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")