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Hi,
I have looked a few posts abour merging 2 rows but every posts had its subtility that I could not apply.
Basically, I have a table of a list of items, every row corresponds to 1 item. However, some products are spread over 2 rows.
I have found a pattern to isolate these products: if Text.Length([Column3]) = 24 then 1 else 0
if Text.Length([Column3]) = 24 then 1 else 0
Then, I grouped by my table by 1 and 0.
I have now a table with 2 nested tables.
I am interested in merging the rows of the Table 0, every two rows should be merged with a space delimiter
row 1 and row 2 should become row 1
row 3 and row 4 should become row 2
row 5 and row 6 should become row 3
etc..
I will appreciate any help, I'd like a solution leveraging Table.TransformColumn so that I can perform all steps into the nested table
Thanks for your time and help
@dufoq3 @Omid_Motamedise @lbendlin @AlienSx @ronrsnfld
Solved! Go to Solution.
@AlienSx much better than my approach. Just a small addition
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]),
#"Replaced Value" = Table.ReplaceValue(Source,"null",null,Replacer.ReplaceValue,{"Column1", "Column2", "Column3", "Column4", "Column5", "Column6"}),
lst = List.Split(Table.ToRows(#"Replaced Value"), 2),
trn = List.Transform(lst, (x) => ((w) => List.Transform(w, (z) => Text.Combine(z, " ")))(List.Zip(x))),
tbl = Table.FromRows(trn, Value.Type(#"Replaced Value"))
in
tbl
Hi @Einomi All the solution provided by others are simply great.
I’d like to share a straightforward solution using a graphical interface. You can address this problem by employing two index columns, a modulo column, self-merging queries, and column merging. Since every two rows need to be merged, follow these steps:
Give this approach a try, and it should help you achieve your desired outcome!
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]),
#"Replaced Value" = Table.ReplaceValue(Source,"null",null,Replacer.ReplaceValue,{"Column1", "Column2", "Column3", "Column4", "Column5", "Column6"}),
#"Added Index" = Table.AddIndexColumn(#"Replaced Value", "Index", 0, 1, Int64.Type),
#"Added Index1" = Table.AddIndexColumn(#"Added Index", "Index.1", 1, 1, Int64.Type),
#"Inserted Modulo" = Table.AddColumn(#"Added Index1", "Modulo", each Number.Mod([Index], 2), type number),
#"Merged Queries" = Table.NestedJoin(#"Inserted Modulo", {"Index.1"}, #"Inserted Modulo", {"Index"}, "Merged", JoinKind.LeftOuter),
#"Expanded Query1 (2)" = Table.ExpandTableColumn(#"Merged Queries", "Merged", {"Column1", "Column2", "Column3", "Column4", "Column5", "Column6"}, {"Column1.1", "Column2.1", "Column3.1", "Column4.1", "Column5.1", "Column6.1"}),
#"Filtered Rows" = Table.SelectRows(#"Expanded Query1 (2)", each ([Modulo] = 0)),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Index", "Index.1", "Modulo"}),
#"Merged Columns" = Table.CombineColumns(#"Removed Columns",{"Column1", "Column1.1"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Column1.2"),
#"Merged Columns1" = Table.CombineColumns(#"Merged Columns",{"Column3", "Column3.1"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Column3.2"),
#"Merged Columns2" = Table.CombineColumns(#"Merged Columns1",{"Column4", "Column4.1"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Column4.2"),
#"Merged Columns3" = Table.CombineColumns(#"Merged Columns2",{"Column5", "Column5.1"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Column5.2"),
#"Merged Columns4" = Table.CombineColumns(#"Merged Columns3",{"Column6", "Column6.1"},Combiner.CombineTextByDelimiter(" ", QuoteStyle.None),"Column6.2"),
#"Reordered Columns" = Table.ReorderColumns(#"Merged Columns4",{"Column1.2", "Column2", "Column3.2", "Column4.2", "Column5.2", "Column6.2"}),
#"Removed Columns1" = Table.RemoveColumns(#"Reordered Columns",{"Column2.1"})
in
#"Removed Columns1"
Best Regards,
Shahariar Hafiz
Hi @Einomi, another solution:
Output
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]),
ChangedTypeToTextDynamic = Table.TransformColumns(Source, {}, Text.From),
Transformed = List.TransformMany(Table.Split(ChangedTypeToTextDynamic, 2),
each {List.Transform(Table.ColumnNames(ChangedTypeToTextDynamic), (x)=> Text.Combine(Table.Column(_, x), " "))},
(x,y)=> y ),
ToTable = Table.FromRows(Transformed, Value.Type(ChangedTypeToTextDynamic))
in
ToTable
Me: Oh, I could do it this way or that way or maybe this other way?
