Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
Hello,
I have a table with about 200 columns, and I do not want to have to manually change all of my entries.
About 15 columns are individual, where the column name starts with a unique text string, however the other 185 columns begin with "field_" and then has the column name. For the sake of reporting, I would like some sort of M code that allows me to remove the first 6 characters when 'field_' is present or remove 'field_' or something along those lines. Thanks!
I have very little knowledge when it comes to Power Query... the most I have done is seperate row entries with delimiters, I feel like this is slightly similar but don't know how since it has to do with a column...thanks!!!!!
Solved! Go to Solution.
Here's an example that you can paste into the Advanced Editor:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlTSUaoAYkMQNgASRnqGJkqxOtFKSUBOJUgAiE1BsnqWFkqxsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, field_Col3 = _t, field_Col4 = _t, field_Col5 = _t]),
NewColNames = List.Transform(Table.ColumnNames(Source), each if Text.Start(_, 6) = "field_" then Text.AfterDelimiter(_, "_") else _),
ChangeColNames = Table.FromColumns(Table.ToColumns(Source), NewColNames)
in
ChangeColNames
This takes the Table.ColumnNames as a list and transforms is according to the rule you specified. It then splits the table into columns and recombines them back into a table using the new column names.
The key bits of code are the list transformation rule (the underscore represents each column name):
each if Text.Start(_, 6) = "field_" then Text.AfterDelimiter(_, "_") else _and the recombination
Table.FromColumns(Table.ToColumns(Source), NewColNames)
Here is another approach.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Jc+xFcMwDEPBXVS7MAnASWbx8/5rhF8uoApHUve9ah2rJ5p4ksk1+Uy+k9+kTh6aRbXoFuXKeo6ZAShEQQrTmN7TMY1pTLOhEY1oRCN07mHCaJ+EEUYYYYQRRhizxQgjvH+B8HuZMcYYY0wwwQQTTPbX2RJEEEEEcc1lzx8=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Field_10 = _t, Column2 = _t, Field_11 = _t, Field_12 = _t, Field_13 = _t, Field_14 = _t, Field_15 = _t, Column3 = _t, Field_16 = _t, Field_17 = _t, Field_18 = _t, Field_19 = _t, Field_20 = _t, Field_21 = _t]),
Cols = Table.ColumnNames(Source),
New = List.Transform(Cols, each Replacer.ReplaceText(_,"Field_","")),
Custom1 = Table.RenameColumns(Source,List.Zip({Cols,New}))
in
Custom1
Ooh, nice use of List.Zip. I often overlook that function since I forget exactly what it does and the MS documentation examples for that function aren't very helpful.
Better documentation:
https://excel.city/2017/11/how-to-use-list-zip-in-power-query/
A similar renaming solution using List.Zip:
https://datachant.com/2017/01/26/power-bi-pitfall-6/
Here's an example that you can paste into the Advanced Editor:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSlTSUaoAYkMQNgASRnqGJkqxOtFKSUBOJUgAiE1BsnqWFkqxsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, field_Col3 = _t, field_Col4 = _t, field_Col5 = _t]),
NewColNames = List.Transform(Table.ColumnNames(Source), each if Text.Start(_, 6) = "field_" then Text.AfterDelimiter(_, "_") else _),
ChangeColNames = Table.FromColumns(Table.ToColumns(Source), NewColNames)
in
ChangeColNames
This takes the Table.ColumnNames as a list and transforms is according to the rule you specified. It then splits the table into columns and recombines them back into a table using the new column names.
The key bits of code are the list transformation rule (the underscore represents each column name):
each if Text.Start(_, 6) = "field_" then Text.AfterDelimiter(_, "_") else _and the recombination
Table.FromColumns(Table.ToColumns(Source), NewColNames)
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
Check out the November 2025 Power BI update to learn about new features.
| User | Count |
|---|---|
| 10 | |
| 6 | |
| 5 | |
| 4 | |
| 2 |