In [ ]:
import pandas as pd
from bokeh.charts import TimeSeries
from bokeh.io import output_notebook, show
output_notebook()
In [ ]:
# read in some stock data from the Yahoo Finance API
AAPL = pd.read_csv(
    "http://ichart.yahoo.com/table.csv?s=AAPL&a=0&b=1&c=2000&d=0&e=1&f=2010",
    parse_dates=['Date'])
MSFT = pd.read_csv(
    "http://ichart.yahoo.com/table.csv?s=MSFT&a=0&b=1&c=2000&d=0&e=1&f=2010",
    parse_dates=['Date'])
IBM = pd.read_csv(
    "http://ichart.yahoo.com/table.csv?s=IBM&a=0&b=1&c=2000&d=0&e=1&f=2010",
    parse_dates=['Date'])

data = dict(
    AAPL=AAPL['Adj Close'],
    Date=AAPL['Date'],
    MSFT=MSFT['Adj Close'],
    IBM=IBM['Adj Close'],
)
In [ ]:
ts = TimeSeries(
    data, x='Date', title="timeseries, dict input", 
    legend='top_left', ylabel='Stock Prices')
show(ts)
In [ ]:
df = pd.DataFrame(data)
ts = TimeSeries(
    df, x='Date', title="timeseries, pandas input", 
    legend='top_left', ylabel='Stock Prices')
show(ts)