是否可以在没有服务器回调的情况下更新散景图?

时间:2019-06-24 19:09:27

标签: python bokeh

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

1 个答案:

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]))