Why won't bokeh figure update with new data? - python-3.x

Question

I'm creating a bokeh application that pulls data from Quandl stock prices and changes the plot based the stock symbol the user inputs. I used an example from this bokeh tuorial as a model.
Everything is working except the plot won't update when I input a new symbol.
I've tried passing the new data as a dictionary (before I was just passing a DataFrame to ColumnDataSource(), but no luck.
import pandas as pd
import numpy as np
from bokeh.models.widgets import TextInput, Select
from bokeh.models import ColumnDataSource
from bokeh.plotting import figure
from bokeh.layouts import column, row
from bokeh.io import show, output_notebook
import quandl
This is the function to get the data:
def get_data(symbol):
dictionary = {}
data = quandl.get('WIKI/' + symbol, collapse = 'annual', returns='numpy')
df = pd.DataFrame(data)
dictionary['date'] = list(df.Date.values)
dictionary['high'] = list(df.High.values)
return dictionary
And this is a function for the plot:
def modify_doc(doc):
symbol = 'AAWW'
source = ColumnDataSource(data = get_data(symbol))
p = figure(x_axis_type='datetime', title='Stock Price', plot_height=350, plot_width=800)
p.xgrid.grid_line_color=None
p.ygrid.grid_line_alpha=0.5
p.xaxis.axis_label = 'year'
p.yaxis.axis_label = 'close'
r = p.line(source.data['date'],
source.data['high'],
line_color = 'navy')
select = Select(title="Color", value="navy", options=COLORS)
input = TextInput(title="Ticker Symbol", value=symbol)
def update_symbol(attrname, old, new):
source.data = get_data(input.value)
input.on_change('value', update_symbol)
layout = column(row(input, width=400), row(p))
doc.add_root(layout)
show(modify_doc)
I would think that the plot would update when the new symbol is entered, but it just stays the same.
Any thoughts?

Answer 1

Your code looks like Bokeh server application but you use show() what doesn't look good to me. You are also trying to update the figure by assigning new data to the source but you did not pass your source to the figure object so it won't have any effect. Could you try if this code works for you? (should work for Bokeh v1.0.4)
import random
import pandas as pd
from tornado.ioloop import IOLoop
from bokeh.server.server import Server
from bokeh.application import Application
from bokeh.application.handlers.function import FunctionHandler
from bokeh.plotting import figure, ColumnDataSource
from bokeh.models.widgets import TextInput
from bokeh.layouts import column, row
def make_document(doc):
symbol = 'AAWW'
def get_data(symbol):
dictionary = {}
data = quandl.get('WIKI/' + symbol, collapse = 'annual', returns = 'numpy')
df = pd.DataFrame(data)
dictionary['date'] = list(df.Date.values)
dictionary['high'] = list(df.High.values)
return dictionary
source = ColumnDataSource(data = get_data(symbol))
p = figure(x_axis_type = 'datetime', title = 'Stock Price', plot_height = 350, plot_width = 800)
p.xgrid.grid_line_color = None
p.ygrid.grid_line_alpha = 0.5
p.xaxis.axis_label = 'year'
p.yaxis.axis_label = 'close'
r = p.line(x = 'date',
y = 'high',
source = source,
line_color = 'navy')
input = TextInput(title = "Ticker Symbol", value = symbol)
def update_symbol(attrname, old, new):
source.data = get_data(input.value)
input.on_change('value', update_symbol)
layout = column(row(input, width = 400), row(p))
doc.add_root(layout)
io_loop = IOLoop.current()
server = Server({'/myapp': Application(FunctionHandler(make_document))}, port = 5001, io_loop = io_loop)
server.start()
server.show('/myapp')
io_loop.start()
Basically the main change is here:
r = p.line(x = 'date',
y = 'high',
source = source,
line_color = 'navy')

Answer 2

Based on the answer I got from Tony, I just had to change one line of code:
r = p.line(x = 'date',
y = 'high',
source = source,
line_color = 'navy')