I’m trying to add some sort of callback that would allow me to update my function call input data to change a currently running Bokeh plot accordingly in rtt.py:
from bokeh.io import output_file,show
from bokeh.driving import count
from bokeh.server.server import Server
from bokeh.models import ColumnDataSource, HoverTool, Button, Label
from bokeh.plotting import curdoc, figure
from bokeh.client import push_session
import math
import time
def parameters(a,b,c,d):
def sinusoid(doc):
t_initial=time.time()
source = ColumnDataSource({"x": [], "y": []})
sinPlot = figure(x_range=(1,10),plot_width=700)
sinPlot.line("x", "y", source=source)
@count()
def update(t):
t =(time.time()-t_initial)*3
test={'x':[t], 'y':[a*math.sin(b*t+c)+d]}
source.stream(test)
sinPlot.x_range.start=t-20
sinPlot.x_range.end=t
doc.add_root(sinPlot)
doc.add_periodic_callback(update,20)
print("Function runs")
print(a,b,c,d)
server = Server({'/': sinusoid}, num_procs=1)
server.start()
server.io_loop.add_callback(server.show, "/")
server.io_loop.start()
The plan is to call rtt.parameters(1,1,0,1) , have it plot accordingly, then add a callback or call rtt.parameters(1,2,3,4) again with different inputs (such as updating a,b,c,d). Hopefully this would update the plot that is currently graphing.
Is this possible with Bokeh imported as a library?