如何在独立服务器中嵌入bokeh服务器

Question

我试图将bokeh服务器嵌入到here所示的独立文档中。我很迷茫，无法把头放在提供的示例上。我在下面的示例中尝试实现它，但是运行时没有显示该应用程序。有人可以教我如何创建此独立版吗？

谢谢

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()

根据接受的答案，我修改了代码，它可以正常工作：

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()

Answer 1

在bokeh github网站上有一个完整的工作示例，用于以编程方式运行bokeh服务器而不使用“ bokeh serve ...”：

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()

如果我们以此为模板并集成您的代码，则它看起来像这样：

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()