Python refinitiv.data Screener not working

fabian.echterling

I have the following screener code in python ...

import refinitiv.data as rd
rd.open_session()

syntax = (
  'SCREEN('
  'U(IN(Equity(active,public,primary))),'
  'TR.CompanyMarketCap(Scale=6)>=300,' 
  'TR.F.NetDebtToEBITDA(Period=FY0)<=3,' 
  'NOT_IN(TR.GICSIndustryGroupCode,4010,4020,4030),' 
  'IN(TR.RegCountryCode,IN),' 
  'AVG(TR.Volume(SDate=0D,EDate=0D-29D))>=3,'
  'CURN=USD)'
)
fields = [
  "TR.CommonName",
  "TR.CompanyMarketCap(Scale=6)",
  "TR.F.NetDebtToEBITDA(Period=FY0)",
  "TR.GICSIndustryGroup",
  "TR.RegistrationCountry",
  "AVG(TR.Volume(SDate=0D,EDate=0D-29D))"]

df, e = rd.get_data(syntax, fields)

....which produces the following error:

Traceback (most recent call last):
  File "<string>", line 1, in <module>
ValueError: too many values to unpack (expected 2)

The Excel equivalent is as follows:

=@TR(&quot;SCREEN(U(IN(Equity(active,public,primary))/*UNV:Public*/), TR.CompanyMarketCap(Scale=6)>=300, TR.F.NetDebtToEBITDA(Period=FY0)<=3, NOT_IN(TR.GICSIndustryGroupCode,""4010"",""4020"",""4030""), IN(TR.RegCountryCode,""IN""), AVG(TR.Volume"&"(SDate=0D,EDate=0D-29D))/*Avg Volume last 30 days*/>=3, CURN=USD)";"TR.CommonName;TR.CompanyMarketCap(Scale=6);TR.F.NetDebtToEBITDA(Period=FY0);TR.GICSIndustryGroup;TR.RegistrationCountry;AVG(TR.Volume(SDate=0D,EDate=0D-29D))/*Avg Volu"&"me last 30 days*/";"curn=USD RH=In CH=Fd")

Jirapongse

@fabian.echterling

Thank you for reaching out to us.

The screen formula should be a string and the get_data method returns a dataframe so the code should look like this:

syntax = [
  'SCREEN(',
  'U(IN(Equity(active,public,primary))),',
  'TR.CompanyMarketCap(Scale=6)>=300,' ,
  'TR.F.NetDebtToEBITDA(Period=FY0)<=3,' ,
  'NOT_IN(TR.GICSIndustryGroupCode,4010,4020,4030),' ,
  'IN(TR.RegCountryCode,IN),' ,
  'AVG(TR.Volume(SDate=0D,EDate=0D-29D))>=3,',
  'CURN=USD)']
fields = [
  "TR.CommonName",
  "TR.CompanyMarketCap(Scale=6)",
  "TR.F.NetDebtToEBITDA(Period=FY0)",
  "TR.GICSIndustryGroup",
  "TR.RegistrationCountry",
  "AVG(TR.Volume(SDate=0D,EDate=0D-29D))"]
 
df = rd.get_data("".join(syntax), fields)
df