data = data = quandl.get(tickers,start_date=start, end_date=end)
data.tail(1).T
s=data[["CHRIS/SHFE_AU1 - Close","YAHOO/INDEX_HUI - Adjusted Close","CHRIS/CME_GC1 - Last"]]
s.apply(lambda x: (x - np.mean(x)) / (np.max(x) - np.min(x)), axis=0).ix['2014':].plot(color=tableau20)
#==============================================================================
#
#==============================================================================
import pandas_datareader.data as web
df = web.DataReader("EURUSD=x", 'yahoo', start, end)
from yahoo_finance import Currency
fx = Currency('EURUSD')
fx.get_bid()
fx.get_ask()
fx.get_rate()
fx.get_trade_datetime()
fx.get_historical('2014-04-25', '2014-04-29')
fx.data_set
