Display fields selected in RDP Search

Hi @anass.yazane.1
For reference, I'd like to put the solution provided by the Customer support executive regarding the closed case number 10871053 here.

Upon collaborating with our backend teams and Dev, I was able to confirm that the issue lies on the RDP.Search python library function. 

To give more context to this, unlike the underlying RDP Search API, the RDP.Search python library function does not preserve the column order specified in the ‘SELECT’ parameter. 

 It will be considered for a future enhancement, hopefully on the next version.

 For now, the only way to do this would be to manipulate the results to display the columns in the preferred order.  A couple of possible ways to do this are below

1. Use the selected properties to specify the column names when displaying the dataframe - see changes to original highlighted below. (This works as long as all selected properties appear in the results. May not always be true with very small result sets.)

   import refinitiv.dataplatform as rdp
   import pandas as pd
   import datetime as dt
   Interval_IssueDate=30
   Interval_MatDate=365
   select_properties = "IssuerDescription,Currency,RIC,ISIN,CouponClass,MaturityDate,IssueDate,CouponRate,FaceIssuedTotal,AssetStatusDescription,SeniorityTypeDescription"
   rdp.open_desktop_session(XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX)
   df_NewIssues=rdp.search(view=rdp.SearchViews.GovCorpInstruments,filter= "MaturityDate gt " + str(dt.date.today()+dt.timedelta(days=Interval_MatDate)) + "  and IssueDate gt " + str(dt.date.today()+dt.timedelta(days=-Interval_IssueDate)) + "  and \
               DbTypeDescription eq 'Corporate' and IssuerTicker eq 'CAFDDC' and IsActive eq true and not(AssetStatus in ('MAT' 'DC'))",
       select = select_properties,
       order_by= "IssueDate,Currency",
       top = 100
   )
   df_NewIssues[select_properties.split(","

2. Display the response in raw JSON format (as this does preserve the column order). This uses a lower level function rdp.Search.search, see highlighted changes below.

   import refinitiv.dataplatform as rdp
   import pandas as pd
   import datetime as dt
   Interval_IssueDate=30
   Interval_MatDate=365
   rdp.open_desktop_session(XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX)
   df_NewIssues=rdp.Search.search(view=rdp.SearchViews.GovCorpInstruments,filter= "MaturityDate gt " + str(dt.date.today()+dt.timedelta(days=Interval_MatDate)) + "  and IssueDate gt " + str(dt.date.today()+dt.timedelta(days=-Interval_IssueDate)) + "  and \
               DbTypeDescription eq 'Corporate' and IssuerTicker eq 'CAFDDC' and IsActive eq true and not(AssetStatus in ('MAT' 'DC'))",
       select = "IssuerDescription, Currency, RIC, ISIN, CouponClass, MaturityDate, IssueDate, \
                   CouponRate, FaceIssuedTotal,AssetStatusDescription,SeniorityTypeDescription",
       order_by= "IssueDate,Currency",
       top = 100
   )
   df_NewIssues.data.raw
    
   Response:
    
   {'Total': 5,
   'Hits': [{'IssuerDescription': 'BANQUE FEDERATIVE DU CREDIT MUTUEL SA',
      'Currency': 'EUR',
      'RIC': 'FR0014007PV3=',
      'ISIN': 'FR0014007PV3',
      'CouponClass': 'FIX',
      'MaturityDate': '2027-11-19T00:00:00.000Z',
      'IssueDate': '2022-01-19T00:00:00.000Z',
      'CouponRate': 0.625,
      'FaceIssuedTotal': 750000000,
      'AssetStatusDescription': 'Issued',
      'SeniorityTypeDescription': 'Senior Non-Preferred'},
     {'IssuerDescription': 'BANQUE FEDERATIVE DU CREDIT MUTUEL SA',
      'Currency': 'EUR',
      'RIC': 'FR0014007PW1=',
      'ISIN': 'FR0014007PW1',
      'CouponClass': 'FIX',
      'MaturityDate': '2032-01-19T00:00:00.000Z',
      'IssueDate': '2022-01-19T00:00:00.000Z',
      'CouponRate': 1.125,
      'FaceIssuedTotal': 1250000000,
      'AssetStatusDescription': 'Issued',
      'SeniorityTypeDescription': 'Senior Non-Preferred'},
   etc
   etc
    
   Last line can also be changed to the following, to show only the records, not the total:
   df_NewIssues.data.raw['Hits']