How to retreive any data using API which is using GRSUM function in excel?
@avinash.sonde
Thank you for reaching out to us.
Please refer to the following discussion.
You can try it with the LSEG Data Library for Python with ld.get_data method.
@Jirapongse Thank you for checking.
I tried something similar to what was mentioned there:
today = datetime.today().strftime('%Y-%m-%d')
df_1 = ld.get_history(universe=["BHP.AX" ,"RIO.AX","FMG.AX","S32.AX","SAR.AX","ILU.AX","OZL.AX","IGO.AX","WHC.AX"],fields = ["GRSUM(TR.EVtoEBITDTAMean)"],parameters={'SDate': '2001-01-05','EDate': today,'Frq':'W','Curn':'USD',"Period":'NTM'})
This however gives an error that :
LDError: The 'TR.EVTOEBITDTAMEAN' is unrecognized. Requested universes: ['BHP.AX', 'RIO.AX', 'FMG.AX', 'S32.AX', 'SAR.AX', 'ILU.AX', 'OZL.AX', 'IGO.AX', 'WHC.AX']. Requested fields: ['GRSUM(TR.EVTOEBITDTAMEAN)']
“TR.EVTOEBITDTAMEAN” appears to be a typo. The correct one could be "TR.EVtoEBITDAMean". Please contact the content team to confirm it.
Please share the formula used in the Workspace Excel file that returns the required data.
The code could be like this:
import pandas as pd df = ld.get_data( universe=["BHP.AX" ,"RIO.AX","FMG.AX","S32.AX","SAR.AX","ILU.AX","OZL.AX","IGO.AX","WHC.AX"], fields = [ "GRSUM(TR.EVtoEBITMean,universe='univ',SDate=2001-01-05, EDate=2025-09-09, Frq=W, Curn=USD)", "TR.EVtoEBITMean(SDate=2001-01-05, EDate=2025-09-09, Frq=W).CalcDate" ], parameters={"SORTD":"calcdate"}) grsum = df[df["Instrument"] == 'n/a'].iloc[:,1].dropna().values.tolist() grsum.remove('NaN') calc_date = df[df["Calc Date"].notna()]['Calc Date'].unique().tolist() calc_date.sort() data = { "Date": calc_date, "GRSUM": grsum } df = pd.DataFrame(data) df