I hope i am not repeating someone else's question but i couldn't find the answer to my question -
I have a column of text strings that i need to extract the numbers out of each text string but not as a long number, instead into separate columns in order to perform a calculation from the various numbers. eg:
[TABLE="width: 887"]
<tbody>[TR]
[TD]A
[/TD]
[TD]B
[/TD]
[TD]C
[/TD]
[TD]D
[/TD]
[TD]E
[/TD]
[TD]F
[/TD]
[/TR]
[TR]
[TD]100mic Gloss Film 1000mm x 100m on 78mm core
[/TD]
[TD]FP22GLO100001003K
[/TD]
[TD]22
[/TD]
[TD]1000
[/TD]
[TD]100
[/TD]
[TD]3
[/TD]
[/TR]
[TR]
[TD]100mic Gloss Film 1400mm x 1400m x 78mm core
[/TD]
[TD]FP22GLO140014003F
[/TD]
[TD]22
[/TD]
[TD]1400
[/TD]
[TD]1400
[/TD]
[TD]3
[/TD]
[/TR]
[TR]
[TD]125mic Gloss Film 230mm x 60m on 58mm core
[/TD]
[TD]FP23GLO023000602
[/TD]
[TD]23
[/TD]
[TD]230
[/TD]
[TD]60
[/TD]
[TD]2
[/TD]
[/TR]
[TR]
[TD]125mic Gloss Film 230mm x 100m on 58mm core
[/TD]
[TD]FP23GLO023001002OUT
[/TD]
[TD]23
[/TD]
[TD]230
[/TD]
[TD]100
[/TD]
[TD]2
[/TD]
[/TR]
[TR]
[TD]75mic Ultra Matt Film 110mm x 1000m on 78mm core
[/TD]
[TD]FR12MAT011010003
[/TD]
[TD]12
[/TD]
[TD]110
[/TD]
[TD]1000
[/TD]
[TD]3
[/TD]
[/TR]
[TR]
[TD]75mic Ultra Matt Film 190mm x 500m on 78mm core
[/TD]
[TD]FR12MAT019005003
[/TD]
[TD]12
[/TD]
[TD]190
[/TD]
[TD]500
[/TD]
[TD]3
[/TD]
[/TR]
[TR]
[TD]75mic Gloss Film 1400mm x 2000M on 78mm core
[/TD]
[TD]FR12GLO140020003GOLD
[/TD]
[TD]12
[/TD]
[TD]1400
[/TD]
[TD]2000
[/TD]
[TD]3
[/TD]
[/TR]
[TR]
[TD]75mic Imagecare Gloss Film 305x75m on 25mm Imagecare
[/TD]
[TD]FR12IMA030500751GLOF
[/TD]
[TD]12
[/TD]
[TD]305
[/TD]
[TD]75
[/TD]
[TD]1
[/TD]
[/TR]
</tbody>[/TABLE]
I have columns A & B and need to extract the numbers from either column A or B into columns C, D, E & F in order to perform a calculation of the amount of film used of the different types. Column C could read the micron thickness from Column A rather than the 2 digit code in Column B as this is just for sorting not calculating.
Thank you in advance for saving me a lot of time - I currently manually extract the numbers each month and there are about 1,000 rows each time.
I have a column of text strings that i need to extract the numbers out of each text string but not as a long number, instead into separate columns in order to perform a calculation from the various numbers. eg:
[TABLE="width: 887"]
<tbody>[TR]
[TD]A
[/TD]
[TD]B
[/TD]
[TD]C
[/TD]
[TD]D
[/TD]
[TD]E
[/TD]
[TD]F
[/TD]
[/TR]
[TR]
[TD]100mic Gloss Film 1000mm x 100m on 78mm core
[/TD]
[TD]FP22GLO100001003K
[/TD]
[TD]22
[/TD]
[TD]1000
[/TD]
[TD]100
[/TD]
[TD]3
[/TD]
[/TR]
[TR]
[TD]100mic Gloss Film 1400mm x 1400m x 78mm core
[/TD]
[TD]FP22GLO140014003F
[/TD]
[TD]22
[/TD]
[TD]1400
[/TD]
[TD]1400
[/TD]
[TD]3
[/TD]
[/TR]
[TR]
[TD]125mic Gloss Film 230mm x 60m on 58mm core
[/TD]
[TD]FP23GLO023000602
[/TD]
[TD]23
[/TD]
[TD]230
[/TD]
[TD]60
[/TD]
[TD]2
[/TD]
[/TR]
[TR]
[TD]125mic Gloss Film 230mm x 100m on 58mm core
[/TD]
[TD]FP23GLO023001002OUT
[/TD]
[TD]23
[/TD]
[TD]230
[/TD]
[TD]100
[/TD]
[TD]2
[/TD]
[/TR]
[TR]
[TD]75mic Ultra Matt Film 110mm x 1000m on 78mm core
[/TD]
[TD]FR12MAT011010003
[/TD]
[TD]12
[/TD]
[TD]110
[/TD]
[TD]1000
[/TD]
[TD]3
[/TD]
[/TR]
[TR]
[TD]75mic Ultra Matt Film 190mm x 500m on 78mm core
[/TD]
[TD]FR12MAT019005003
[/TD]
[TD]12
[/TD]
[TD]190
[/TD]
[TD]500
[/TD]
[TD]3
[/TD]
[/TR]
[TR]
[TD]75mic Gloss Film 1400mm x 2000M on 78mm core
[/TD]
[TD]FR12GLO140020003GOLD
[/TD]
[TD]12
[/TD]
[TD]1400
[/TD]
[TD]2000
[/TD]
[TD]3
[/TD]
[/TR]
[TR]
[TD]75mic Imagecare Gloss Film 305x75m on 25mm Imagecare
[/TD]
[TD]FR12IMA030500751GLOF
[/TD]
[TD]12
[/TD]
[TD]305
[/TD]
[TD]75
[/TD]
[TD]1
[/TD]
[/TR]
</tbody>[/TABLE]
I have columns A & B and need to extract the numbers from either column A or B into columns C, D, E & F in order to perform a calculation of the amount of film used of the different types. Column C could read the micron thickness from Column A rather than the 2 digit code in Column B as this is just for sorting not calculating.
Thank you in advance for saving me a lot of time - I currently manually extract the numbers each month and there are about 1,000 rows each time.