formula to extract multiple rows based on referenec.

JDJong

New Member
Joined
May 2, 2018
Messages
39
Hi All,

From an earlier post, AlanK was able to assist in coming up the formula, which works great.

{=IFERROR(INDEX($A$13:$A$29, MATCH(0, COUNTIF($A$2:A2, $A$13:$A$29), 0)),"")}

However, If i would Change the A2 to A1, it would give me Errors, since the extract of this is the succession of certain pervious entries, I don't want to split an empty row in between, otherwise it makes it impossible to implement the filter function.

Could anyone advise a different Approach to eliminate the empty row?

Thank you in advance.

see below:


  1. Results will be like this:
[TABLE="width: 865"]
<tbody>[TR]
[TD]Invoice number
[/TD]
[TD]Performer
[/TD]
[TD]Descrpition
[/TD]
[TD]Tax rate
[/TD]
[TD]Invoice amount
[/TD]
[TD]Tax Amount
[/TD]
[TD]Currency
[/TD]
[TD]Performance date
[/TD]
[/TR]
[TR]
[TD]PIN100722
[/TD]
[TD]Sweptoff
[/TD]
[TD]PIN200770
[/TD]
[TD]0,00
[/TD]
[TD]18.877,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]03-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100732
[/TD]
[TD]Eastern cleaning
[/TD]
[TD]PIN200773
[/TD]
[TD]23,00
[/TD]
[TD]24.500,00
[/TD]
[TD]4.655,00
[/TD]
[TD]USD
[/TD]
[TD]04-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100737
[/TD]
[TD]DNS
[/TD]
[TD]PIN200788
[/TD]
[TD]0
[/TD]
[TD]10.700,00
[/TD]
[TD]0
[/TD]
[TD]USD
[/TD]
[TD]12-jan-2018
[/TD]
[/TR]
</tbody>[/TABLE]





  1. Table 1
[TABLE="width: 966"]
<tbody>[TR]
[TD]Invoice number
[/TD]
[TD]Company
[/TD]
[TD]Serial number
[/TD]
[TD]Order number
[/TD]
[TD]Tax rate
[/TD]
[TD]Invoice amount
[/TD]
[TD]Tax Amount
[/TD]
[TD]Currency
[/TD]
[TD]Performance date
[/TD]
[/TR]
[TR]
[TD]PIN100722
[/TD]
[TD]Sweptoff
[/TD]
[TD]PIN200770
[/TD]
[TD]5A1433
[/TD]
[TD]0,00
[/TD]
[TD]18.877,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]03-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100732
[/TD]
[TD]Eastern cleaning
[/TD]
[TD]PIN200773
[/TD]
[TD]5A1885
[/TD]
[TD]23,00
[/TD]
[TD]24.000,00
[/TD]
[TD]4.560,00
[/TD]
[TD]USD
[/TD]
[TD]03-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100732
[/TD]
[TD]Eastern cleaning
[/TD]
[TD]PIN200773
[/TD]
[TD]154DN2
[/TD]
[TD]23,00
[/TD]
[TD]500,00
[/TD]
[TD]95,00
[/TD]
[TD]USD
[/TD]
[TD]03-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100733
[/TD]
[TD]Western cleaning
[/TD]
[TD]PIN200779
[/TD]
[TD]6A8162
[/TD]
[TD]23,00
[/TD]
[TD]650.000,00
[/TD]
[TD]123.500,00
[/TD]
[TD]USD
[/TD]
[TD]03-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100734
[/TD]
[TD]Southern cleaning
[/TD]
[TD]PIN200755
[/TD]
[TD]2A4157
[/TD]
[TD]0,00
[/TD]
[TD]16.950,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]08-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100735
[/TD]
[TD]Northern Cleaning
[/TD]
[TD]PIN200784
[/TD]
[TD]9379M61P03
[/TD]
[TD]23,00
[/TD]
[TD]1.292,50
[/TD]
[TD]245,58
[/TD]
[TD]USD
[/TD]
[TD]08-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100736
[/TD]
[TD]Oriental
[/TD]
[TD]PIN200785
[/TD]
[TD]340-051-901-0
[/TD]
[TD]0,00
[/TD]
[TD]4.740,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]12-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100737
[/TD]
[TD]DNS
[/TD]
[TD]PIN200788
[/TD]
[TD]1347M32G08
[/TD]
[TD]0,00
[/TD]
[TD]2.850,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]12-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100737
[/TD]
[TD]DNS
[/TD]
[TD]PIN200788
[/TD]
[TD]3A2704
[/TD]
[TD]0,00
[/TD]
[TD]5.000,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]12-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100737
[/TD]
[TD]DNS
[/TD]
[TD]PIN200788
[/TD]
[TD]6A7906
[/TD]
[TD]0,00
[/TD]
[TD]2.850,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]12-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100738
[/TD]
[TD]KEA
[/TD]
[TD]PIN200789
[/TD]
[TD]340-085-120-0
[/TD]
[TD]0,00
[/TD]
[TD]21.000,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]12-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100739
[/TD]
[TD]KLC
[/TD]
[TD]PIN200787
[/TD]
[TD]1523M71G07
[/TD]
[TD]0,00
[/TD]
[TD]2.850,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]12-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100739
[/TD]
[TD]KLC
[/TD]
[TD]PIN200787
[/TD]
[TD]1851M59P01
[/TD]
[TD]0,00
[/TD]
[TD]2.850,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]12-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100739
[/TD]
[TD]KLC
[/TD]
[TD]PIN200787
[/TD]
[TD]1864M97P01
[/TD]
[TD]0,00
[/TD]
[TD]2.850,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]12-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100740
[/TD]
[TD]874EAP
[/TD]
[TD]PIN200792
[/TD]
[TD]1971M17G01
[/TD]
[TD]0,00
[/TD]
[TD]5.000,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]18-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100741
[/TD]
[TD]DLC
[/TD]
[TD]PIN200797
[/TD]
[TD]340-116-401-0
[/TD]
[TD]0,00
[/TD]
[TD]18.000,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]19-jan-2018
[/TD]
[/TR]
[TR]
[TD]PIN100742
[/TD]
[TD]COPN
[/TD]
[TD]PIN200802
[/TD]
[TD]9511M24P07
[/TD]
[TD]0,00
[/TD]
[TD]7.950,00
[/TD]
[TD]0,00
[/TD]
[TD]USD
[/TD]
[TD]22-jan-2018

[/TD]
[/TR]
</tbody>[/TABLE]
 

Excel Facts

Pivot Table Drill Down
Double-click any number in a pivot table to create a new report showing all detail rows that make up that number

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