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Hi there,
I am writing in to seek guidance.
I would like to perform the following.
Before:
Result:
Thank you
Solved! Go to Solution.
Hi @howeixiong,
Give this a go:
let
Source = YourTable,
GroupedRows = Table.Group(Source, {"FieldDescription"}, {{"temp", each _[Value] }}),
NewTable = Table.FromColumns( GroupedRows[temp], GroupedRows[FieldDescription] )
in
NewTable
I hope this is helpful
Hi @howeixiong
Another solution
let
Source = Your_Source,
IntergerDivide = Table.TransformColumns(Source, {{"Index", each Number.IntegerDivide(_, 5), Int64.Type}}),
Pivot = Table.Pivot(IntergerDivide, List.Distinct(IntergerDivide[FieldDescription]), "FieldDescription", "Value"),
Remove_Index = Table.RemoveColumns(Pivot,{"Index"})
in
Remove_Index
Stéphane
You can solve this problem in different way one is splitting the table every 5 rows as the below code
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc+3DcAwDETRVQzWKpRDKYcN3BHafw3TZxCgCxX3ig+KmTw5mvLOec8t0HJMQeauFEFR5qGUQOmdShmUZV5KBVRsvoKqzTdQs/kO6jY/QMPmg/9u/d8vH1gP", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [index = _t, #"field description" = _t, value = _t]),
#"Removed Columns" = Table.Combine(List.Transform(Table.Split(Table.RemoveColumns(Source,{"index"}),5),each Table.PromoteHeaders(Table.Transpose(_))))
in
#"Removed Columns"
Hi @howeixiong, another solution:
similar to @AlienSx, but handles null values if needed
Output
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc+3DcAwDETRVQzWKpRDKYcN3BHafw3TZxCgCxX3ig+KmTw5mvLOec8t0HJMQeauFEFR5qGUQOmdShmUZV5KBVRsvoKqzTdQs/kO6jY/QMPmg/9u/d8vH1gP", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Index = _t, FieldDescription = _t, Value = _t]),
Transformed = [ a = List.Buffer(Source[Value]),
b = List.Split({0..Table.RowCount(Source)-1}, 5),
c = List.TransformMany(b, each {List.Transform(_, (x)=> a{x})}, (x,y)=> if List.Count(y) = 5 then y else y & List.Repeat({null}, 5 - List.Count(y)) ),
d = #table(List.FirstN(Source[FieldDescription], 5), c )
][d]
in
Transformed
Can't you just remove the index, then use the Pivot GUI, using FieldDescription as the pivot column and Values as the values, choosing "Do Not Aggregate"? Seems like the solutions above depend on there being exactly 5 unique values in FieldDescription.
--Nate
Hi @howeixiong, another solution:
similar to @AlienSx, but handles null values if needed
Output
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc+3DcAwDETRVQzWKpRDKYcN3BHafw3TZxCgCxX3ig+KmTw5mvLOec8t0HJMQeauFEFR5qGUQOmdShmUZV5KBVRsvoKqzTdQs/kO6jY/QMPmg/9u/d8vH1gP", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Index = _t, FieldDescription = _t, Value = _t]),
Transformed = [ a = List.Buffer(Source[Value]),
b = List.Split({0..Table.RowCount(Source)-1}, 5),
c = List.TransformMany(b, each {List.Transform(_, (x)=> a{x})}, (x,y)=> if List.Count(y) = 5 then y else y & List.Repeat({null}, 5 - List.Count(y)) ),
d = #table(List.FirstN(Source[FieldDescription], 5), c )
][d]
in
Transformed
#table(List.FirstN(Source[FieldDescription], 5), List.Split(Source[Value], 5))
You can solve this problem in different way one is splitting the table every 5 rows as the below code
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("Vc+3DcAwDETRVQzWKpRDKYcN3BHafw3TZxCgCxX3ig+KmTw5mvLOec8t0HJMQeauFEFR5qGUQOmdShmUZV5KBVRsvoKqzTdQs/kO6jY/QMPmg/9u/d8vH1gP", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [index = _t, #"field description" = _t, value = _t]),
#"Removed Columns" = Table.Combine(List.Transform(Table.Split(Table.RemoveColumns(Source,{"index"}),5),each Table.PromoteHeaders(Table.Transpose(_))))
in
#"Removed Columns"
Hi @howeixiong
Another solution
let
Source = Your_Source,
IntergerDivide = Table.TransformColumns(Source, {{"Index", each Number.IntegerDivide(_, 5), Int64.Type}}),
Pivot = Table.Pivot(IntergerDivide, List.Distinct(IntergerDivide[FieldDescription]), "FieldDescription", "Value"),
Remove_Index = Table.RemoveColumns(Pivot,{"Index"})
in
Remove_Index
Stéphane
Hi @howeixiong,
Give this a go:
let
Source = YourTable,
GroupedRows = Table.Group(Source, {"FieldDescription"}, {{"temp", each _[Value] }}),
NewTable = Table.FromColumns( GroupedRows[temp], GroupedRows[FieldDescription] )
in
NewTable
I hope this is helpful