Load sales geographical split for a list of companies

emmanuel.chaslin
emmanuel.chaslin Explorer
in Eikon Data APIs

Hello,

The below formulas on excel give me the split of sales by country for a chosen company that has published financials. I would like to do that for a list of companies, via the Python API.

10873-image.png

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Best Answer

  • Jirapongse
    Jirapongse ✭✭✭✭✭
    Answer ✓
    @emmanuel.chaslin

    The code should like this:

    df,err = ek.get_data(["PEP.O","IBM.N"],
    [
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY0).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY0).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY0)",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-1).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-1).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-1)",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-2).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-2).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-2)",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-3).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-3).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-3)",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-4).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-4).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-4)",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-5).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-5).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-5)",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-6).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-6).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-6)",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-7).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-7).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-7)",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-8).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-8).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-8)",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-9).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-9).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-9)",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-10).segmentName",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-10).periodEndDate",
    "TR.BGS.GeoExternalRevenue(Scale=6,Period=FY-10)"

    ]
    )
    df

    The output is:

    ![10874-image.png][1]


    [1]: /storage/attachments/10874-image.png

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