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1 2 3 4 5 6 7 8 9 | import pandas as pd from pandas_datareader import data import datetime start = datetime.datetime( 2016 , 1 , 1 ) end = datetime.date.today() apple = data.DataReader( "AAPL" , "yahoo" , start, end) #type(apple) apple.head() |
Date Open High Low Close Adj Close Volume
2016-01-04 102.610001 105.370003 102.000000 105.349998 101.790649 67649400 2016-01-05 105.750000 105.849998 102.410004 102.709999 99.239845 55791000 2016-01-06 100.559998 102.370003 99.870003 100.699997 97.297760 68457400 2016-01-07 98.680000 100.129997 96.430000 96.449997 93.191338 81094400 2016-01-08 98.550003 99.110001 96.760002 96.959999 93.684120 70798000