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  • JMP Security Notice: CVE-2026-109618 and CVE-2026-109619

    JMP promptly initiated a review of its products, services, and relevant infrastructure for exposure to CVE-2026-109618 and CVE-2026-109619.

    Our assessment of JMP products has not identified exposure to these vulnerabilities. Where remediation was required within supporting environments, appropriate security updates and controls have been applied and validated.

    We have identified no evidence of successful exploitation or unauthorized access to JMP systems or customer information associated with these vulnerabilities.

    JMP continues to monitor the issue and relevant vendor guidance. No action is required by JMP customers at this time.

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Discussions

Solve problems, and share tips and tricks with other JMP users.
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hacketkm
Level III

Is there a JMP function that is equivalent to the Excel VLOOKUP function?

Is there a JMP function that is equivalent to the Excel VLOOKUP function?

I have a data table which includes a column of parts and a separate table with each part and it's corresponding price. In Excel I can easily use VLOOKUP to match the part with it's price.

Can I do this in JMP? Can I do it in a JMP script?

1 ACCEPTED SOLUTION

Accepted Solutions
hacketkm
Level III

Re: Is there a JMP function that is equivalent to the Excel VLOOKUP function?

I figured out a solution that works:

 

dt1 << Join( With( <dt2>), By Matching Columns(col1 == col2));

View solution in original post

3 REPLIES 3
hacketkm
Level III

Re: Is there a JMP function that is equivalent to the Excel VLOOKUP function?

I figured out a solution that works:

 

dt1 << Join( With( <dt2>), By Matching Columns(col1 == col2));
satish
Level III

Re: Is there a JMP function that is equivalent to the Excel VLOOKUP function?

Below is one other way:

selrowno = dtcclimits << get rows where( :ID == ID );
IUCL = Num( Column( dtcclimits, "_UCL" )[selrowno[1]] );
jorgeramosdealm
Level III

Re: Is there a JMP function that is equivalent to the Excel VLOOKUP function?

The closest that I have found is update. The difference between join and update is that join creates a new table whereas update adds the columns to the first table.

Col1 from table dt is the reference for col1 from table dt2.

Col2 is the columns with the values that we want to add to table 1.

dt << update (with (dt2), by matching columns (dt:col1==dt2:col1), add columns from update table(:col2));

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