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Based on this github example, i learn how to create parallel requests with events , where i need to retrieve snapshot data. However, I have a question, how do i concatenate the results to form a larger dataframe ? Code below produce errors, as df_snap is referenced before assignment. Can someone show me the propoer way to…
Hi there, in the github library (Example.DataLibrary.Python/Examples/2-Content/2.01-HistoricalPricing/EX-2.01.02-HistoricalPricing-ParallelRequests.ipynb at main · LSEG-API-Samples/Example.DataLibrary.Python · GitHub) the example given to send parallel requests for 3 names : tasks = asyncio.gather(…
Hi Team, Since the client encountered problems using the RDP Python library for their solution, particularly with accessing historical prices, they have opted to use the Python requests library (with examples provided in the API Playground) to retrieve data. Here is a sample request for historical prices: url =…
Is parallel processing with the eikon module possible? I see from this article that it is possible with Refinitiv Data (RD) Library for Python: https://developers.lseg.com/en/article-catalog/article/leveraging-parallel-programming-in-python I also see from documentation that 5 requests per second is the rate limit when…
We ran two MBO's for different dates and one VBD download. But it looks like it took a huge amount of time for the MBO to generate the data. One of the MBO run took 2.5 hours to generate 350 MBs of data. Is there any impact if we run both the MBO and VBD in parallel and download the data through AWS?
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