def test_replot_property_transfer(self):
ar_downsample._loadAR()
sess = Session(client=app.test_client())
output_server('Census', session=sess)
source = ServerDataSource(
expr={'op': 'Field', 'args': [':leaf', 'bivariate']}
)
plot_width = 612
plot_height = 408
plot_title = "Test title"
plot = figure(plot_width=plot_width, plot_height=plot_height, title=plot_title)
plot.square('A', 'B', source=source)
ar_plot = ar_downsample.replot(plot)
self.assertEquals(ar_plot.plot_width, plot_width, "Plot width not transfered")
self.assertEquals(ar_plot.plot_height, plot_height, "Plot height not transfered")
self.assertEquals(ar_plot.title, plot_title, "Plot title not transfered")
plot_width = 612
plot_height = 408
plot_title = "Test title"
ar_plot = ar_downsample.replot(plot, title=plot_title, plot_width=plot_width, plot_height=plot_height)
self.assertEquals(ar_plot.plot_width, plot_width, "Plot width override failed")
self.assertEquals(ar_plot.plot_height, plot_height, "Plot height override failed")
self.assertEquals(ar_plot.title, plot_title, "Plot title override failed")
def test_replot_property_transfer(self):
self.assertIsNotNone(self.bokeh_server, "Server failed to start, cannot tests")
ar_downsample._loadAR()
output_server("Census")
source = ServerDataSource(data_url="fn://bivariate", owner_username="******")
plot_width = 612
plot_height = 408
plot_title = "Test title"
plot = figure(lot_width=plot_width, plot_height=plot_height, title=plot_title)
plot.square('A', 'B', source=source)
ar_plot = ar_downsample.replot(plot)
self.assertEquals(ar_plot.plot_width, plot_width, "Plot width not transfered")
self.assertEquals(ar_plot.plot_height, plot_height, "Plot height not transfered")
self.assertEquals(ar_plot.title, plot_title, "Plot title not transfered")
plot_width = 612
plot_height = 408
plot_title = "Test title"
ar_plot = ar_downsample.replot(plot, title=plot_title, plot_width=plot_width, plot_height=plot_height)
self.assertEquals(ar_plot.plot_width, plot_width, "Plot width override failed")
self.assertEquals(ar_plot.plot_height, plot_height, "Plot height override failed")
self.assertEquals(ar_plot.title, plot_title, "Plot title override failed")
def test_replot_result_type(self):
ar_downsample._loadAR()
source = ServerDataSource(data_url="fn://bivariate",
owner_username="******")
plot = square('A', 'B', source=source)
expected = {
"image": "Image",
"image_rgb": "ImageRGBA",
"multi_line": "MultiLine"
}
shaders = dict()
for name in dir(ar_downsample):
item = getattr(ar_downsample, name)
if isinstance(item, ar_downsample.Shader):
shaders[item] = item.out
for shader_class in shaders:
shader = shader_class()
rslt = ar_downsample.replot(plot, shader=shader)
self.assertEquals(
expected[shader.out],
self._glyphspec(rslt)['type'],
"Error with {0}. Expected {1}, recieved {2}".format(
str(shader_class), expected[shader.out],
self._glyphspec(rslt)))
def test_replot_result_type(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)
expected = {"image": "Image", "image_rgb": "ImageRGBA", "multi_line": "MultiLine"}
shaders = dict()
for name in dir(ar_downsample):
item = getattr(ar_downsample, name)
if isinstance(item, ar_downsample.Shader):
shaders[item] = item.out
for shader_class in shaders:
shader = shader_class()
rslt = ar_downsample.replot(plot, shader=shader)
self.assertEquals(expected[shader.out], self._glyphspec(rslt)['type'],
"Error with {0}. Expected {1}, recieved {2}"
.format(str(shader_class), expected[shader.out], self._glyphspec(rslt)))
def test_replot_result_type(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)
expected = {
"image": "Image",
"image_rgb": "ImageRGBA",
"multi_line": "MultiLine"
}
shaders = dict()
for name in dir(ar_downsample):
item = getattr(ar_downsample, name)
if isinstance(item, ar_downsample.Shader):
