I can get 4 tickers of stockinfo from Alpha Vantage before the rest of the DataFrames are not getting the stockinfo I ask for. So my resulting concatenated df gets interpreted as Nonetype (because the 4 first dfs are formatted differently than the last 2). This is not my problem. The fact that I only get 4 of my requests is... If I can fix that - the resulting concatenated df will be intact.
My code
import pandas as pd
import datetime
import requests
from alpha_vantage.timeseries import TimeSeries
import time
tickers = []
def alvan_csv(stocklist):
api_key = 'demo' # For use with Alpha Vantage stock-info retrieval.
for ticker in stocklist:
#data=requests.get('https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED&symbol=%s&apikey={}'.format(api_key) %(ticker))
df = pd.read_csv('https://www.alphavantage.co/query?function=TIME_SERIES_DAILY_ADJUSTED&datatype=csv&symbol=%s&apikey={}'.format(api_key) %(ticker))#, index_col = 0) &outputsize=full
df['ticker'] = ticker
tickers.append(df)
# concatenate all the dfs
df = pd.concat(tickers)
print('\ndata before json parsing for === %s ===\n%s' %(ticker,df))
df['adj_close'] = df['adjusted_close']
del df['adjusted_close']
df['date'] = df['timestamp']
del df['timestamp']
df = df[['date','ticker','adj_close','volume','dividend_amount','split_coefficient','open','high','low']] #
df=df.sort_values(['ticker','date'], inplace=True)
time.sleep(20.3)
print('\ndata after col reshaping for === %s ===\n%s' %(ticker,df))
return df
if __name__ == '__main__':
stocklist = ['vws.co','nflx','mmm','abt','msft','aapl']
df = alvan_csv(stocklist)
NB. Please note that to use the Alpha Vantage API, you need a free API-Key which you may optain here: https://www.alphavantage.co/support/#api-key Replace the demo API Key with your API Key to make this code work.
Any ideas as to get this to work?