I want to do something similar to Power Query Transform a Column based on Another Column, but I\'m getting stuck on how to modify the syntax for my particular goal.
Table.TransformColumns
won't give you Column A
unless you can index back into the table, which will only be possible if your columns only have unique data.
Table.TransformRows
will let you build new rows with whatever logic you want:
let
Source = Csv.Document("Column A,Column B,Column C
1,4,7
2,5,8
3,6,9"),
PromotedHeaders = Table.PromoteHeaders(Source),
ChangedType = Table.TransformColumnTypes(PromotedHeaders,{{"Column A", type number}, {"Column B", type number}, {"Column C", type number}}),
MultipliedRows = Table.FromRecords(Table.TransformRows(ChangedType,
each [
Column A = [Column A],
Column B = [Column A] * [Column B],
Column C = [Column A] * [Column C]
]))
in
MultipliedRows
This works well for columns B and C, but if you need B through Z you might want fancier logic to avoid repeating yourself.
EDIT: A more general solution for many columns is to use Record.TransformFields
on a list of transforms for all column names except "Column A"
.
let
Source = Csv.Document("Column A,Column B,Column C,D,E,F
1,4,7,1,2,3
2,5,8,4,5,6
3,6,9,7,8,9"),
PromotedHeaders = Table.PromoteHeaders(Source),
ChangedType = Table.TransformColumnTypes(PromotedHeaders,{{"Column A", type number}, {"Column B", type number}, {"Column C", type number}, {"D", type number}, {"E", type number}, {"F", type number}}),
MultipliedRows = Table.FromRecords(Table.TransformRows(ChangedType, (row) =>
let
ColumnA = row[Column A],
OtherColumns = List.RemoveItems(Record.FieldNames(row), {"Column A"}),
Transforms = List.Transform(OtherColumns, (name) => { name, (cell) => cell * ColumnA })
in
Record.TransformFields(row, Transforms)))
in
MultipliedRows