python - how to deal quotes_historical_yahoo date time? -

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i try use matplotlib.finance download data yahoo finance. 

from matplotlib.finance import quotes_historical_yahoo datetime import date import pandas pd import numpy np %matplotlib inline today=date.today() start=(today.year-1,today.month,today.day) quotes=quotes_historical_yahoo('axp',start,today) df=pd.dataframe(quotes,columns=['date','open','high','low','close','vol']) df

the result 

      date       open        high         low       close       vol 0   735536  87.376999   87.524947   88.264678   86.992340   5069300 1   735537  88.708520   88.718378   89.359479   88.146325   6848600 2   735540  89.083316   89.606057   89.961129   88.984686   3707900

i know first column should date, don't know how date time it. how deal column make "2011-01-01"?

i solve myself, key date.fromordinal()+date.strftime(x,'%y-%m-%d')

    today=date.today()     start=(today.year-1,today.month,today.day)     quotes=quotes_historical_yahoo('axp',start,today)     fields=['date','open','high','low','close','vol']     list1=[]     in range(0,len(quotes)):         x=date.fromordinal(int(quotes[i][0]))         y=date.strftime(x,'%y-%m-%d')         list1.append(y)     df = pd.dataframe(quotes,index=list1,columns=fields)     df=df.drop(['date'],axis=1)

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