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This is the function and iteration:
(Tickers.xlsx is a list with 450 RICs)
However when I do this, it works:
When I try to put it in a loop, it doesn't want to work. I need to do the above for 457 RICs, really wouldn't want to do it manually one by one. Sorry if the question may be dumb, I am a beginner! Thank you in advance for the responses.
I think the easiest way to get what you want is to retrieve all the fields for all the stocks in one call:
rics = ['SINCH.ST','INVEb.ST','ADDTb.ST','AAK.ST']
ek.get_data(rics,
['TR.CompanyName','TR.HeadquartersCountry','TR.ICBIndustry',
'TR.ICBSuperSector','TR.ICBSubSector','TR.TotalAssets',
'TR.TotalLiabilities','TR.CompanyMarketCap'],
{'CURN':'EUR'})
But if for whatever reason you need to retrieve the data in a loop (one or several stocks at a time), then you need to correctly concatenate the results, which is where the problem is in your code. E.g.
def get_main_data(ric):
df, err = ek.get_data(ric,
['TR.CompanyName','TR.HeadquartersCountry',
'TR.ICBIndustry','TR.ICBSuperSector',
'TR.ICBSubSector','TR.TotalAssets',
'TR.TotalLiabilities','TR.CompanyMarketCap'],
{'CURN':'EUR'})
df.set_index('Instrument', inplace=True)
return df
df = pd.DataFrame()
for ric in ['SINCH.ST','INVEb.ST','ADDTb.ST','AAK.ST']:
df = df.append(get_main_data(ric))
df
Finally, if you'd like the resulting dataframe to have field names as rows and stock RICs as columns, use pandas transpose method:
df.transpose()
