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Jan avatar image
18 ●2 ●0 ●6

Period end date not pulling through properly

Hi there

I'm pulling financial year ends for "BMY" using the following in python:

import eikon as ek

ek.set_app_id('A463F83CEF29FFA4DE13CCC6')

fields = ['TR.PriceClose.calcdate','TR.EPSMean(Period=FY-3).periodenddate','TR.EPSMean(Period=FY-2).periodenddate','TR.EPSMean(Period=FY-1).periodenddate','TR.EPSMean(Period=FY0).periodenddate','TR.EPSMean(Period=FY1).periodenddate','TR.EPSMean(Period=FY2).periodenddate','TR.EPSMean(Period=FY3).periodenddate']

df, err = ek.get_data('BMY', fields, {'SDate': '2017-08-31', 'EDate': '1997-12-01', 'Frq': 'W'})

At calc date of 1998-01-23 (see attached output), I get the same date (1997-12-31) for both FY0 and FY1. This deviates from what I observe with the other records in the output file and also deviates from what I get when using the excel API. Please advise.

bmy.txt

eikoneikon-data-apiworkspaceworkspace-data-apirefinitiv-dataplatform-eikonpython
bmy.txt (92.6 KiB)
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3 Answers

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Alex Putkov.1 avatar image
39.2k ●75 ●11 ●27

It's very unfortunate, but it doesn't look like there's a quick fix for this issue. The issue is logged, but it doesn't look like it can be addressed in a matter of days or weeks. In the meantime the workaround is to retrieve the date column for each field and realign the dataframe or merge dataframes using dates as index as suggested on this thread:
https://community.developers.refinitiv.com/questions/19378/calcdate-not-equal-for-all-fields-in-eikon-api.html

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Alex Putkov.1 avatar image
39.2k ●75 ●11 ●27

This is the same issue as previously reported here and here. Null values or data gaps are pushed down to the bottom of the column, thus screwing up the alignment of data between rows and columns. The bug is being worked on.

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Jan avatar image
18 ●2 ●0 ●6

Thanks Alex.

In the query posted here I switched the start and end dates- a work-around suggested by yourself in this post. This work-around solved my issue previously. Any suggestions why it would not work in this case?

Also, we are migrating many of our day-to-day processes from the Excel API to the Python API. Any indication when these issues will be resolved?

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