Multiple columns with their own dedicated timestamp - Join/Combine/Concat timestamps

[#1]

I have many files with the below format, where each measurement has its own recorded timestamp. I'd like a table that has only one time column, so that I can chart multiple variables against the same timeline. 

Here's an example of my data:

datetime_measure1	value_measure1	datetime_measure2	value_measure2	datetime_measure3	value_measure3
1:39:15.000 PM	1.7138	1:39:15.000 PM	400.0345	1:39:15:000 PM	50.9007
1:39:23.071 PM	0.0976	1:39:25.730 PM	399.8793	1:39:17.591 PM	51.7412
1:39:26.410 PM	1.7163	1:39:35.990 PM	399.9487	1:39:33.590 PM	51.1936
1:39:37.150 PM	0.1245	1:39:40.029 PM	400.0361	1:39:50.869 PM	50.9051

Ideally I'd like it to look something like this:

datetime	value_measure1	value_mesure2	value_measure3
1:39:15.000 PM	1.7138	400.0345	50.9007
1:39:17.591 PM	-	-	51.7412
1:39:23.071 PM	0.0976	-	-
1:39:25.730 PM	-	399.8793	-
1:39:26.410 PM	1.7163	-	-
1:39:33.590 PM	-	-	51.1936
1:39:35.990 PM	-	399.9487	-
1:39:37.150 PM	0.1245	-	-
1:39:40.029 PM	-	400.0361	-
1:39:50.869 PM	-	-	50.9051

I have been attempting to use the stack, join, and concatenate formulas in JMP to do this. But it has produced undesirable results. Usually I end up with "value" columns that are unsorted correctly. I may need to manipulate the data first to add some kind of sorting column, but haven't been successful yet. Need help as I am not a JMP scripting expert. 

Thank you.

[#2 · Accepted solution]

You can do this with two table operations:Stack all the columns (Tables > Stack), and check the box for "Multiple Series Stack".  Enter the value 2 for the number or series, and make sure the "contiguous" box is not checked.  Click OK.  This will create a table that looks like this:

Then, you want to split this table (Tables > Spit).  Split by Label 2, split the Data 2 column, and group by Data.

this results in this table:

 Note, you will have another problem to deal with, I think.  I don't believe JMP supports the datetime format  (hh:mm:ss.ddd AM/PM) you are using, if you want to treat those values like numbers.  If you treat them like character values you will be alright, though, and the steps above will still work.  

[#3]

This works well, thank you! Is there a way to script this solution so that all I have to do is point to the csv file? 

I understand how to create a JMP script which imports a csv file and goes through all of the appropriate opening options. But I have never used JMP script to use the join and split functions.