excel - Power Query: transform a column by multiplying by another column -

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i want similar power query transform column based on column, i'm getting stuck on how modify syntax particular goal.

similar linked question, assume have following table:

table 1: column | column b | column c ------------------------------  1       | 4        | 7  2       | 5        | 8  3       | 6        | 9

instead of changing value of column conditional on column b, want multiply values in multiple columns (column b , column c) in column , replace values in initial columns can following:

table 1: column | column b | column c ------------------------------  1       | 4        | 7  2       | 10       | 16  3       | 18       | 27

is possible without using multiple sequences of table.addcolumn followed table.removecolumns?

i have tried table.transformcolumns based on this, not been able syntax right achieve this.

table.transformcolumns won't give column a unless can index table, possible if columns have unique data.

table.transformrows let build new rows whatever logic 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 = [column a],             column b = [column a] * [column b],             column c = [column a] * [column c]         ])) in     multipliedrows

this works columns b , c, if need b through z might want fancier logic avoid repeating yourself.

edit: more general solution many columns use record.transformfields on list of transforms 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

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