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POPython+Chaco+Traits - rendering bug: unexpected fills of line plot of large data?
 

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  1. POPython+Chaco+Traits - rendering bug: unexpected fills of line plot of large data?
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    <p>Using the minimal example below, the line plot of a large (some 110k points) plot I get (with python 2.7, numpy 1.5.1, chaco/enable/traits 4.3.0) is this:</p> <p><a href="https://i.stack.imgur.com/N3eMr.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/N3eMrm.png" alt="chaco01"></a></p> <p>However, that is bizarre, because it is a line plot, and there shouldn't be any filled areas in there? Especially since the data is sawtooth-ish signal? It's as if there is a line at y~=37XX, above which there is color filling?! But sure enough, if I zoom into an area, I get the rendering I expect - without the unexpected fill:</p> <p><a href="https://i.stack.imgur.com/JwGcc.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/JwGccm.png" alt="chaco02"></a></p> <p>Is this a bug - or is there something I'm doing wrong? I tried to use <code>use_downsampling</code>, but it makes no difference...</p> <p>The test code:</p> <pre><code>import numpy as np import numpy.random as npr from pprint import pprint from traits.api import HasTraits, Instance from chaco.api import Plot, ArrayPlotData, VPlotContainer from traitsui.api import View, Item from enable.component_editor import ComponentEditor from chaco.tools.api import PanTool, BetterSelectingZoom tlen = 112607 alr = npr.randint(0, 4000, tlen) tx = np.arange(0.0, 30.0-0.00001, 30.0/tlen) ty = np.arange(0, tlen, 1) % 10000 + alr pprint(len(ty)) class ChacoTest(HasTraits): container = Instance(VPlotContainer) traits_view = View( Item('container', editor=ComponentEditor(), show_label=False), width=800, height=500, resizable=True, title="Chaco Test" ) def __init__(self): super(ChacoTest, self).__init__() pprint(ty) self.plotdata = ArrayPlotData(x = tx, y = ty) self.plotobj = Plot(self.plotdata) self.plotA = self.plotobj.plot(("x", "y"), type="line", color=(0,0.99,0), spacing=0, padding=0, alpha=0.7, use_downsampling=True) self.container = VPlotContainer(self.plotobj, spacing=5, padding=5, bgcolor="lightgray") #~ container.add(plot) self.plotobj.tools.append(PanTool(self.plotobj)) self.plotobj.overlays.append(BetterSelectingZoom(self.plotobj)) if __name__ == "__main__": ChacoTest().configure_traits() </code></pre>
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