有没有办法在Bokeh中使用MultiSelect来选择绘制哪个流数据通道?

问题描述 投票:1回答:1

我正在组装一个散景服务器来收集多个数据流,并提供用户在MultiSelect菜单中选择的任何频道的实时情节。我有流媒体位工作,但我不知道如何选择在我添加到布局的图中显示哪个流。

我已经尝试使用curdoc()。remove_root()删除当前布局,然后添加一个新布局,但这只会杀死应用程序并且新布局不会显示。我也试图简单地更新图形,但这也只是杀死了应用程序。

from bokeh.layouts import column
from bokeh.plotting import figure,curdoc
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import MultiSelect

def change_plot(attr,old,new):
    global model,selector,p,source
    curdoc().remove_root(mode)
    p = figure()
    p.circle(x=new+'_x',y=new+'_y',source=source)
    model = column(selector,p)
    curdoc().add_root(model)

def update_plot():
    newdata = {}
    for i in range(10):
        # the following two lines would nominally provide real data
        newdata[str(i)+'_x'] = 1
        newdata[str(i)+'_y'] = 1
    source.stream(newdata,100)

selector = MultiSelect(title='Options',value=[str(i) for i in range(10)])
selector.on_change('value',change_plot)

data = {}
for i in range(10):
    data[str(i)+'_x'] = 0
    data[str(i)+'_y'] = 0
source = ColumnDataSource(data=data)

p = figure()
p.circle(x='0_x',y='0_y',source=source)
curdoc().add_root(model)
curdoc().add_periodic_callback(update_plot,100)

我使用散景服务--show app.py运行此代码,我希望每次更新MultiSelect时都会创建一个新的绘图,但它只会在change_plot回调中的某处崩溃。

python bokeh
1个回答
1
投票

在此代码中,选择MultiSelect中的一行如果它不在画布中并添加一个新行并开始流式传输或只是切换流式传输,如果该行已经在画布中。代码适用于Bokeh v1.0.4。与bokeh serve --show app.py一起运行

from bokeh.models import ColumnDataSource, MultiSelect, Column
from bokeh.plotting import figure, curdoc
from datetime import datetime
from random import randint
from bokeh.palettes import Category10

lines = ['line_{}'.format(i) for i in range(10)]
data = [{'time':[], item:[]} for item in lines]
sources = [ColumnDataSource(item) for item in data]

plot = figure(plot_width = 1200, x_axis_type = 'datetime')

def add_line(attr, old, new):
    for line in new:
        if not plot.select_one({"name": line}):
            index = lines.index(line)
            plot.line(x = 'time', y = line, color = Category10[10][index], name = line, source = sources[index])

multiselect = MultiSelect(title = 'Options', options = [(i, i) for i in lines], value = [''])
multiselect.on_change('value', add_line)

def update():
    for line in lines:
        if line in multiselect.value:
            if plot.select({"name": line}):
                sources[lines.index(line)].stream(eval('dict(time = [datetime.now()], ' + line + ' = [randint(5, 10)])'))

curdoc().add_root(Column(plot, multiselect))
curdoc().add_periodic_callback(update, 1000)

结果:

enter image description here

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