.y_index, sort_order='ascending')
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yrange = DataRange1D()
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# The data source for the MultiLinePlot.
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ds = MultiArrayDataSource(data=self.model.data)
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multi_line_plot_renderer = \
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index_mapper = LinearMapper(range=xrange),
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value_mapper = LinearMapper(range=yrange),
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global_max = self.model.data.max(),
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global_min = self.model.data.min())
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return multi_line_plot_renderer
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def _plot_default(self):
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"""Create the Plot instance."""
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plot = Plot(title="MultiLinePlot Demo")
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plot.add(self.multi_line_plot_renderer)
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x_axis = PlotAxis(component=plot,
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mapper=self.multi_line_plot_renderer.index_mapper,
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orientation='bottom',
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y_axis = PlotAxis(component=plot,
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mapper=self.multi_line_plot_renderer.value_mapper,
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plot.overlays.extend([x_axis, y_axis])
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#-----------------------------------------------------------------------
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# Trait change handlers
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#-----------------------------------------------------------------------
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def _amplitude_changed(self, amp):
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self.multi_line_plot_renderer.normalized_amplitude = amp
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def _offset_changed(self, off):
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self.multi_line_plot_renderer.offset = off
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# FIXME: The change does not trigger a redraw. Force a redraw by
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# faking an amplitude change.
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self.multi_line_plot_renderer._amplitude_changed()
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if __name__ == "__main__":
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t = np.arange(num_samples) / fs
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channels = np.arange(12)
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# Frequencies of the sine functions in each channel.
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freqs = 3*(channels[:,None] + 1)
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y = np.sin(freqs * t)
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# Create an instance of DataModel. This is the data to
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# be plotted with a MultiLinePlot.
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data = DataModel(x_index=t, y_index=channels, data=y)
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# Create the demo class, and show it.
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demo = MultiLinePlotDemo(model=data)
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demo.configure_traits()
added
removed
examples/multi_line_plot_demo.py
