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bill39 avatar image
32 ●8 ●6 ●7

Dynamic trailing one year request

For the following code, how to I set the end date as today and the start date as one year previous? I would like the formula to be dynamic so that I can run this daily and it always generates the request for the trailing previous year.
df, e = ek.get_data(['AEFS.L'], 
    ['TR.RNSFilerName',                                                        
    'TR.RNSAnnouncedDate',                     
    'TR.RNSTransactionType',                     
    'TR.RNSARNumShrsTransacted',                     
    'TR.RNSARPctOSTransacted',                     
    'TR.RNSARTransactionPrice',                     
    'TR.RNSARMktValTransaction',                     
    'TR.RNSARTotShrsPostTrans',                     
    'TR.RNSARPctOSPostTrans'])

start_date = '2019-01-31'
end_date = '2020-01-31'

df['RNS Announced Date'] = pd.to_datetime(df['RNS Announced Date'])mask = (df['RNS Announced Date'] > start_date) & (df['RNS Announced Date'] <= end_date)

df = df.loc[mask]

df
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Alex Putkov.1 avatar image   Alex Putkov.1

@bill39

Thank you for your participation in the forum. Are any of the replies below satisfactory in resolving your query? If yes please click the 'Accept' text next to the reply that best answers your question. This will guide all community members who have a similar question. Otherwise please post again offering further insight into your question.

Thanks,

-AHS

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chavalit-jintamalit avatar image
18.2k ●21 ●13 ●21

Hi @bill39

from datetime import timedelta, date, datetime
import pandas as pd

df, e = ek.get_data(['AEFS.L'],
                    ['TR.RNSFilerName',
                     'TR.RNSAnnouncedDate',
                     'TR.RNSTransactionType',
                     'TR.RNSARNumShrsTransacted',
                     'TR.RNSARPctOSTransacted',
                     'TR.RNSARTransactionPrice',
                     'TR.RNSARMktValTransaction',
                     'TR.RNSARTotShrsPostTrans',
                     'TR.RNSARPctOSPostTrans'])
end_date = date.today()
start_date = end_date - timedelta(days=365)

end_date_str = datetime.strftime(end_date, "%Y-%m-%d")
start_date_str = datetime.strftime(start_date, "%Y-%m-%d")

df['RNS Announced Date'] = pd.to_datetime(df['RNS Announced Date'])
mask = (df['RNS Announced Date'] > start_date_str) & (df['RNS Announced Date'] <= end_date_str)
df = df.loc[mask]
df
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