Data seems to be incorrect using Python API for RIC aUSUNR/A

Terence_97

Hi team, I am raising this on behalf of an external client:

Based on what I have checked, I compared the data to our excel workspace as well on our Charts app and we can't seem to get the said incorrect values. Please see screenshots below: 

Excel:

Chart:

 Please see attached file for the client's script.

Estimates data team confirmed that this is not a content issue. Can you help us get the reason behind the values below:

Codelseg.docx

lseg_monthly_complete.xls

This is the file that was used to do referencing (please see above file)

Jirapongse

@Terence_97

Thank you for reaching out to us.

It looks like to be a problem in the library.

I ran this code and got incorrect values.

monthly_instruments = [
    'USFOMC=ECI',    # Federal Funds Rate
    'aUSCMS1B/A',    # US M1 Total USD
    'aUSCPIYYR',     # US CPI Year over Year
    'aUSCCORYE/A',   # US Core CPI Year over Year
    '.DXY',          # Dollar Index
    'aUSUNR/A',      # US Unemployment Rate
    'USISMN=ECI',    # US ISM Manufacturing
    'USNPMI=ECI',    # US Non-Manufacturing PMI
    'aUSCGOVA'       # US Fiscal Balance (NOUVEAU)
]

START_DATE = '2004-01-01'  # Modifiez cette date selon vos besoins
END_DATE = '2025-11-07'    # Date de fin

raw_df = ld.get_history(
    universe=monthly_instruments,
    interval='monthly',
    start=START_DATE,
    end=END_DATE,
    )
raw_df

However, if I requested only one RIC, the data is correct.

raw_df = ld.get_history(
    universe='aUSUNR/A',
    interval='monthly',
    start=START_DATE,
    end=END_DATE,
    )
raw_df

Please escalate this issue to the LSEG Data Library for Python product team to investigate this issue.