我希望当在python中运行的单独算法的结果返回结果时,Bokeh定期且任意地更新,而不是基于Bokeh接口的任何输入。
我尝试了各种解决方案,但是它们都依赖于某些UI事件的回调或定期回调,如下面的代码所示。
import numpy as np
from bokeh.plotting import figure, curdoc
from bokeh.models import ColumnDataSource, Plot, LinearAxis, Grid
from bokeh.models.glyphs import MultiLine
from time import sleep
from random import randint
def getData(): # simulate data acquisition
# run slow algorith
sleep(randint(2,7)) #simulate slowness of algorithm
return dict(xs=np.random.rand(50, 2).tolist(), ys=np.random.rand(50, 2).tolist())
# init plot
source = ColumnDataSource(data=getData())
plot = Plot(
title=None, plot_width=600, plot_height=600,
min_border=0, toolbar_location=None)
glyph = MultiLine(xs="xs", ys="ys", line_color="#8073ac", line_width=0.1)
plot.add_glyph(source, glyph)
xaxis = LinearAxis()
plot.add_layout(xaxis, 'below')
yaxis = LinearAxis()
plot.add_layout(yaxis, 'left')
plot.add_layout(Grid(dimension=0, ticker=xaxis.ticker))
plot.add_layout(Grid(dimension=1, ticker=yaxis.ticker))
curdoc().add_root(plot)
# update plot
def update():
bokeh_source = getData()
source.stream(bokeh_source, rollover=50)
curdoc().add_periodic_callback(update, 100)
这似乎可行,但这是处理问题的最佳方法吗?除了让Bokeh尝试每100毫秒更新一次,我还可以在数据可用时将新数据推送到其中吗?
谢谢
答案 0 :(得分:0)
您可以使用zmq和asyncio来执行此操作。这是bokeh服务器的代码,它在异步协程中等待数据:
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure, curdoc
from functools import partial
from tornado.ioloop import IOLoop
import zmq.asyncio
doc = curdoc()
context = zmq.asyncio.Context.instance()
socket = context.socket(zmq.SUB)
socket.connect("tcp://127.0.0.1:1234")
socket.setsockopt(zmq.SUBSCRIBE, b"")
def update(new_data):
source.stream(new_data, rollover=50)
async def loop():
while True:
new_data = await socket.recv_pyobj()
doc.add_next_tick_callback(partial(update, new_data))
source = ColumnDataSource(data=dict(x=[0], y=[0]))
plot = figure(height=300)
plot.line(x='x', y='y', source=source)
doc.add_root(plot)
IOLoop.current().spawn_callback(loop)
要发送数据,只需在另一个python进程中运行以下代码即可:
import time
import random
import zmq
context = zmq.Context.instance()
pub_socket = context.socket(zmq.PUB)
pub_socket.bind("tcp://127.0.0.1:1234")
t = 0
y = 0
while True:
time.sleep(1.0)
t += 1
y += random.normalvariate(0, 1)
pub_socket.send_pyobj(dict(x=[t], y=[y]))