允许用户选择确定 web.DataReader 中的股票选择
Allow user selection to determine the stock selection in web.DataReader
我想创建一个程序,将获取用户选择的股票和
return 使用 Pandas 中的 web.DataReader
函数的信息。任何建议或替代解决方案将不胜感激。
import pandas as pd
import pandas.io.data as web # Package and modules for importing data; this code may change depending on pandas version
import datetime
start = datetime.datetime(2016,1,1)
end = datetime.date.today()
apple = web.DataReader(input(""), "yahoo", start, end)
type(apple)
apple.head()
结果
input("") in web.DataReader statement
OSError: after 3 tries, Yahoo! did not return a 200 for url 'http://ichart.finance.yahoo.com/table.csv?s=appl&a=0&b=1&c=2016&d=11&e=8&f=2016&g=d&ignore=.csv'
既然数据阅读器已经移到他们自己的包中,那么您应该如何真正做到这一点。您还需要提供有效的代码,如果是苹果,则为 AAPL
而不是 appl
import pandas as pd
from pandas_datareader import data, wb
import datetime
start = datetime.datetime(2016,1,1)
end = datetime.date.today()
apple = data.DataReader(input("Please Input the name of the Ticker:\n"), "yahoo", start, end)
type(apple)
apple.head()
Please Input the name of the Ticker:
AAPL
Open High Low Close Volume Adj Close
Date
2016-01-04 102.610001 105.370003 102.000000 105.349998 67649400 103.057063
2016-01-05 105.750000 105.849998 102.410004 102.709999 55791000 100.474523
2016-01-06 100.559998 102.370003 99.870003 100.699997 68457400 98.508268
2016-01-07 98.680000 100.129997 96.430000 96.449997 81094400 94.350769
2016-01-08 98.550003 99.110001 96.760002 96.959999 70798000 94.849671
我想创建一个程序,将获取用户选择的股票和
return 使用 Pandas 中的 web.DataReader
函数的信息。任何建议或替代解决方案将不胜感激。
import pandas as pd
import pandas.io.data as web # Package and modules for importing data; this code may change depending on pandas version
import datetime
start = datetime.datetime(2016,1,1)
end = datetime.date.today()
apple = web.DataReader(input(""), "yahoo", start, end)
type(apple)
apple.head()
结果
input("") in web.DataReader statement
OSError: after 3 tries, Yahoo! did not return a 200 for url 'http://ichart.finance.yahoo.com/table.csv?s=appl&a=0&b=1&c=2016&d=11&e=8&f=2016&g=d&ignore=.csv'
既然数据阅读器已经移到他们自己的包中,那么您应该如何真正做到这一点。您还需要提供有效的代码,如果是苹果,则为 AAPL
而不是 appl
import pandas as pd
from pandas_datareader import data, wb
import datetime
start = datetime.datetime(2016,1,1)
end = datetime.date.today()
apple = data.DataReader(input("Please Input the name of the Ticker:\n"), "yahoo", start, end)
type(apple)
apple.head()
Please Input the name of the Ticker:
AAPL
Open High Low Close Volume Adj Close
Date
2016-01-04 102.610001 105.370003 102.000000 105.349998 67649400 103.057063
2016-01-05 105.750000 105.849998 102.410004 102.709999 55791000 100.474523
2016-01-06 100.559998 102.370003 99.870003 100.699997 68457400 98.508268
2016-01-07 98.680000 100.129997 96.430000 96.449997 81094400 94.350769
2016-01-08 98.550003 99.110001 96.760002 96.959999 70798000 94.849671