philsivyer
asked on
extending out dates
Hello
I have a csv file where some of the data needs extending based on what is in current file.
Sample data as follows.........
Cpy Period Repeats Date Value
A001-20110130 Monthly 3 01/02/2011 100
A001-20110330 Null 0 01/04/2010 45
A004-20110130 Quarterley 2 10/02/2011 234
A005-20110130 Null 0 01/06/2011 100
etc
so, based on above data I need to add rows based on "Period & Repeats" columns having values.
Row1 will now have 3 more rows added and the only thing that will change is the date column.
Row 3 will have 2 more rows added and again only the date value will change. The idea is to extend out the dates based on columns "Period & Repeats." Now, my new data set based on the above rules should read as follows....
Cpy Period Repeats Date Value
A001-20110130 Monthly 3 01/02/2011 100
A001-20110130 Monthly 01/03/2011 100
A001-20110130 Monthly 01/04/2011 100
A001-20110130 Monthly 01/05/2011 100
A001-20110330 Null 0 01/04/2010 45
A004-20110130 Quarterley 2 10/02/2011 234
A004-20110130 Quarterley 10/05/2011 234
A004-20110130 Quarterley 10/08/2011 234
A005-20110130 Null 0 01/06/2011 100
Hope this makes sense.
Regards
I have a csv file where some of the data needs extending based on what is in current file.
Sample data as follows.........
Cpy Period Repeats Date Value
A001-20110130 Monthly 3 01/02/2011 100
A001-20110330 Null 0 01/04/2010 45
A004-20110130 Quarterley 2 10/02/2011 234
A005-20110130 Null 0 01/06/2011 100
etc
so, based on above data I need to add rows based on "Period & Repeats" columns having values.
Row1 will now have 3 more rows added and the only thing that will change is the date column.
Row 3 will have 2 more rows added and again only the date value will change. The idea is to extend out the dates based on columns "Period & Repeats." Now, my new data set based on the above rules should read as follows....
Cpy Period Repeats Date Value
A001-20110130 Monthly 3 01/02/2011 100
A001-20110130 Monthly 01/03/2011 100
A001-20110130 Monthly 01/04/2011 100
A001-20110130 Monthly 01/05/2011 100
A001-20110330 Null 0 01/04/2010 45
A004-20110130 Quarterley 2 10/02/2011 234
A004-20110130 Quarterley 10/05/2011 234
A004-20110130 Quarterley 10/08/2011 234
A005-20110130 Null 0 01/06/2011 100
Hope this makes sense.
Regards
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