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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.
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