Forum Discussion
Rename all column headers removing part before to separator
- 7 years ago
Thanks for your help and time Maggi v-juanli-msft and mussaenda ,
I found the solution combining Text.AfterDelimiter() with List.Zip() and List.Transform in a single command like below, maybe could help someone in the future.
let Source = Excel.CurrentWorkbook(){[Name="Table1"]}[Content], RenameColumns = Table.RenameColumns( Source, List.Zip(
{
Table.ColumnNames( Source ),
List.Transform(Table.ColumnNames( Source ), each Text.AfterDelimiter( _, ":") )
} ) ) in RenameColumnsRegards
Are you looking for a generic code which will go through all the field names of any input table and correct the field names dynamically without you specifying the field names explicitly?
OR
The table and the field names are fixed and you want a code which works on the specific table only?
Hello. Yes I would like to rename all headers dynamically.
I saw this function text-afterdelimiter
Maybe a combination of
Table.TransformColumnNames() or Table.RenameColumns() with Text.AfterDelimiter()
so the idea would be to get only the text after the delimiter ":" but I don´t know how to do it.
Sample table would be like this:
+-------------------------------------+-------------------------------------------------+-------------------------------+ | Table.text1.text2.text3:HeaderName1 | Table.text1.text2.text3.text4.text5:HeaderName2 | Table.text1.text2:HeaderName3 | +-------------------------------------+-------------------------------------------------+-------------------------------+ | 1 | 2 | 4 | +-------------------------------------+-------------------------------------------------+-------------------------------+ | 7 | 3 | 4 | +-------------------------------------+-------------------------------------------------+-------------------------------+
- mussaenda7 years ago
Community Champion
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTICYhOlWJ1oJXMgyxjCiwUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#" Table.text1.text2.text3:HeaderName1" = _t, #"Table.text1.text2.text3.text4.text5:HeaderName2" = _t, #"Table.text1.text2:HeaderName3" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{" Table.text1.text2.text3:HeaderName1", Int64.Type}, {"Table.text1.text2.text3.text4.text5:HeaderName2", Int64.Type}, {"Table.text1.text2:HeaderName3", Int64.Type}}), #"Demoted Headers" = Table.DemoteHeaders(#"Changed Type"), #"Changed Type1" = Table.TransformColumnTypes(#"Demoted Headers",{{"Column1", type any}, {"Column2", type any}, {"Column3", type any}}), #"Transposed Table" = Table.Transpose(#"Changed Type1"), #"Split Column by Delimiter" = Table.SplitColumn(#"Transposed Table", "Column1", Splitter.SplitTextByDelimiter(":", QuoteStyle.Csv), {"Column1.1", "Column1.2"}), #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Column1.1", type text}, {"Column1.2", type text}}), #"Removed Columns" = Table.RemoveColumns(#"Changed Type2",{"Column1.1"}), #"Transposed Table1" = Table.Transpose(#"Removed Columns"), #"Promoted Headers" = Table.PromoteHeaders(#"Transposed Table1", [PromoteAllScalars=true]), #"Changed Type3" = Table.TransformColumnTypes(#"Promoted Headers",{{"HeaderName1", Int64.Type}, {"HeaderName2", Int64.Type}, {"HeaderName3", Int64.Type}}) in #"Changed Type3"Hi, please see the applied steps above.
Below is the screenshot after transformation using your provided sample data.
- cgkas7 years ago
Helper V
Thanks for your help mussaenda. But I'm still think this could be reached with a single command.- v-juanli-msft7 years ago
Community Support
Hi cgkas
We need more steps than a single command to solve this problem. (even using the suggestion Text.AfterDelimiter)
Steps are as below:
1. add an index column
2. click on index column, unpivot other columns
3. add a custom column
4. remove column "Attribute",
click on "Custom" column, select "pivot column"
Code in Advanced editor
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTIGYjOlWJ1oJSMgywSILZViYwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [#"Table.text1.text2.text3:HeaderName1" = _t, #"Table.text1.text2.text3.text4.text5:HeaderName2" = _t, #"Table.text1.text2:HeaderName3" = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Table.text1.text2.text3:HeaderName1", Int64.Type}, {"Table.text1.text2.text3.text4.text5:HeaderName2", Int64.Type}, {"Table.text1.text2:HeaderName3", Int64.Type}}), #"Added Index1" = Table.AddIndexColumn(#"Changed Type", "Index", 1, 1), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Index1", {"Index"}, "Attribute", "Value"), #"Added Custom" = Table.AddColumn(#"Unpivoted Other Columns", "Custom", each Text.AfterDelimiter([Attribute],":")), #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"Attribute"}), #"Pivoted Column" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[Custom]), "Custom", "Value", List.Sum) in #"Pivoted Column"Best Regards
MaggieCommunity Support Team _ Maggie Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.