问题
I'm trying to embed a bokeh server in a standalone document as presented here. I'm quite lost and couldn't wrap my head around the example provided. I tried to implement it in the following example, but when I run it doesn't show the application. Could someone show me how to create this standalone?
Thanks
from bokeh.io import show, curdoc
from bokeh.models import ColumnDataSource, Legend, CustomJS, Select
from bokeh.plotting import figure
from bokeh.palettes import Category10
from bokeh.layouts import row
import pandas as pd
from bokeh.server.server import Server
def test(doc):
df0 = pd.DataFrame({'x': [1, 2, 3], 'Ay' : [1, 5, 3], 'A': [0.2, 0.1, 0.2], 'By' : [2, 4, 3], 'B':[0.1, 0.3, 0.2]})
columns = ['A', 'B']
tools_to_show = 'box_zoom,save,hover,reset'
p = figure(plot_height =300, plot_width = 1200,
toolbar_location='above',
tools=tools_to_show)
legend_it = []
color = Category10[10]
columns = ['A', 'B']
source = ColumnDataSource(df0)
c = []
for i, col in enumerate(columns):
c.append(p.line('x', col, source=source, name=col, color=color[i]))
legend_it.append((col, [c[i]]))
legend = Legend(items=legend_it, location=(5,114))#(0, -60))
p.add_layout(legend, 'right')
select = Select(title="color", value=color[0],
options = color)
callbacks = CustomJS(args=dict(renderer=c[0], select=select), code ="""
renderer.glyph.line_color = select.value;
renderer.trigger('change')
""")
select.callback = callbacks
layout = row(select, p)
curdoc().add_root(layout)
server = Server(test)
server.start()
Based on the accepted answer I adapted the code and it works:
from bokeh.models import ColumnDataSource, Legend, CustomJS, Select
from bokeh.plotting import figure
from bokeh.palettes import Category10
from bokeh.layouts import row
import pandas as pd
from bokeh.server.server import Server
def test(doc):
df0 = pd.DataFrame({'x': [1, 2, 3], 'Ay' : [1, 5, 3], 'A': [0.2, 0.1, 0.2], 'By' : [2, 4, 3], 'B':[0.1, 0.3, 0.2]})
columns = ['A', 'B']
tools_to_show = 'box_zoom,save,hover,reset'
p = figure(plot_height =300, plot_width = 1200,
toolbar_location='above',
tools=tools_to_show)
legend_it = []
color = Category10[10]
columns = ['A', 'B']
source = ColumnDataSource(df0)
c = []
for i, col in enumerate(columns):
c.append(p.line('x', col, source=source, name=col, color=color[i]))
legend_it.append((col, [c[i]]))
legend = Legend(items=legend_it, location=(5,114))#(0, -60))
p.add_layout(legend, 'right')
select = Select(title="color", value=color[0],
options = color)
callbacks = CustomJS(args=dict(renderer=c[0], select=select), code ="""
renderer.glyph.line_color = select.value;
renderer.trigger('change')
""")
select.callback = callbacks
layout = row(select, p)
doc.add_root(layout)
server = Server({'/': test}, num_procs=1)
server.start()
server.io_loop.add_callback(server.show, "/")
server.io_loop.start()
回答1:
There is a full working example for programmatically running a bokeh server without using "bokeh serve ..." on the bokeh github site:
https://github.com/bokeh/bokeh/blob/master/examples/howto/server_embed/standalone_embed.py
from bokeh.layouts import column
from bokeh.models import ColumnDataSource, Slider
from bokeh.plotting import figure
from bokeh.server.server import Server
from bokeh.themes import Theme
from bokeh.sampledata.sea_surface_temperature import sea_surface_temperature
def modify_doc(doc):
df = sea_surface_temperature.copy()
source = ColumnDataSource(data=df)
plot = figure(x_axis_type='datetime', y_range=(0, 25), y_axis_label='Temperature (Celsius)',
title="Sea Surface Temperature at 43.18, -70.43")
plot.line('time', 'temperature', source=source)
def callback(attr, old, new):
if new == 0:
data = df
else:
data = df.rolling('{0}D'.format(new)).mean()
source.data = ColumnDataSource(data=data).data
slider = Slider(start=0, end=30, value=0, step=1, title="Smoothing by N Days")
slider.on_change('value', callback)
doc.add_root(column(slider, plot))
doc.theme = Theme(filename="theme.yaml")
# Setting num_procs here means we can't touch the IOLoop before now, we must
# let Server handle that. If you need to explicitly handle IOLoops then you
# will need to use the lower level BaseServer class.
server = Server({'/': modify_doc}, num_procs=4)
server.start()
if __name__ == '__main__':
print('Opening Bokeh application on http://localhost:5006/')
server.io_loop.add_callback(server.show, "/")
server.io_loop.start()
If we take this a template and integrate your code, it looks like this:
from bokeh.models import ColumnDataSource, Legend, CustomJS, Select
from bokeh.plotting import figure
from bokeh.palettes import Category10
from bokeh.layouts import row
import pandas as pd
from bokeh.server.server import Server
from bokeh.sampledata.sea_surface_temperature import sea_surface_temperature
def test(doc):
df0 = pd.DataFrame({'x': [1, 2, 3], 'Ay' : [1, 5, 3], 'A': [0.2, 0.1, 0.2], 'By' : [2, 4, 3], 'B':[0.1, 0.3, 0.2]})
columns = ['A', 'B']
tools_to_show = 'box_zoom,save,hover,reset'
p = figure(plot_height =300, plot_width = 1200,
toolbar_location='above',
tools=tools_to_show)
legend_it = []
color = Category10[10]
columns = ['A', 'B']
source = ColumnDataSource(df0)
c = []
for i, col in enumerate(columns):
c.append(p.line('x', col, source=source, name=col, color=color[i]))
legend_it.append((col, [c[i]]))
legend = Legend(items=legend_it, location=(5,114))#(0, -60))
p.add_layout(legend, 'right')
select = Select(title="color", value=color[0],
options = color)
callbacks = CustomJS(args=dict(renderer=c[0], select=select), code ="""
renderer.glyph.line_color = select.value;
renderer.trigger('change')
""")
select.callback = callbacks
layout = row(select, p)
doc.add_root(layout)
server = Server({'/': test}, num_procs=1)
server.start()
if __name__ == '__main__':
print('Opening Bokeh application on http://localhost:5006/')
server.io_loop.add_callback(server.show, "/")
server.io_loop.start()
来源：https://stackoverflow.com/questions/51802159/how-to-embed-a-bokeh-server-in-a-standalone