Hello,
I wish to use the MultiSelect tool to determine what lines are plotted on a TimeSeries based on the value selected in the MultiSelect Widget. I got it working for using MultiLine, but I am having trouble implementing the same solution using TimeSeries.
Highlighted below is where I’m having trouble:
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from pandas_datareader import data
import pandas as pd
import datetime as dt
import itertools as iter
from bokeh.io import curdoc
from bokeh.layouts import layout, widgetbox
from bokeh.models import ColumnDataSource
from bokeh.models.widgets import MultiSelect, CheckboxButtonGroup
from bokeh.plotting import show
from bokeh.charts import TimeSeries
#get data in DF
def get_stock_data(ticker, start):
return data.get_data_yahoo(ticker, start, interval = ‘m’)[“Adj Close”]
#df[“Mthly Rtn”] = df[“Adj Close”].pct_change(1)
#df[“Cum Rtn”] = df[“Adj Close”]/df[“Adj Close”][0] - 1
start = dt.date(2010, 1, 1)
sector_dict = {“Healthcare”:[“JNJ”, “NVS”, “PFE”],
“Technology”:[“GOOG”, “MSFT”]}
list_sectors = sector_dict.keys()
sector_dict[“All”] = list(iter.chain.from_iterable(sector_dict.values()))
stock_prices = pd.DataFrame()
for ticker in sector_dict[“All”]:
stock_prices[ticker] = get_stock_data(ticker, start)
#set up widgets
stock_select = MultiSelect(title = ‘Stock:’, value = sector_dict[‘All’], options = sector_dict[‘All’])
#create ColumnDateSource that will be used by the plot
source = ColumnDataSource(data = dict(y = , color = ))
p = TimeSeries(stock_prices, x = ‘index’, source = source)
def update():
source.data = dict(
y = stock_select.value,
color = stock_select.value
)
controls = [stock_select]
for control in controls:
control.on_change('value', lambda attr, old, new: update())
l = layout([[stock_select, p]], sizing_mode = ‘fixed’)
update()
curdoc().add_root(l)
curdoc().title = ‘Test Stocks’
