from bokeh.transforms import image_downsample
from blaze.server.client import Client
from blaze import Data
N = 1000
x = np.linspace(0, 10, N)
y = np.linspace(0, 10, N)
xx, yy = np.meshgrid(x, y)
d = np.sin(xx) * np.cos(yy)
output_server("remote_image")
c = Client('http://localhost:5006')
d = Data(c)
source = image_downsample.source()
source.from_blaze(d.array, local=True)
plot = figure(
x_range=[0, 10],
y_range=[0, 10],
)
plot.image(source=source,
image="image",
x="x",
y="y",
dw="dw",
dh="dh",
palette="Spectral11",
tools="pan,wheel_zoom,box_zoom,reset,previewsave")
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
"""
N = 1000
x = np.linspace(0, 10, N)
y = np.linspace(0, 10, N)
xx, yy = np.meshgrid(x, y)
d = np.sin(xx)*np.cos(yy)
output_server("remote_image")
source = image_downsample.source(data_url="/defaultuser/array.table/array",
owner_username="******")
image(
source=source,
image="image",
x="x",
y="y",
dw="dw",
dh="dh",
width=200,
height=200,
palette="palette",
x_range=Range1d(start=0, end=10),
y_range=Range1d(start=0, end=10),
tools="pan,wheel_zoom,box_zoom,reset,previewsave"
)
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
"""
N = 1000
x = np.linspace(0, 10, N)
y = np.linspace(0, 10, N)
xx, yy = np.meshgrid(x, y)
d = np.sin(xx) * np.cos(yy)
output_server("remote_image")
source = image_downsample.source(data_url="/defaultuser/array.table/array",
owner_username="******")
image(source=source,
image="image",
x="x",
y="y",
dw="dw",
dh="dh",
width=200,
height=200,
palette="Spectral11",
x_range=[0, 10],
y_range=[0, 10],
tools="pan,wheel_zoom,box_zoom,reset,previewsave")
show()
from bokeh.transforms import image_downsample
from blaze.server.client import Client
from blaze import Data
N = 1000
x = np.linspace(0, 10, N)
y = np.linspace(0, 10, N)
xx, yy = np.meshgrid(x, y)
d = np.sin(xx)*np.cos(yy)
output_server("remote_image")
c = Client('http://localhost:5006')
d = Data(c)
source = image_downsample.source()
source.from_blaze(d.array, local=True)
plot = figure(x_range=[0,10],
y_range=[0,10],
)
plot.image(
source=source,
image="image",
x="x",
y="y",
dw="dw",
dh="dh",
palette="Spectral11",
tools="pan,wheel_zoom,box_zoom,reset,previewsave"
)