Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi, I’m very new to power query but just can’t find a suitable solution. I need to remove a row if the same value exists in another column. I know I need a conditional statement then a filter but just don’t know how to put it all together. So if ID B exists in ID A remove the corresponding ID A row.
ID A. ID B
1
2
3
4 1
5 3
so here the first and third row in ID A would be removed. I would want to keep the row where the value is duplicated in ID B
thanks for any advice.
Solved! Go to Solution.
Try this:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUVKK1YlWMoIxjGEMEyDDEMwyBbKMlWJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"ID A" = _t, #"ID B" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID A", Int64.Type}, {"ID B", Int64.Type}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"ID A"}, #"Changed Type", {"ID B"}, "Changed Type", JoinKind.LeftAnti),
#"Removed Columns" = Table.RemoveColumns(#"Merged Queries",{"Changed Type"})
in
#"Removed Columns"
Input:
Output:
Explanation:
You are joining back to the same table you are in and do the left anti.
Hope this helps!
=Table.SelectRows(YourTable,each not List.Contains(YourTable[ID B],[ID A]))
Thanks - I'm still getting my head around all the functions available so good to know some new ones.
Try this:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUVKK1YlWMoIxjGEMEyDDEMwyBbKMlWJjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"ID A" = _t, #"ID B" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"ID A", Int64.Type}, {"ID B", Int64.Type}}),
#"Merged Queries" = Table.NestedJoin(#"Changed Type", {"ID A"}, #"Changed Type", {"ID B"}, "Changed Type", JoinKind.LeftAnti),
#"Removed Columns" = Table.RemoveColumns(#"Merged Queries",{"Changed Type"})
in
#"Removed Columns"
Input:
Output:
Explanation:
You are joining back to the same table you are in and do the left anti.
Hope this helps!
Thanks, I appreciate you explaining the logic behind it. Really useful.
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
15 | |
12 | |
8 | |
8 | |
7 |
User | Count |
---|---|
15 | |
13 | |
8 | |
7 | |
6 |