How to retrieve a sum of fields with RDP API?

torben1
torben1 Newcomer
in Refinitiv Data Platform

As in Excel I want to get data for the following formula in Excel:

AVAIL(TR.CashAndSTInvestments,TR.CashandEquivalents+TR.Cash+TR.STInvestments)


I tried this jupyter notebook:

currency = "EUR"
bs_fields = ["AVAIL(""TR.CashAndSTInvestments"",""TR.CashandEquivalents""+""TR.Cash""+""TR.STInvestments"")"]

as_of_date = "2023-06-30"
freq = "FY"
period = "FY0, FY-2"
bs_result = fundamental_and_reference.Definition(
universe = ric_liste,
fields = bs_fields,
parameters = {"Scale": 6, "SDate": as_of_date, "Period": period, \
"FRQ": freq, "Curn": currency, "IncludePartial": "No"}
).get_data()

bs_result.data.df


I get the error:

Error code 234 | The 'TR.Cash' is unexpected in formula. A delimiter is probably missing before the lexeme.

I had tried only the "AVAIL"-function with two fields and it works with double ".
But in combination with the addition it doesn't work.
How can I get the result as requested?

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Best Answer

  • Jirapongse
    Jirapongse ✭✭✭✭✭
    Answer ✓

    @torben1

    Thank you for reaching out to us.

    As I know, the fundamental_and_reference services on the desktop and RDP sessions are different.

    The code that works on the desktop session may not work on the RDP session.

    In stead of relying on the AVAIL function, you can do it in Python code.

    For example:

    currency = "EUR"

    bs_fields = ["TR.CashAndSTInvestments","TR.CashandEquivalents","TR.Cash","TR.STInvestments"]


    as_of_date = "2023-06-30"
    freq = "FY"
    period = "FY0, FY-2"
    bs_result = fundamental_and_reference.Definition(
    universe = ric_liste,
    fields = bs_fields,
    parameters = {"Scale": 6, "SDate": as_of_date, "Period": period, \
    "FRQ": freq, "Curn": currency, "IncludePartial": "No"}
    ).get_data()


    df1 = bs_result.data.df
    df1["Cash and Equivalents"] = df1["Cash and Equivalents"].fillna(0)
    df1["Cash"] = df1["Cash"].fillna(0)
    df1["Short Term Investments"] = df1["Short Term Investments"].fillna(0)
    df1["AVAIL_CASH"] = np.where(
        df1['Cash and Short Term Investments'].isnull(), 
        df1['Cash and Equivalents']+df1['Cash']+df1['Short Term Investments'],  
        df1['Cash and Short Term Investments']) 
    df1

    The output is:

    1690260708137.png


Answers

  • torben1
    torben1 Newcomer

    The ric_liste is created as follows:

    response = fundamental_and_reference.Definition(

    ["0#.STOXX"],

    ["TR.CompanyName", "TR.CompanyMarketCap"]

    ).get_data()

    company0 = response.data.df

    ric_liste = company0["Instrument"].tolist()

    ric_liste = sorted(ric_liste)

  • Jirapongse
    Jirapongse ✭✭✭✭✭
    @torben1

    What is the RD session you are using?

    I tested the code and it works fine with the desktop.workspace session.


  • torben1
    torben1 Newcomer
    https://community.developers.refinitiv.com/discussion/comment/107287#Comment_107287

    I use the platform.rdp session.

  • torben1
    torben1 Newcomer

    Thank You for the solution. It works as described.

    I understand that one has to retrieve all components of the sum and for the "Avail"-function one should make a separate column.

    Thank you also for the python-solution for "ZAV" via "fillna(0)". It is the answer to another question I had put in this forum.


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