SCREEN syntax changes when moving from Eikon Python API to Workspace Python API

dgarrard

I have a SCREEN implementation in Eikon API using Python that has been working fine for many months:

instrument = "SCREEN(U(IN(Equity(active,public,primary,countryprimaryquote))),IN(TR.ExchangeMarketIdCode,XNYS),BETWEEN(TR.Price52WeekHighDate,20240628,20240628))"
df, err = ek.get_data(instrument,['TR.CommonName','TR.PRICECLOSE'])

The above works fine from EIKON Data API

To migrate to Workspace, I must get a similar SCREEN working in Workspace. Here is my attempt:

universe = "SCREEN(U(IN(Equity(active,public,primary,countryprimaryquote))),IN(TR.ExchangeMarketIdCode,XNYS),BETWEEN(TR.Price52WeekHighDate,20240628,20240628))"
fields = ['TR.CommonName','TR.PRICECLOSE']
df, err = rd.get_data(universe, fields)

Here are the errors I am getting:

\Users\SERVERMTL\AppData\Local\Programs\Python\Python39\lib\site-packages\refinitiv\data\_tools\_dataframe.py:192:FutureWarning: Downcasting behavior in `replace` is deprecated and will be removed in a future version. To retain the old behavior, explicitly call `result.infer_objects(copy=False)`. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`
Traceback (most recent call last):
  File "C:\PNC\Stats\Python\GetHighsLows.py", line 31, in <module>
    df, err = rd.get_data(universe, fields)
ValueError: too many values to unpack (expected 2)

The ValueError suggests to me that the SCREEN is called, but not sure what "too many values to unpack" means.

Is SCREEN not available in Workspace? Or are there other errors I have made?

(Also, should I be worrying about the 'replace' warning?)

Jirapongse

@dgarrard

Thank you for reaching out to us.

The rd.get_data method returns only a dataframe. It doesn't retrun an error. Therefore, the code looks like this:

universe = "SCREEN(U(IN(Equity(active,public,primary,countryprimaryquote))),IN(TR.ExchangeMarketIdCode,XNYS),BETWEEN(TR.Price52WeekHighDate,20240628,20240628))"
fields = ['TR.CommonName','TR.PRICECLOSE']
df = rd.get_data(universe, fields)

To handle the error, please refer to this discussion.

Regarding the replace warning, it should be fine.