Power Query, with a sigh: Sure, you could sow a button to your cheek, but why not try the obvious way?
Thank you!
This is not hard but I do not access to computer and I just say you the logic by my phone.
Add an index column starting from 0.
Then use number.integerdevide and devide each index by 2 so it result in 0 for the first two row, 1 for the next two rows, and so on. Use this column for grouping.
For more tips see this videom
Thanks @Omid_Motamedise I have done some grouping to get 1 for the 2 first rows then 2 for the next 2 but after this I am blocked, I am sure it is not hard but I miss a samll part 🙂
In the next step, from home tab pick table.group and choose column 1 in the top section and pick sum as operation in the bottom section over a column like column 4. Press ok will lead to error, but go to the formula bar, find List.sum and replace it by the below formula
each Text.Combine(_," ")
Please provide sample data that fully covers your issue in a usable format (NOT a screenshot).
Please show the expected outcome based on the sample data you provided.
The challenge table
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]),
#"Type modifié" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}, {"Column5", type text}, {"Column6", type text}})
in
#"Type modifié"
The expected outcome
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lY/NasMwEIRfZfA5IZLitvbRcSCHpCCao+ODbC+2iJGJft4/m9IeQgule1n4mJ2daZrsYzEhop5sfyWHE42QmxzZKnNpnnlVuxprsGrAOXqi+MX2NFvUS3KRPN7JzAGXJIR6xdkOhL0NEwXWSsEjt0WRIxflJf6G2lXz6VmljvxoHUHbWzIu4njSfKCEOPwVRXtaa8MlBmgKpp+YLEPq41MIhZfy7Sf4DrDzxgZ2qE3XmZFYmP/v9XN3JWRRPEykkmXWtnc=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]),
#"Type modifié" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}, {"Column5", type text}, {"Column6", type text}})
in
#"Type modifié"
Thanks
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]),
#"Replaced Value" = Table.ReplaceValue(Source,"null",null,Replacer.ReplaceValue,{"Column1", "Column2", "Column3", "Column4", "Column5", "Column6"}),
#"Added Index" = Table.AddIndexColumn(#"Replaced Value", "Index", 0, 1, Int64.Type),
#"Added Custom" = Table.AddColumn(#"Added Index", "Custom", each Number.RoundDown([Index]/2),Int64.Type),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Custom", {"Custom", "Index"}, "Attribute", "Value"),
#"Replaced Value1" = Table.ReplaceValue(#"Unpivoted Other Columns",each [Value],(k)=> k[Value] & " " & Table.SelectRows(#"Unpivoted Other Columns", each [Custom]=k[Custom] and [Attribute]=k[Attribute] and[Index]=k[Index]+1 )[Value]{0},Replacer.ReplaceValue,{"Value"}),
#"Filtered Rows" = Table.SelectRows(#"Replaced Value1", each Number.IsEven([Index])),
#"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Index"}),
#"Pivoted Column" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[Attribute]), "Attribute", "Value"),
#"Reordered Columns" = Table.ReorderColumns(#"Pivoted Column",{"Column1", "Column2", "Column3", "Column4", "Column5", "Column6"}),
#"Removed Columns1" = Table.RemoveColumns(#"Reordered Columns",{"Custom"})
in
#"Removed Columns1"
let
lst = List.Split(Table.ToRows(challenge_table), 2),
trn = List.Transform(lst, (x) => ((w) => List.Transform(w, (z) => Text.Combine(z, " ")))(List.Zip(x))),
tbl = Table.FromRows(trn, Value.Type(challenge_table))
in
tbl
@AlienSx much better than my approach. Just a small addition
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t, Column5 = _t, Column6 = _t]),
#"Replaced Value" = Table.ReplaceValue(Source,"null",null,Replacer.ReplaceValue,{"Column1", "Column2", "Column3", "Column4", "Column5", "Column6"}),
lst = List.Split(Table.ToRows(#"Replaced Value"), 2),
trn = List.Transform(lst, (x) => ((w) => List.Transform(w, (z) => Text.Combine(z, " ")))(List.Zip(x))),
tbl = Table.FromRows(trn, Value.Type(#"Replaced Value"))
in
tbl
@AlienSx Thanks so much, so powerful. However, in the Column5 and Column6 for some rows I get an error because PQ cannot convert the value to text
@lbendlin I did not check you first suggestion, rather the addition on @AlienSx and with your addition I do not get any error on any rows, so it is good 🙂
Thanks both of you for the prompt help
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