I have a list of 200 tickers which I'm trying to to import from csv into one large dataframe like this:
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)
My concat
code does not work, and it only shows prices for 'SPY'. Could someone please tell how to get it for 'AAPL' as well? I have a list of 200 stocks or so, want to merge it all together
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)
Outputs
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
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