Forum Discussion
Anonymous
1 year agoNot applicable
Replace Values in Column dynamically
I have a column whose values are as below: Student Table Categories 1,2 2 3,4,5,6,7,8,9,10 1, .. 100 All of the categories id/name values are stored in another table: Cat Tab...
- 1 year ago
Anonymous , just for fun
let stu_format = (txt) => "#{" & Text.Replace(txt, ",", "},#{") & "}", cats = List.Buffer({""} & cat_table[Value]), format = Table.TransformColumns(student_table, {"Categories", (x) => Text.Format(stu_format(x), cats)}) in formatand the one with dictionary
let cat_dict = Record.FromList(cat_table[Value], List.Transform(cat_table[ID], Text.From)), result = Table.TransformColumns( student_table, { "Categories", (x) => ((cats_list) => Text.Combine( List.Transform( cats_list, (w) => Record.FieldOrDefault(cat_dict, w) ), ", ") )(Text.Split(x, ",")) } ) in result - 1 year ago
the long way round:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("JYq5DQAgDMR2Se2CI7yzRNl/DRA0lmU5wkS1JOzTaXQGk8VGBel1VdS+IUf3zgM=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Categories = _t]), CatTable2 = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("VY89D8IgEIb/C3MH8dtVY3Vp0sRN0gFPIiSUS4Cl/76HZ0Mcn4e7916UElI0otPZJjE0SqyJLtaMLuU4fc2GTG+n5IAntsRnhx4//L4jvkLlPfGd1qs5lAS6UM2RM+Dv0InkE+uQXJFoowlgmeWS/FuQpWyLmF/aezal7M3EUQfmUrYzbwcuGDal7gNh+cAwAw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, Value = _t]), ChangedType1 = Table.TransformColumnTypes(CatTable2,{{"ID", Int64.Type}}), #"Added Index" = Table.AddIndexColumn(Source, "Index", 0, 1, Int64.Type), #"Split Column by Delimiter" = Table.ExpandListColumn(Table.TransformColumns(Table.TransformColumnTypes(#"Added Index", {{"Categories", type text}}, "en-GB"), {{"Categories", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), let itemType = (type nullable text) meta [Serialized.Text = true] in type {itemType}}}), "Categories"), #"Trimmed Text" = Table.TransformColumns(#"Split Column by Delimiter",{{"Categories", Text.Trim, type text}}), #"Changed Type" = Table.TransformColumnTypes(#"Trimmed Text",{{"Categories", Int64.Type}}), #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Categories"}, ChangedType1, {"ID"}, "CatTable", JoinKind.LeftOuter), #"Expanded CatTable" = Table.ExpandTableColumn(#"Merged Queries", "CatTable", {"Value"}, {"Value"}), #"Removed Columns" = Table.RemoveColumns(#"Expanded CatTable",{"Categories"}), #"Grouped Rows" = Table.Group(#"Removed Columns", {"Index"}, {{"Categories", each Text.Combine(_[Value],", ")}}), #"Sorted Rows" = Table.Sort(#"Grouped Rows",{{"Index", Order.Ascending}}), #"Removed Columns1" = Table.RemoveColumns(#"Sorted Rows",{"Index"}) in #"Removed Columns1"
v-hashadapu
1 year agoCommunity Support
Hi Anonymous , thank you for reaching out to the Microsoft Fabric Community Forum.
Just wanted to confirm if the issue’s been resolved. While the answer provided by p45cal is detailed and thorough, it involves multiple transformations, which might be less efficient for larger datasets. The answer posted by AlienSx is simple, direct and more efficient. Please consider trying it. If it didn’t work, please share the details.
If it does help, then please consider marking it 'Accept as Solution' so others with similar queries may find it more easily.
Thank you.