Forum Discussion
Matrix table for min-max
- 1 year ago
Hi samahiji,
I'm not sure if I understood your requirements right but possibly this approach could be useful for you or you can adjust it to your needs. Please paste the code below into Advanced editor in Power Query:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8s3MU9JRMjQwMABSliAqVgcomlgB5JpCRM0MYMIumWlpQAETiLgpWFdsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#" " = _t, X = _t, Y = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"X", Int64.Type}, {"Y", Int64.Type}}), l1 = List.Generate(( ) => #"Changed Type"{0}[X], each _ <= #"Changed Type"{1}[X], each _ + 200 ), l2 = List.Generate(( ) => #"Changed Type"{0}[Y], each _ <= #"Changed Type"{1}[Y], each _ + 200 ), #"Converted to Table" = Table.FromList(l1, Splitter.SplitByNothing(), {"X"}, null, ExtraValues.Error), #"Added Y lists" = Table.AddColumn(#"Converted to Table", "Y", each l2), #"Expanded Y" = Table.ExpandListColumn(#"Added Y lists", "Y"), #"Added Values" = Table.AddColumn(#"Expanded Y", "Values", each [X]), #"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Added Values", {{"Y", type text}}, "en-GB"), List.Distinct(Table.TransformColumnTypes(#"Added Values", {{"Y", type text}}, "en-GB")[Y]), "Y", "Values") in #"Pivoted Column"Output table:
Under 'Expanded Y' step in the query you should get the second table you mentioned in your post:
Hope it helps!
- Anonymous1 year ago
Hi samahiji ,
Thanks for wini_R's reply!
And samahiji , you can also try this:
First table:let MinX = 1000, MaxX = 4000, StepX = 50, MinY = 9000, MaxY = 51000, StepY = 50, XList = List.Generate(() => MinX, each _ <= MaxX, each _ + StepX), YList = List.Generate(() => MinY, each _ <= MaxY, each _ + StepY), InitialTable = Table.FromList(YList, Splitter.SplitByNothing(), {"Y"}), AddColumns = List.Transform(XList, each Table.AddColumn(InitialTable, Text.From(_), each [Y])), MergedTable = List.Accumulate(AddColumns, Table.FromRecords({}), (state, current) => if Table.RowCount(state) = 0 then current else Table.Join(state, "Y", current, "Y")), FinalTable = Table.RemoveColumns(MergedTable, {"Y"}) in FinalTableOutput:
Second table:let MinX = 1000, MaxX = 5000, MinY = 9000, MaxY = 60000, XList = List.Generate(() => MinX, each _ <= MaxX, each _ + 50), YList = List.Generate(() => MinY, each _ <= MaxY, each _ + 50), CombinationList = List.Combine(List.Transform(YList, each List.Transform(XList, (X) => [X=X, Y=_]))), CombinationTable = Table.FromRecords(CombinationList) in CombinationTableOutput:
Best Regards,
Dino Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi samahiji,
I'm not sure if I understood your requirements right but possibly this approach could be useful for you or you can adjust it to your needs. Please paste the code below into Advanced editor in Power Query:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8s3MU9JRMjQwMABSliAqVgcomlgB5JpCRM0MYMIumWlpQAETiLgpWFdsLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#" " = _t, X = _t, Y = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"X", Int64.Type}, {"Y", Int64.Type}}),
l1 = List.Generate(( ) => #"Changed Type"{0}[X], each _ <= #"Changed Type"{1}[X], each _ + 200 ),
l2 = List.Generate(( ) => #"Changed Type"{0}[Y], each _ <= #"Changed Type"{1}[Y], each _ + 200 ),
#"Converted to Table" = Table.FromList(l1, Splitter.SplitByNothing(), {"X"}, null, ExtraValues.Error),
#"Added Y lists" = Table.AddColumn(#"Converted to Table", "Y", each l2),
#"Expanded Y" = Table.ExpandListColumn(#"Added Y lists", "Y"),
#"Added Values" = Table.AddColumn(#"Expanded Y", "Values", each [X]),
#"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Added Values", {{"Y", type text}}, "en-GB"), List.Distinct(Table.TransformColumnTypes(#"Added Values", {{"Y", type text}}, "en-GB")[Y]), "Y", "Values")
in
#"Pivoted Column"
Output table:
Under 'Expanded Y' step in the query you should get the second table you mentioned in your post:
Hope it helps!