shaders[item] = item.out
for shader_class in shaders:
shader = shader_class()
rslt = ar_downsample.replot(plot, shader=shader)
self.assertEquals(
expected[shader.out],
self._glyphspec(rslt)['type'],
"Error with {0}. Expected {1}, recieved {2}".format(
str(shader_class), expected[shader.out],
self._glyphspec(rslt)))
def test_replot_property_transfer(self):
ar_downsample._loadAR()
sess = Session(client=app.test_client())
output_server('Census', session=sess)
source = ServerDataSource(expr={
'op': 'Field',
'args': [':leaf', 'bivariate']
})
plot_width = 612
plot_height = 408
plot_title = "Test title"
plot = figure(plot_width=plot_width,
plot_height=plot_height,
title=plot_title)
plot.square('A', 'B', source=source)
ar_plot = ar_downsample.replot(plot)
self.assertEquals(ar_plot.plot_width, plot_width,
"Plot width not transfered")
self.assertEquals(ar_plot.plot_height, plot_height,
"Plot height not transfered")
self.assertEquals(ar_plot.title, plot_title,
"Plot title not transfered")
plot_width = 612
plot_height = 408
plot_title = "Test title"
ar_plot = ar_downsample.replot(plot,
title=plot_title,
plot_width=plot_width,
plot_height=plot_height)
self.assertEquals(ar_plot.plot_width, plot_width,
"Plot width override failed")
self.assertEquals(ar_plot.plot_height, plot_height,
"Plot height override failed")
self.assertEquals(ar_plot.title, plot_title,
"Plot title override failed")
def test_replot_property_transfer(self):
self.assertIsNotNone(self.bokeh_server, "Server failed to start, cannot tests")
ar_downsample._loadAR()
output_server("Census")
source = ServerDataSource(data_url="fn://bivariate", owner_username="******")
plot_width = 612
plot_height = 408
plot_title = "Test title"
plot = square('A', 'B', source=source, plot_width=plot_width, plot_height=plot_height, title=plot_title)
ar_plot = ar_downsample.replot(plot)
self.assertEquals(ar_plot.plot_width, plot_width, "Plot width not transfered")
self.assertEquals(ar_plot.plot_height, plot_height, "Plot height not transfered")
self.assertEquals(ar_plot.title, plot_title, "Plot title not transfered")
plot_width = 612
plot_height = 408
plot_title = "Test title"
ar_plot = ar_downsample.replot(plot, title=plot_title, plot_width=plot_width, plot_height=plot_height)
self.assertEquals(ar_plot.plot_width, plot_width, "Plot width override failed")
self.assertEquals(ar_plot.plot_height, plot_height, "Plot height override failed")
self.assertEquals(ar_plot.title, plot_title, "Plot title override failed")
def test_replot_result_type(self):
ar_downsample._loadAR()
source = ServerDataSource(data_url="fn://bivariate", owner_username="******")
plot = square('A', 'B', source=source)
expected = {"image": "Image", "image_rgb": "ImageRGBA", "multi_line": "MultiLine"}
shaders = dict()
for name in dir(ar_downsample):
item = getattr(ar_downsample, name)
if hasattr(item, "out"):
shaders[item] = getattr(item, "out")
for shader_class in shaders:
shader = shader_class()
rslt = ar_downsample.replot(plot, shader=shader)
self.assertEquals(expected[shader.out], self._glyphspec(rslt)['type'],
"Error with {0}. Expected {1}, recieved {2}"
.format(str(shader_class), expected[shader.out], self._glyphspec(rslt)))
def test_replot_remove(self):
self.assertIsNotNone(self.bokeh_server, "Server failed to start, cannot tests")
ar_downsample._loadAR()
output_server("Census")
source = ServerDataSource(data_url="fn://bivariate", owner_username="******")
plot = square('A', 'B', source=source)
ar_downsample.replot(plot, remove_original=False)
self.assertTrue(plot in curdoc().context.children, "Not retained")
ar_downsample.replot(plot, remove_original=True)
self.assertTrue(plot not in curdoc().context.children, "Not removed")
try:
ar_downsample.replot(plot, remove_original=True)
except:
self.assertTrue(False, "Error reploting plot not in curdoc")
