Getting KeyError: "headers" from data request
Hello! While trying to search for companies in a specific country under a specific TRBC Activity name (industry or sector basically) with the SCREEN function, I get a KeyError: 'headers' from the screen data request:
Belgium = pd.DataFrame()
for item in TRBC_Sectors:
country = '"BE"'
activity = item
exp = 'SCREEN(U(IN(Equity(active,public,private,primary))), IN(TR.RegCountryCode,{}), IN(TR.TRBCActivityCode,{}), CURN=USD)'.format(country,activity)
fields = ["TR.CommonName","TR.TRBCActivity"]
output, err = ek.get_data(exp, fields)
Belgium = Belgium.append(output)
while TRBC_Sectors is a list with strings for each of the TRBC Activity sectors: e.g.
['5010101010', '5010101011', '5010101012', '5010201010', '5010202010', '5010202011', '5010202012', '5010202013', '5010202014', '5010202015', '5010203010', '5010203011', '5010203012', '5010203013', '5010301010', '5010301011', '5010301012', '5010301013', '5010301014']
Error message:
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-23-8361b97df6fa> in <module>
5 exp = 'SCREEN(U(IN(Equity(active,public,private,primary))), IN(TR.RegCountryCode,{}), IN(TR.TRBCActivityCode,{}), CURN=USD)'.format(country,activity)
6 fields = ["TR.CommonName","TR.TRBCActivity"]
----> 7 output, err = ek.get_data(exp, fields)
8 Belgium = Belgium.append(output)
~\AppData\Local\Continuum\anaconda3\lib\site-packages\eikon\data_grid.py in get_data(instruments, fields, parameters, field_name, raw_output, debug)
195 return result
196 --> 197 return get_data_frame(result, field_name)
198 199
~\AppData\Local\Continuum\anaconda3\lib\site-packages\eikon\data_grid.py in get_data_frame(data_dict, field_name)
244 headers = [header.get('field', header.get('displayName')) for header in data_dict['headers'][0]]
245 else:
--> 246 headers = [header['displayName'] for header in data_dict['headers'][0]]
247 data = pd.np.array([[get_data_value(value) for value in row] for row in data_dict['data']])
248 if len(data):
KeyError: 'headers'
Best Answer
Code here:
TRBC_Sectors = ['5010101010', '5010101011', '5010101012', '5010201010', '5010202010', '5010202011', '5010202012', '5010202013', '5010202014', '5010202015', '5010203010', '5010203011', '5010203012', '5010203013', '5010301010', '5010301011', '5010301012', '5010301013', '5010301014']
Belgium = pd.DataFrame()
for item in TRBC_Sectors:
try:
print("Trying sector: %s" % item)
exp = 'SCREEN(U(IN(Equity(active,public,private,primary))), IN(TR.RegCountryCode, "BE"), IN(TR.TRBCActivityCode,{}), CURN=USD)'.format(item)
output, err = ek.get_data(exp, ["TR.CommonName", "TR.TRBCActivity"])
print("Received size: %s" % str(output.size))
Belgium = Belgium.append(output)
except Exception as exp:
print("Error getting data for: %s" % item)
5010202012 seems to be an invalid TRBC Sector code.
Gurpreet @
No, it is not the problem here. I tried the same screen using TR.TRBCBusinessSectorCode and corresponsing codes (see below) but the error message is the same.
['5010', '5020', '5030', '5110', '5120', '5130', '5210', '5220', '5230', '5240', '5310', '5320', '5330', '5340', '5410', '5420', '5430', '5510', '5560', '5530', '5540', '5550', '5610', '5620', '5710', '5720', '5810', '5910']
Many thanks Gurpreet @, there may be many of these invalid TRBC Activity Codes although I received them from Refinitiv Support Desk.
Gurpreet @
No, it is not the problem here. I tried the same screen using TR.TRBCBusinessSectorCode and corresponsing codes (see below) but the error message is the same.
['5010', '5020', '5030', '5110', '5120', '5130', '5210', '5220', '5230', '5240', '5310', '5320', '5330', '5340', '5410', '5420', '5430', '5510', '5560', '5530', '5540', '5550', '5610', '5620', '5710', '5720', '5810', '5910']
Just use a Try/Catch block to get past invalid sector codes -
Trying sector: 5010101010 Received size: 60 Trying sector: 5010101011 Received size: 12 Trying sector: 5010101012 Received size: 3 Trying sector: 5010201010 Received size: 15 Trying sector: 5010202010 Received size: 18 Trying sector: 5010202011 Received size: 9 Trying sector: 5010202012 Error getting data for: 5010202012 Trying sector: 5010202013 Error getting data for: 5010202013 Trying sector: 5010202014 Error getting data for: 5010202014 Trying sector: 5010202015 Error getting data for: 5010202015 Trying sector: 5010203010 Received size: 42 Trying sector: 5010203011 Received size: 390 Trying sector: 5010203012 Received size: 552 Trying sector: 5010203013 Received size: 24 Trying sector: 5010301010 Error getting data for: 5010301010 Trying sector: 5010301011 Error getting data for: 5010301011 Trying sector: 5010301012 Error getting data for: 5010301012 Trying sector: 5010301013 Error getting data for: 5010301013 Trying sector: 5010301014 Error getting data for: 5010301014