Get certified for free when you join Fabric Data Days 2026 and dive into Fabric, Power BI, SQL, AI, and other essential data skills.
Join nowTry your skills in the Power BI Dataviz World Championship! Round one ends June 26. Join now
I have a 'data' table where I'd like to dynamically change the number of decimal places.
I use a 'dictionary' table that holds the names of the columns in 'data' along with the desired number of decimal places, e.g.
| ColumnName | Decimal |
| Input | 2 |
| Temperature | 1 |
| Pressure | 0 |
| Weight | 3 |
I would like to be able to perform a TransformColumns operation on 'data', such as
Table.TransformColumns(data, {{"Temperature", each Number.Round(_, 1), type number}})
MinDecimal = List.Min(dictionary[Decimal]),
MaxDecimal = List.Max(dictionary[Decimal]),
Range = List.Generate(() => MinDecimal, each _ <= MaxDecimal, each _ + 1)
It feels like I could then use a recursive function (with or without the Range list) to select one by one the columns that need each transform, something like the answer from @ImkeF in Table Transformations for Dynamic Columns :
fnTransform = (InputTable as table, ListOfColNames, TransformFunction as function) =>
let
TransformFunctionList = List.Transform(ListOfColNames, (x) => {x, TransformFunction}),
Transform = Table.TransformColumns(InputTable, TransformFunctionList)
in
Transform// Somehow loop n = from MinDecimal to MaxDecimal
ColumnsToTransform = Table.SelectRows(dictionary, each [Decimal] = n)[ColumnName],
Transform = fnTransform(data, ColumnsToTransform, each Number.Round(_, n), type number)
but I am stumped as to the way to use a loop to make this work...
Solved! Go to Solution.
Hi @ChemEnger ,
it could work like so:
(InputTable as table, dictionary as table) =>
let
TransformFunctionList = List.Transform(
Table.ToRecords(dictionary),
(record) => {record[ColumnName], each Number.Round(_, record[Decimal]), type number}
),
Transform = Table.TransformColumns(InputTable, TransformFunctionList)
in
Transform
No real recursion needed. Just transform your dictionary table into a list of records and create the transformation list elements out of it.
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Hi @ChemEnger ,
it could work like so:
(InputTable as table, dictionary as table) =>
let
TransformFunctionList = List.Transform(
Table.ToRecords(dictionary),
(record) => {record[ColumnName], each Number.Round(_, record[Decimal]), type number}
),
Transform = Table.TransformColumns(InputTable, TransformFunctionList)
in
Transform
No real recursion needed. Just transform your dictionary table into a list of records and create the transformation list elements out of it.
Imke Feldmann (The BIccountant)
If you liked my solution, please give it a thumbs up. And if I did answer your question, please mark this post as a solution. Thanks!
How to integrate M-code into your solution -- How to get your questions answered quickly -- How to provide sample data -- Check out more PBI- learning resources here -- Performance Tipps for M-queries
Spot on, thank you @ImkeF.
I was looking at something similar on Medium - Transform Multiple Columns Based On Other Columns In Power Query but your solution worked first time 🙂
Don't miss out on Data Days, June 15 through August 7. Learn Fabric, Power BI, SQL, AI and more.
Check out the May 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 16 | |
| 11 | |
| 11 | |
| 8 | |
| 7 |
| User | Count |
|---|---|
| 41 | |
| 36 | |
| 35 | |
| 35 | |
| 20 |