def test_source(self):
ar_downsample._loadAR()
sess = Session(client=app.test_client())
output_server('Census', session=sess)
source = ServerDataSource(expr={
'op': 'Field',
'args': [':leaf', 'bivariate']
})
plot = figure()
plot.square('A', 'B', source=source)
agg = ar_downsample.CountCategories()
info = ar_downsample.Const(val=1)
shader = ar_downsample.InterpolateColor()
new_source = ar_downsample.source(plot,
agg=agg,
info=info,
shader=shader)
self.assertIsNotNone(new_source.transform)
trans = new_source.transform
self.assertEquals(trans['resample'], 'abstract rendering')
self.assertEquals(trans['agg'], agg)
self.assertEquals(trans['info'], info)
self.assertEquals(trans['shader'], shader)
self.assertEquals(trans['glyphspec'],
plot.select({'type': GlyphRenderer})[0].glyph)
self.assertEquals(trans['points'], False)
def test_infos(self):
configs = [(ar_downsample.AutoEncode(), infos.AutoEncode, {}),
(ar_downsample.Const(val=3), types.FunctionType, {}),
#(ar_downsample.Encode(cats=[10, 20, 30]), types.FunctionType, {}) TODO: Error in Python 3, restore in AR 0.6
]
for (proxy, target, kwargs) in configs:
self._reify_tester(proxy, target, kwargs)
def test_source(self):
ar_downsample._loadAR()
source = ServerDataSource(data_url="fn://bivariate", owner_username="******")
plot = figure()
plot.square('A', 'B', source=source)
agg = ar_downsample.CountCategories()
info = ar_downsample.Const(val=1)
shader = ar_downsample.InterpolateColor()
new_source = ar_downsample.source(plot, agg=agg, info=info, shader=shader)
self.assertIsNotNone(new_source.transform)
trans = new_source.transform
self.assertEquals(trans['resample'], 'abstract rendering')
self.assertEquals(trans['agg'], agg)
self.assertEquals(trans['info'], info)
self.assertEquals(trans['shader'], shader)
self.assertEquals(trans['glyphspec'], self._glyphspec(plot))
self.assertEquals(trans['points'], False)
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")
# # Multiple categories
