Forum Discussion
dhendus
2 years agoFrequent Visitor
Condionally fill down multiple columns
I want to condionally fill down multiple columns (approximatively 200 columns) as below :
When the value's column is "E" => begin to fill down, and stop when the value "H" is reached.
Example of 2 columns input data :
| Column1 | Column2 |
| A | W |
| B | X |
| C | Y |
| D | Z |
| null | null |
| null | E |
| null | null |
| E | F |
| null | null |
| null | null |
| null | null |
| F | G |
| G | H |
| null | null |
| null | null |
| H | null |
| null | null |
Desired output :
| Column1 | Column2 |
| A | W |
| B | X |
| C | Y |
| D | Z |
| null | null |
| null | E |
| null | E |
| E | F |
| E | F |
| E | F |
| E | F |
| F | G |
| G | H |
| G | null |
| G | null |
| H | null |
| null | null |
Thanks
let Source = your_table, to_cols = Table.ToColumns(Source), g = (lst) => [st = [E = true, H = false], gen = List.Generate( () => [i = 0, c = lst{0}, fd = c = "E"], (x) => x[i] < List.Count(lst), (x) => [ i = x[i] + 1, c = if x[fd] then lst{i} ?? x[c] else lst{i}, fd = Record.FieldOrDefault(st, c ?? "", x[fd]) ], (x) => x[c] )][gen], tra = List.Transform(to_cols, g), to_tbl = Table.FromColumns(tra) in to_tbl
5 Replies
- AlienSxSuper User
let Source = your_table, to_cols = Table.ToColumns(Source), g = (lst) => [st = [E = true, H = false], gen = List.Generate( () => [i = 0, c = lst{0}, fd = c = "E"], (x) => x[i] < List.Count(lst), (x) => [ i = x[i] + 1, c = if x[fd] then lst{i} ?? x[c] else lst{i}, fd = Record.FieldOrDefault(st, c ?? "", x[fd]) ], (x) => x[c] )][gen], tra = List.Transform(to_cols, g), to_tbl = Table.FromColumns(tra) in to_tbl- dhendusFrequent Visitor
That's what I'm talking about, thank you.
Unfortunately, I have memory issues when loading data, in step "Table.FromColumns(tra)" (can not load my data, I've been waiting for an hour and yet not finishing)
can you suggest something else for this step ?- AlienSxSuper User
try to buffer to_cols step:
to_cols = List.Buffer(Table.ToColumns(Source))
- dufoq3Community Champion
Hi dhendus, different approach here. Test speed and let me know:
Result:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUQpXitWJVnICsiLALGcgKxLMcgGyosAsIANGu6IIuAIZbuhKUGg3IMMdzHIHsjywqvFAF/DEYponioAXkoyXUmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t]), // You can probably delete this step. ReplaceBlankToNull = Table.TransformColumns(Source, {}, each if _ = "" then null else _), Transform = List.Accumulate( List.Buffer(Table.ColumnNames(ReplaceBlankToNull)), #table({"_Temp_"}, {{null}}), (state, current)=> Table.AddColumn(state, current, each [ a = Table.SelectColumns(ReplaceBlankToNull, current), b = Table.Group(a, {current}, {{"All", each _, type table}}, GroupKind.Local, (w,u)=> Byte.From( (Record.Field(w, current) <> "E" and Record.Field(u, current) = "E") or (Record.Field(w, current) = "E" and Record.Field(u, current) = "H") ) ), c = Table.AddColumn(b, "Filled", (x)=> if Record.Field(x, current) = "E" then Table.FillDown(x[All], {current}) else x[All], type table), d = Table.Combine(c[Filled]), e = Table.Column(d, current) ][e], type list) ), RemovedColumns = Table.RemoveColumns(Transform,{"_Temp_"}), ToTable = Table.FromColumns(Table.ToRows(RemovedColumns){0}) in ToTable