What is the correct field or sub-property to retrieve the business segment name associated with each

myla.dumanhog

Using the LSEG Data Library for Python (Desktop session), I am able to retrieve numeric business segment data such as TR.SegmentRevenueActValue for Japanese listed companies. However, the returned DataFrame only contains numeric values and does not include:

• The business segment name
• The fiscal period or period end date associated with each value

For example, the following code returns numbers but no segment metadata:

import lseg.data as ld

ld.open_session()

df = ld.get_data(

universe=['7203.T'],

fields=[

'TR.SegmentRevenueActValue',

'TR.SegmentOpProfitActValue',

'TR.SegmentEBITDAActValue'

],

parameters={

'SDate': 'FY-2',

'EDate': 'FY0',

'Frq': 'FY'

}

)

print(df)

Questions:

1. What is the correct field or sub-property to retrieve the business segment name associated with each segment value?
2. What is the correct way to include the fiscal period or period end date per row?
3. Is there a recommended approach to reshape the output so that each row represents one:
   • Company (RIC)
   • Fiscal period (annual or quarterly)
   • Business segment

Target Output:

One row per (RIC, fiscal year or fiscal quarter, business segment) including, where available:

• RIC
• Period end date
• Business segment name
• Segment revenue
• Segment operating profit
• Segment EBITDA
• Segment assets
• Segment depreciation

My goal is simply to download business segment data for both annual and quarterly periods with full segment context.

Thank you for your assistance.

Jirapongse

@myla.dumanhog

Thank you for reaching out to us.

This forum is dedicated to software developers using LSEG APIs. The moderators on this forum do not have deep expertise in every bit of content available through LSEG products, which is required to answer content questions such as this one.

The best resource for content questions is the Helpdesk support team, which can be reached by submitting queries through LSEG Support. The support team will either have the required content expertise ready available or can reach out to relevant content experts to get the answer for you.

You need to ask for the Excel formula, such as =RDP.Data, that can be used to retrieve the required data. Then, we can help you converting that formula to Python code. You can also refer to this How to Convert the =@RDP.Data Excel Function into Code Using the LSEG Data Library for Python article.

Otherwise, you can use the Data Item Browser tool to search for fields and parameters.