Forum Discussion
Helper VHow to split a column in two tables based on row content?
Hi, I have a table like this below
For which I want to split it in two different tables, the first from row 1 until row before first occurence of "production_options". And next table from first occurence of "production_options" until the end, getting two tables like these ones:
The is the binary input. Thanks in advance.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fY7BCsIwEET/pedQWi149epJ76WENdnSQJINm01Bv96aCnrytLAzvDfj2JiShQKyxgDOq+f53hoKLZRmUltKcXYcQBzFT0O4YM0sJmAJGEVd4krOYK7/VNgskFETW2R1u+r+cBxqJMjBRfBqoSy66067ZJugF/L2yyZ2G7dqVb9TmWwxdQel99llZtBZIHlUM/iM/6ozsUFthp8mlKStX+WRVNdM0ws=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DATA = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"DATA", type text}})
in
#"Changed Type"
cgkas , check out steps in this power query code
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlSK1YlWMgKTxmDSBEyagkkzMzAVUJSfUppcEu9fUJKZn1cMFrMAk5Zg0tAAu7JYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}}),
_pos = List.PositionOf(#"Changed Type"[Column1],"Product_Options"),
_firstList = List.FirstN(#"Changed Type"[Column1],_pos+1),
_LastList = List.LastN(#"Changed Type"[Column1],List.Count(#"Changed Type"[Column1])- (_pos+1)),
_final = List.Zip({_firstList,_LastList}),
#"Converted to Table" = Table.FromList(_final, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), ";"), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column1", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Column1.1", "Column1.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Column1.1", type text}, {"Column1.2", type text}})
in
#"Changed Type1"cgkas , Try this one with your data
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fY7BCsIwEET/pedQWi149epJ76WENdnSQJINm01Bv96aCnrytLAzvDfj2JiShQKyxgDOq+f53hoKLZRmUltKcXYcQBzFT0O4YM0sJmAJGEVd4krOYK7/VNgskFETW2R1u+r+cBxqJMjBRfBqoSy66067ZJugF/L2yyZ2G7dqVb9TmWwxdQel99llZtBZIHlUM/iM/6ozsUFthp8mlKStX+WRVNdM0ws=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DATA = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"DATA", type text}}),
_pos = List.PositionOf(#"Changed Type"[DATA],"production_options"),
_firstList = List.FirstN(#"Changed Type"[DATA],_pos+1),
_LastList = List.LastN(#"Changed Type"[DATA],List.Count(#"Changed Type"[DATA])- (_pos+1)),
_final = List.Zip({_firstList,_LastList}),
#"Converted to Table" = Table.FromList(_final, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), ";"), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column1", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Column1.1", "Column1.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Column1.1", type text}, {"Column1.2", type text}})
in
#"Changed Type1"
5 Replies
- amitchandak
Super User
cgkas , check out steps in this power query code
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlSK1YlWMgKTxmDSBEyagkkzMzAVUJSfUppcEu9fUJKZn1cMFrMAk5Zg0tAAu7JYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}}),
_pos = List.PositionOf(#"Changed Type"[Column1],"Product_Options"),
_firstList = List.FirstN(#"Changed Type"[Column1],_pos+1),
_LastList = List.LastN(#"Changed Type"[Column1],List.Count(#"Changed Type"[Column1])- (_pos+1)),
_final = List.Zip({_firstList,_LastList}),
#"Converted to Table" = Table.FromList(_final, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), ";"), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column1", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Column1.1", "Column1.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Column1.1", type text}, {"Column1.2", type text}})
in
#"Changed Type1" - amitchandak
cgkas , Try this one with your data
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("fY7BCsIwEET/pedQWi149epJ76WENdnSQJINm01Bv96aCnrytLAzvDfj2JiShQKyxgDOq+f53hoKLZRmUltKcXYcQBzFT0O4YM0sJmAJGEVd4krOYK7/VNgskFETW2R1u+r+cBxqJMjBRfBqoSy66067ZJugF/L2yyZ2G7dqVb9TmWwxdQel99llZtBZIHlUM/iM/6ozsUFthp8mlKStX+WRVNdM0ws=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [DATA = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"DATA", type text}}),
_pos = List.PositionOf(#"Changed Type"[DATA],"production_options"),
_firstList = List.FirstN(#"Changed Type"[DATA],_pos+1),
_LastList = List.LastN(#"Changed Type"[DATA],List.Count(#"Changed Type"[DATA])- (_pos+1)),
_final = List.Zip({_firstList,_LastList}),
#"Converted to Table" = Table.FromList(_final, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
#"Extracted Values" = Table.TransformColumns(#"Converted to Table", {"Column1", each Text.Combine(List.Transform(_, Text.From), ";"), type text}),
#"Split Column by Delimiter" = Table.SplitColumn(#"Extracted Values", "Column1", Splitter.SplitTextByDelimiter(";", QuoteStyle.Csv), {"Column1.1", "Column1.2"}),
#"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Column1.1", type text}, {"Column1.2", type text}})
in
#"Changed Type1"
cgkasHi amitchandak
Thanks for your help. It seems to work fine. One question, how would be if the string searched begins with "production" or contains "production" instead of look for exactly "production_options" in this command? Something like:
= List.PositionOf(#"Changed Type"[DATA], CONTAINS<"production">)- amitchandak
cgkas , That add column first that will give 1 and 0 of some flag, and then get the position of in that new column, and the rest of the code will be in the same column
if Text.Contains([Column1], "production") then "1" else "0"