How to connect the R Script to the latest version of Eikon API?

mariellejoy
mariellejoy LSEG
in Eikon Data APIs

Raising this on behalf of an external client. I would like to use this language to access the Eikon API and I see there is a Python package, but looking for an R package.

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Best Answer

  • Jirapongse
    Jirapongse ✭✭✭✭✭
    Answer ✓

    @mariellejoy

    Thank you for reaching out to us.

    As far as I know, we don't officially provide the R library for Eikon Data API.

    There is the Eikon Data API library for R available on GitHub but it is a community version.

Answers

  • wasin.w
    wasin.w admin

    Hello @mariellejoy

    Please note that the eikonapir is not LSEG product and is not supported by LSEG.

    If you have any questions or encounter issues with the product, please contact the developer directly via GitHub directly.

  • fabian.echterling
    fabian.echterling Newcomer

    Use the latest refinitiv-data library (or the old eikon one) and use the reticulate package to connect to the python environment where you pull the data via python. Then you only need to focus on data pulling via python and can continue with data wrangling in R.
    In my case reticulate had problems with x64 data formats and I wrote the following function for cleaning/transforming these:

    def CleanDtypes(df):

      df.reset_index(drop = True,inplace = True)

      for col in df.select_dtypes(include=['float64']).dtypes.to_dict():
        df[[col]] = df[[col]].astype("float32")

      for col in df.select_dtypes(include=['Int64']).dtypes.to_dict():
        df[[col]] = df[[col]].astype(int)

      for col in df.select_dtypes(include=['string']).dtypes.to_dict():
        df[[col]] = df[[col]].astype(str)

      return df
  • fabian.echterling
    fabian.echterling Newcomer

    P.s.: You can also keep it more R style using the reticulate wrappers for direct python execution in R:

    > library(reticulate)
    > Sys.getenv("RETICULATE_PYTHON")
    [1] "C:\\ProgramData\\Anaconda3\\envs\\someenv"
    > rd <- import("refinitiv.data")
    > pd <- import("pandas")
    > datetime <- import("datetime")
    > 
    > rd$open_session()
    <refinitiv.data.session.Definition object at 0x2a248194650 {name='workspace'}>
    > IndexConst <- rd$get_data(
    +   universe = c('.FTSE'), 
    +   fields = 
    +     c('TR.IndexConstituentRIC', 
    +       'TR.IndexConstituentName',
    +       'TR.IndexConstituentWeightPercent'),
    +   parameters = 
    +     list(
    +       'SDate' = '2023-06-01'
    +       ),
    +   use_field_names_in_headers = TRUE
    + )
    >
    > tibble::as_tibble(IndexConst)
    # A tibble: 100 × 4
       Instrument TR.INDEXCONSTITUENTRIC TR.INDEXCONSTITUENTNAME       TR.INDEXCONSTITUENTW…¹
       <chr>      <chr>                  <chr>                                          <dbl>
     1 .FTSE      STAN.L                 STANDARD CHARTERED PLC ORD                     0.789
     2 .FTSE      CRDA.L                 CRODA ORD                                      0.444
     3 .FTSE      ANTO.L                 ANTOFAGASTA ORD                                0.248
     4 .FTSE      BNZL.L                 BUNZL ORD                                      0.551
     5 .FTSE      SGE.L                  SAGE GROUP ORD                                 0.460
     6 .FTSE      SVT.L                  SEVERN TRENT ORD                               0.352
     7 .FTSE      BLND.L                 BRITISH LAND REIT                              0.166
     8 .FTSE      ICAG.L                 INTL CONSOLIDATED AIRLINES G…                  0.302
     9 .FTSE      REL.L                  RELX PLC ORD                                   2.54 
    10 .FTSE      SMIN.L                 SMITHS GROUP ORD                               0.297
    # ℹ 90 more rows
    # ℹ abbreviated name: ¹TR.INDEXCONSTITUENTWEIGHTPERCENT
    # ℹ Use `print(n = ...)` to see more rows

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