Issues when downloading data

Hi,

I’m using Python for downloading Guidance Summary stuff. The idea is to *not* download the rows in which the value that I'm interesting in (e.g., “low value” or “high value”) is NaN so I can reduce the number of downloads. Also, it seems that sometimes there are duplicate rows. Is there any way of filter this out as well?

Finally, just a quick question about the download limit: What is that limit? Imagine we have a table of 100 rows and 100 columns. Then, we have 100*100 = 10000 cells. Do they count as 10000 downloads?

Thanks!


Best Answer

  • [Deleted User]
    [Deleted User] Newcomer
    Answer ✓

    Hi @ruben.fernandez,

    Unfortunately, there is no way to proactively return only rows without `NaN`s for the fields you are after using the `get_data` function. The reason for this is that, while you may see `NaN`s for the fields you searched, there are others for which there is data (e.g.: 'TR.ASKPRICE') (see screenshot below); you can find such fields in DIB. Have you tried using Search?


    1679914978493.png



    N.B.: I suggest that you use the Refinitiv Data Library for Python as opposed to EDAPI. More details on why here.

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