Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi everyone,
Any chance you could help with another indexing question? Basically I need to create an index which changes when the row value changes from TRUE to False and then to TRUE ect...
Here is an example:
Index | Value | Expected outcome |
1 | TRUE | 1 |
2 | TRUE | 1 |
3 | TRUE | 1 |
4 | TRUE | 1 |
5 | TRUE | 1 |
6 | FALSE | 2 |
7 | FALSE | 2 |
8 | FALSE | 2 |
9 | TRUE | 3 |
10 | TRUE | 3 |
11 | TRUE | 3 |
12 | FALSE | 4 |
13 | FALSE | 4 |
14 | FALSE | 4 |
15 | FALSE | 4 |
16 | FALSE | 4 |
17 | TRUE | 5 |
Thanks in advance!
Proud to be a Super User!
Paul on Linkedin.
Solved! Go to Solution.
See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test
1. If performance is not a consideration, then Group by approach
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUQoJCnVVitWJVjJC5hgjc0yQOabIHDMgx83RJxjCM0fhWaDwLJG1GRqg8FCcYWiEos/QGJVrgso1ReWiusfQHG5wLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Index = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Index", Int64.Type}, {"Value", type logical}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Value"}, {{"Temp", each _, type table [Index=nullable number, Value=nullable logical]}}, GroupKind.Local),
#"Removed Columns" = Table.RemoveColumns(#"Grouped Rows",{"Value"}),
#"Added Index" = Table.AddIndexColumn(#"Removed Columns", "New Index", 1, 1, Int64.Type),
#"Expanded Temp" = Table.ExpandTableColumn(#"Added Index", "Temp", {"Index", "Value"}, {"Index", "Value"})
in
#"Expanded Temp"
2. If performance is a consideration, then List.Generate approach
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUQoJCnVVitWJVjJC5hgjc0yQOabIHDMgx83RJxjCM0fhWaDwLJG1GRqg8FCcYWiEos/QGJVrgso1ReWiusfQHG5wLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Index = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Index", Int64.Type}, {"Value", type logical}}),
ListOfValue = List.Buffer(#"Changed Type"[Value]),
RowCount = List.Count(ListOfValue),
GenerateIndex = List.Generate(()=>[x=1,i=0], each [i]<RowCount, each [i=[i]+1, x=if ListOfValue{i}<>ListOfValue{[i]} then [x]+1 else [x]], each [x]),
Result = Table.FromColumns(Table.ToColumns(#"Changed Type") & {GenerateIndex},Table.ColumnNames(#"Changed Type")&{"New Index"})
in
Result
See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test
1. If performance is not a consideration, then Group by approach
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUQoJCnVVitWJVjJC5hgjc0yQOabIHDMgx83RJxjCM0fhWaDwLJG1GRqg8FCcYWiEos/QGJVrgso1ReWiusfQHG5wLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Index = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Index", Int64.Type}, {"Value", type logical}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Value"}, {{"Temp", each _, type table [Index=nullable number, Value=nullable logical]}}, GroupKind.Local),
#"Removed Columns" = Table.RemoveColumns(#"Grouped Rows",{"Value"}),
#"Added Index" = Table.AddIndexColumn(#"Removed Columns", "New Index", 1, 1, Int64.Type),
#"Expanded Temp" = Table.ExpandTableColumn(#"Added Index", "Temp", {"Index", "Value"}, {"Index", "Value"})
in
#"Expanded Temp"
2. If performance is a consideration, then List.Generate approach
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUQoJCnVVitWJVjJC5hgjc0yQOabIHDMgx83RJxjCM0fhWaDwLJG1GRqg8FCcYWiEos/QGJVrgso1ReWiusfQHG5wLAA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Index = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Index", Int64.Type}, {"Value", type logical}}),
ListOfValue = List.Buffer(#"Changed Type"[Value]),
RowCount = List.Count(ListOfValue),
GenerateIndex = List.Generate(()=>[x=1,i=0], each [i]<RowCount, each [i=[i]+1, x=if ListOfValue{i}<>ListOfValue{[i]} then [x]+1 else [x]], each [x]),
Result = Table.FromColumns(Table.ToColumns(#"Changed Type") & {GenerateIndex},Table.ColumnNames(#"Changed Type")&{"New Index"})
in
Result
Superb. Thanks @Vijay_A_Verma !
Proud to be a Super User!
Paul on Linkedin.
Check out the July 2025 Power BI update to learn about new features.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
User | Count |
---|---|
10 | |
7 | |
6 | |
6 | |
6 |