from bokeh.plotting import figure, output_server, show
from bokeh.models import ServerDataSource
import bokeh.transforms.ar_downsample as ar
from blaze.server.client import Client
from blaze import Data
output_server("Census")
# 2010 US Census tracts
c = Client('http://localhost:5006')
d = Data(c)
source = ServerDataSource()
source.from_blaze(d.census, local=True)
plot = figure()
arplot = plot.square(
'LON', 'LAT',
source=source,
plot_width=600,
plot_height=400,
title="Census Tracts")
ar.heatmap(arplot, palette="Reds9", reserve_val=0, points=True, client_color=True, title="Census Tracts (Client Colors)")
ar.heatmap(arplot, low=(255, 200, 200), points=True, title="Census Tracts (Server Colors)")
ar.contours(arplot, title="ISO Contours")
show(plot)
from bokeh.plotting import figure, output_server, show
from bokeh.models import ServerDataSource
import bokeh.transforms.ar_downsample as ar
from blaze.server.client import Client
from blaze import Data
output_server("abstractrender")
c = Client('http://localhost:5006')
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)
from bokeh.plotting import figure, output_server, show
from bokeh.models import ServerDataSource
import bokeh.transforms.ar_downsample as ar
from blaze.server.client import Client
from blaze import Data
output_server("Census")
# 2010 US Census tracts
c = Client('http://localhost:5006')
d = Data(c)
source = ServerDataSource()
source.from_blaze(d.census, local=True)
plot = figure()
arplot = plot.square('LON',
'LAT',
source=source,
plot_width=600,
plot_height=400,
title="Census Tracts")
ar.heatmap(arplot,
palette="Reds9",
reserve_val=0,
points=True,
client_color=True,
title="Census Tracts (Client Colors)")
ar.heatmap(arplot,
low=(255, 200, 200),
points=True,
title="Census Tracts (Server Colors)")
