Python 如何相互追加/合并股票价格

Python 如何相互追加/合并股票价格,python,pandas,stocks,Python,Pandas,Stocks,我有一个通过csv导入的ticker列表,然后导入到这样的数组中 tickers = ['SPY', 'AAPL',] for ticker in tickers: start = datetime.datetime(2017, 1, 1) end = datetime.datetime(2018, 10, 3) ticker1 = data.DataReader(ticker,'iex', start, end) stocks_prices = pd.con

我有一个通过csv导入的ticker列表,然后导入到这样的数组中

tickers = ['SPY', 'AAPL',]

for ticker in tickers:
    start = datetime.datetime(2017, 1, 1)
    end = datetime.datetime(2018, 10, 3)
    ticker1 = data.DataReader(ticker,'iex', start, end)

    stocks_prices = pd.concat([ticker1],axis=1,keys=tickers)
我的concat代码不起作用。它只显示间谍的价格。有人能告诉我如何为AAPL获得它吗?我有一张大约200只股票的清单,想把它们合并在一起吗

谢谢

输出


您可能希望尝试从ticker1(表示“SPY”)和ticker2(表示“AAPL”)创建帧。例如,
frames=[ticker1,ticker2]
,然后
stock\u prices=pd.concat(frames)
是的,但这里我只有2只股票,而它有200只股票。我必须手动将ticker1写入ticker200。对吧?就像哈克斯塔说的汉克斯兄弟。理解。我会试试看。
import datetime
import pandas_datareader.data as web
import pandas as pd
tickers = ['SPY', 'NVTR',]

frames=[]
for ticker in tickers:
    start = datetime.datetime(2018, 10, 1)
    end = datetime.datetime(2018, 10, 3)
    ticker1 = web.DataReader(ticker,'iex', start, end)
    frames.append(ticker1)

stocks_prices = pd.concat(frames,keys=tickers)
print(stocks_prices)
                   open     high     low   close    volume
     date                                                 
SPY  2018-10-01  292.11  292.930  290.98  291.73  62078937
     2018-10-02  291.56  292.355  291.14  291.56  47258227
     2018-10-03  292.74  293.210  291.32  291.72  64694594
NVTR 2018-10-01   22.01   24.890   21.89   24.10    492424
     2018-10-02   24.39   24.790   23.50   23.68    336636
     2018-10-03   23.68   24.280   22.76   23.97    400894