Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Join us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.

Reply
ooptennoort
Advocate I
Advocate I

Table.TransformColumnNames in nested table

I need to replace ":" with "" in column names but in a nested table (that I cannot expand yet)... 2 problems:

1) How do I get a nested table as table (1st argument of Table.TransformColumnNames)
2) Then how do i actually get the column names' text replaced

I tried along these lines:

 

= Table.TransformColumnNames( Table.Column(AddRemovedTopRowHeaderPromoted,"Ranges"), Text.Replace(_,":",""))

 

and

 

= Table.TransformColumnNames( Table.FromList(RemovedTopRowPromotedHeaders[Data], Splitter.SplitByNothing(), null, null, ExtraValues.Error), (_) as text => Text.Clean(Text.Replace(_,":","")))

 

and


RecordsToList = Table.AddColumn(#"Removed Other Columns1", "RecordsToList", each Record.ToList([Data]{1})),
RenRecordsToList = Table.AddColumn(RecordsToList, "RenRecordsToList", each List.ReplaceValue([RecordsToList],":","", Replacer.ReplaceText)),
Custom2 = Table.RenameColumns([Data], [RecordsToList],[RenRecordsToList] ),
AddRemTopRowHeaderPromoted = Table.AddColumn(Custom2, "Ranges", each Table.PromoteHeaders( Table.Skip([Data],1))),

1 ACCEPTED SOLUTION
BA_Pete
Super User
Super User

Hi @ooptennoort ,

 

Ok, so there's two stages to this. The first is to perform the dynamic column name changes, the second is to then apply that to a nested table.

 

So, to do the dynamic change, you would use something like this:

 

= Table.RenameColumns(
    prevStep,
        List.Zip(
            {
                Table.ColumnNames(prevStep),
                List.Transform(Table.ColumnNames(prevStep), each Text.Replace(_, ":", ""))
            }
        )
    )

 

 

Now, to apply that to the nested tables, we need to wrap the whole lot in a Table.TransformColumns and change relevant references to the previous step ('prevStep') to the access operator ('_'):

 

Table.TransformColumns(
    prevStep,
    {
        "nestedTableColumnName",
        each Table.RenameColumns(
            _,
            List.Zip(
                {
                    Table.ColumnNames(_),
                    List.Transform(Table.ColumnNames(_), each Text.Replace(_, ":", ""))
                }
            )
        )
    }
)

 

 

Full example query to turn this:

BA_Pete_0-1684928268179.png

 

...into this:

BA_Pete_1-1684928291909.png

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUSouKU1LU4rVgfBKMjLz0ovh3MyS1FwIzwjIy80vSlVAqIcLIWmCi0F1xgIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, Column_Name = _t]),
    groupRows = Table.Group(Source, {"ID"}, {{"data", each _, type table [ID=nullable text, Column_Name=nullable text]}}),
    renameNestedColumns = Table.TransformColumns(
    groupRows,
    {
        "data",
        each Table.RenameColumns(
            _,
            List.Zip(
                {
                    Table.ColumnNames(_),
                    List.Transform(Table.ColumnNames(_), each Text.Replace(_, "_", "____"))
                }
            )
        )
    }
),
    expandNestedData = Table.ExpandTableColumn(renameNestedColumns, "data", {"Column____Name"}, {"Column____Name"})
in
    expandNestedData

 

 

Pete



Now accepting Kudos! If my post helped you, why not give it a thumbs-up?

Proud to be a Datanaut!




View solution in original post

2 REPLIES 2
ooptennoort
Advocate I
Advocate I

Wow, thank you!!! List.Zip! Will need to study closer how you did it! Thx

BA_Pete
Super User
Super User

Hi @ooptennoort ,

 

Ok, so there's two stages to this. The first is to perform the dynamic column name changes, the second is to then apply that to a nested table.

 

So, to do the dynamic change, you would use something like this:

 

= Table.RenameColumns(
    prevStep,
        List.Zip(
            {
                Table.ColumnNames(prevStep),
                List.Transform(Table.ColumnNames(prevStep), each Text.Replace(_, ":", ""))
            }
        )
    )

 

 

Now, to apply that to the nested tables, we need to wrap the whole lot in a Table.TransformColumns and change relevant references to the previous step ('prevStep') to the access operator ('_'):

 

Table.TransformColumns(
    prevStep,
    {
        "nestedTableColumnName",
        each Table.RenameColumns(
            _,
            List.Zip(
                {
                    Table.ColumnNames(_),
                    List.Transform(Table.ColumnNames(_), each Text.Replace(_, ":", ""))
                }
            )
        )
    }
)

 

 

Full example query to turn this:

BA_Pete_0-1684928268179.png

 

...into this:

BA_Pete_1-1684928291909.png

 

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUSouKU1LU4rVgfBKMjLz0ovh3MyS1FwIzwjIy80vSlVAqIcLIWmCi0F1xgIA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, Column_Name = _t]),
    groupRows = Table.Group(Source, {"ID"}, {{"data", each _, type table [ID=nullable text, Column_Name=nullable text]}}),
    renameNestedColumns = Table.TransformColumns(
    groupRows,
    {
        "data",
        each Table.RenameColumns(
            _,
            List.Zip(
                {
                    Table.ColumnNames(_),
                    List.Transform(Table.ColumnNames(_), each Text.Replace(_, "_", "____"))
                }
            )
        )
    }
),
    expandNestedData = Table.ExpandTableColumn(renameNestedColumns, "data", {"Column____Name"}, {"Column____Name"})
in
    expandNestedData

 

 

Pete



Now accepting Kudos! If my post helped you, why not give it a thumbs-up?

Proud to be a Datanaut!




Helpful resources

Announcements
Join our Fabric User Panel

Join our Fabric User Panel

This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.

June 2025 Power BI Update Carousel

Power BI Monthly Update - June 2025

Check out the June 2025 Power BI update to learn about new features.

June 2025 community update carousel

Fabric Community Update - June 2025

Find out what's new and trending in the Fabric community.