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Draws a scatterplot of a set of random points of variable size.
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- This uses the non-standard renderer, VariableSizeScatterPlot
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- Left-drag pans the plot.
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- Mousewheel up and down zooms the plot in and out.
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- Pressing "z" brings up the Zoom Box, and you can click-drag a rectangular
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region to zoom. If you use a sequence of zoom boxes, pressing alt-left-arrow
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and alt-right-arrow moves you forwards and backwards through the "zoom
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# Major library imports
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# Enthought library imports
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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 chaco.api import ArrayPlotData, Plot, VariableSizeScatterPlot, \
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LinearMapper, ArrayDataSource
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from chaco.tools.api import PanTool, ZoomTool
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#===============================================================================
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# # Create the Chaco plot.
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#===============================================================================
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def _create_plot_component():
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x = numpy.arange(0, numpts)
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y = numpy.random.random(numpts)
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marker_size = numpy.random.normal(4.0, 4.0, numpts)
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# Create a plot data object and give it this data
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pd.set_data("index", x)
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pd.set_data("value", y)
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# Because this is a non-standard renderer, we can't call plot.plot, which
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# sets up the array data sources, mappers and default index/value ranges.
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# So, its gotta be done manually for now.
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index_ds = ArrayDataSource(x)
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value_ds = ArrayDataSource(y)
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plot.index_range.add(index_ds)
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plot.value_range.add(value_ds)
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# Create the index and value mappers using the plot data ranges
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imapper = LinearMapper(range=plot.index_range)
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vmapper = LinearMapper(range=plot.value_range)
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# Create the scatter renderer
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scatter = VariableSizeScatterPlot(
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index_mapper = imapper,
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value_mapper = vmapper,
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marker_size=marker_size,
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color=(1.0,0.0,0.75,0.4))
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# Append the renderer to the list of the plot's plots
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plot.plots['var_size_scatter'] = [scatter]
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# Tweak some of the plot properties
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plot.title = "Scatter Plot"
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# Attach some tools to the plot
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plot.tools.append(PanTool(plot, constrain_key="shift"))
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zoom = ZoomTool(component=plot, tool_mode="box", always_on=False)
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plot.overlays.append(zoom)
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#===============================================================================
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# Attributes to use for the plot view.
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title = "Basic scatter plot"
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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 Demo(HasTraits):
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plot = Instance(Component)
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Item('plot', editor=ComponentEditor(size=size,
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orientation = "vertical"),
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resizable=True, title=title
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def _plot_default(self):
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return _create_plot_component()
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if __name__ == "__main__":
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demo.configure_traits()
added
removed
examples/demo/advanced/variable_sized_scatter.py
