def test_aggregators(self): aggregators = [(ar_downsample.Sum(), numeric.Sum, {}), (ar_downsample.Count(), numeric.Count, {}), (ar_downsample.CountCategories(), categories.CountCategories, {})] for (agg, target, kwargs) in aggregators: self._reify_tester(agg, target, kwargs)
d = Data(c) source = ServerDataSource() source.from_blaze(d.gauss, local=True) plot = figure() plot.square('oneA', 'oneB', color='#FF00FF', source=source) #Server-side colored heatmap arplot = ar.heatmap(plot, spread=3, transform=None, title="Server-rendered, uncorrected") arplot = ar.heatmap(plot, spread=3, transform="Log", title="Server-rendered, log transformed") arplot = ar.heatmap(plot, spread=3, title="Server-rendered, perceptually corrected") ar.replot(plot, agg=ar.Count(), info=ar.Const(val=1), shader=ar.Spread(factor=3) + ar.Cuberoot() + ar.InterpolateColor(low=(255,200,200), high=(255,0,0)), points=True, title="Manually process: perceptually corrected", reserve_val=0) # Client-side colored heatmap # I think this has been broken for a while? # ar.heatmap(plot, spread=3, client_color=True, palette="Reds9", title="Client-colored") # Contours come in the same framework, but since the results of the shader are lines you use a different plotting function... # colors = ["#C6DBEF", "#9ECAE1", "#6BAED6", "#4292C6", "#2171B5", "#08519C", "#08306B"] # ar.contours(plot, palette=colors, title="ISO Contours")