def test_replot_remove(self):
self.assertIsNotNone(self.bokeh_server, "Server failed to start, cannot tests")
ar_downsample._loadAR()
output_server("Census")
source = ServerDataSource(data_url="fn://bivariate", owner_username="******")
plot = figure()
plot.square('A', 'B', source=source)
ar_downsample.replot(plot, remove_original=False)
self.assertTrue(plot in curdoc().context.children, "Not retained")
ar_downsample.replot(plot, remove_original=True)
self.assertTrue(plot not in curdoc().context.children, "Not removed")
try:
ar_downsample.replot(plot, remove_original=True)
except:
self.assertTrue(False, "Error reploting plot not in curdoc")
def test_replot_remove(self):
ar_downsample._loadAR()
reset_output()
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)
ar_downsample.replot(plot, remove_original=False)
self.assertTrue(plot in curdoc().context.children, "Not retained")
ar_downsample.replot(plot, remove_original=True)
self.assertTrue(plot not in curdoc().context.children, "Not removed")
try:
ar_downsample.replot(plot, remove_original=True)
except:
self.assertTrue(False, "Error reploting plot not in curdoc")
def test_replot_remove(self):
ar_downsample._loadAR()
reset_output()
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)
ar_downsample.replot(plot, remove_original=False)
self.assertTrue(plot in curdoc().context.children, "Not retained")
ar_downsample.replot(plot, remove_original=True)
self.assertTrue(plot not in curdoc().context.children, "Not removed")
try:
ar_downsample.replot(plot, remove_original=True)
except:
self.assertTrue(False, "Error reploting plot not in curdoc")
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
source = ServerDataSource()
source = ServerDataSource(data_url="fn://gauss", owner_username="******")
plot = square('oneA', 'oneB', color='#FF00FF', source=source)
# Simple heat-map: bin the counts ('tis the default configuration....)
heatmap =ar.source(plot, palette=["Reds-9"])
image(source=heatmap, title="Heatmap", reserve_val=0, **ar.mapping(heatmap))
#Perceptually corrected heat-map. Cube-root then bin
percepmap = ar.source(plot, shader=ar.Cuberoot(), palette=["Reds-9"])
image(source=percepmap, title="Perceptually corrected", reserve_val=0, **ar.mapping(percepmap))
# 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.replot(plot, title="ISO Contours", shader=ar.Contour(levels=len(colors)), line_color=colors)
#"""
#In order to run the 'stocks' example, you have to execute
#./bokeh-server -D remotedata
#
#The remote data directory in the bokeh checkout has the sample data for this example
#
#In addition, you must install ArrayManagement from this branch (soon to be master)
#https://github.com/ContinuumIO/ArrayManagement
#"""
#
##Stock-data plotting
#source = ServerDataSource(data_url="/defaultuser/AAPL.hdf5", owner_username="******")
#plot = square('volume','close',color='#FF00FF',source=source)
#percepmap = ar.source(plot, shader=ar.Cuberoot(), palette=["Reds-9"])
from bokeh.plotting import square, output_server, show
from bokeh.objects import ServerDataSource
import bokeh.transforms.ar_downsample as ar
output_server("Census")
# 2010 US Census tracts
source = ServerDataSource(data_url="/defaultuser/CensusTracts.hdf5", owner_username="******")
plot = square(
'LON', 'LAT',
source=source,
plot_width=600,
plot_height=400,
title="Census Tracts")
ar.replot(plot, palette=["Reds-9"], reserve_val=0, points=True)
ar.replot(plot,
shader=ar.Cuberoot() + ar.InterpolateColor(low=(255, 200, 200)),
points=True,
title="Census Tracts (Server Colors)")
colors = ["#C6DBEF", "#9ECAE1", "#6BAED6", "#4292C6", "#2171B5", "#08519C", "#08306B"]
ar.replot(plot, shader=ar.Cuberoot() + ar.Spread(factor=2) + ar.Contour(levels=len(colors)), line_color=colors, points=True, title="Census (Contours)")
show()
