Hello all, I am new on this list and computer programming I have two distinct statistical files (both csv) 1. Report_2_5 – this is a report dump containing over a 10 million records and is different every day 2. Customer_id dump – this is a daily dump of customers who have made payments. This is generally a million record I need to extract past history depending on customers who make regular payments For example, Report_2_5 Customer ID, Plan_NO, stat1, vol2, amount3 2134, Ins1, 10000, 20000, 10 2112, Ins3, 30000, 20000, 10 2121, Ins3, 30000, 20000, 10 2145, Ins2, 15000, 10000, 5 2245, Ins2, 15000, 10000, 5 0987, Ins1, 10000, 20000, 10 4546, Ins1, 10020, 21000, 10 6757, Ins1, 10200, 22000, 10 … customer_id dump 0987 4546 6757 2134 I need to process the Report_2_5 and extract the following output Stat1: 40220 Vol2 : 83000 Amount3 : 40 I am new to programming and I have been extracting this data using MS – Access and I badly need a better solution. Will really appreciate any sample code in python. Thanks in advance Siva
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