Handling Screener errors in a for loop

LRE42

Hello! When using the Python api to loop through criteria to screen for companies, the api is kicking out errors in some passes. Do you have any advice on how to store these errors and/or supress/skip over them to speed the loop up? Below is the code. The error arises because for some countries and industry code combinations, zero companies come out of the screener. Thanks a lot for your help.

import refinitiv.data as rd
rd.open_session()

import pandas as pd

indcode = [52, 53, 54, 57]
region = ["ES","AD","SM"]
syntax = "SCREEN(U(IN(Equity(active,public,primary))), CURN=USD"
CATfields = ["TR.CommonName", "TR.HeadquartersCountry", "TR.HQCountryCode"]

dataCAT2 = []
for i in region:
    for j in indcode:
        dataCAT1 = rd.get_data(syntax + f", IN(TR.TRBCEconSectorCode,{j}), IN(TR.HQCountryCode,{i}))", CATfields)
        dataCAT2.append(dataCAT1)
df1 = pd.concat(dataCAT2)

jonathan.legrand

Hi @LRE42 ,

I tested your code and it works, even though it throws warning messages. Are you simply just trying to suppress these messages? If so, have you had a look on StackOverflow? I found the following which I think may be of use:

https://stackoverflow.com/questions/14463277/how-to-disable-python-warnings