Cant reproduce new Refinitiv R package

I am trying to reproduce the new Refinitiv R library as in the following link


https://rdrr.io/github/GreenGrassBlueOcean/RefinitivR/f/README.md


After successfully installing the R package, I was able to run the following command successfully


Data <- EikonGetData(EikonObject = Eikon, rics = c("MMM", "III.L"), = c("TR.PE(Sdate=0D)/*P/E (LTM) - Diluted Excl*/", "TR.CompanyName"))


However, when I am trying to reproduce time series command using the following command:


Timeseries <- EikonGetTimeseries( EikonObject = Eikon, rics = c("MMM", "III.L"),                                , start_date = "2020-01-01T01:00:00", , end_date = paste0(Sys.Date(), "T01:00:00"))

I am getting the following error:


EikonGetTimeseries request returned with length 4
Error in data.table::rbindlist(TimeSeriesList, use.names = TRUE, fill = TRUE) : 
  Column 2 of item 1 is length 2 inconsistent with column 1 which is length 905. Only length-1 columns are recycled.
In addition: Warning messages:
1: In FUN(X[[i]], ...) :
  is.na() applied to non-(list or vector) of type 'environment'
2: In FUN(X[[i]], ...) :
  is.na() applied to non-(list or vector) of type 'environment'
3: In cbind(Date = c(FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE,  :
  number of rows of result is not a multiple of vector length (arg 2)

Best Answer

  • laurens
    laurens Explorer
    Answer ✓


    I am the author of this package.


    I have made yesterday and today a number of commitments to:


    - To be able to work with the latest Eikon Python api version 1.1.6.post2

    - Take out the dependency on python pandas, which caused the issue you mentioned. As the default version of pandas is now 1 in stead of 0.2.5. Pandas now requires additional information which I can not provide by the r interface.

    - A new parsing engine, to do the conversion from nested list from the api to a R data.frame.

    - if verbose = TRUE you can notice the new download manager who tries to retrieve requests multiple times in order to prevent/overcome 400 and 408 errors as much as possible.

    - Many more unit tests to better deal with nested lists. (over 110)

    I therefore suggest to download the latest version from github.

    I guess that @jirapongse.phuriphanvichai was using an older version of the python api and the R RefinitivR package. Therefore his requests turned out ok without issue. You were I guess using an intermediate version. I therefore suggest to regularly download the latest version from Github to ensure you are running the latest version.


Answers