Forum Discussion

joshs444's avatar
joshs444
Frequent Visitor
3 years ago
Solved

Filter Table based on Condition from Other Table Column

I have two tables:

 

Current Inventory:

 

Container ETA:

 

 

I would like to filter out values in "Container ETA" that are the have the same "Load Name" as "Load" from "Current Inventory" table.

 

So if there is a load name in "Container ETA" that is also in "Current Inventory", I would like all rows removed from "Container ETA" with the that "Load" removed. 

 

I am not too farmiliar with FILTER functions, but it seems like this shouldnt be too difficult.

 

All help is appreciated!

 

Thanks!

  • tamerj1's avatar
    tamerj1
    3 years ago

    joshs444 
    You can place the following measure in the filter pane of the visual and select "is not blank" then apply the filter

    FilterMeasure =
    VAR InventoryLoads =
        VALUES ( 'Current Inventory'[Load] )
    RETURN
        COUNTROWS (
            FILTER ( 'Container ETA', NOT ( 'Container ETA'[Load Name] IN InventoryLoads ) )
        )
  • Anonymous's avatar
    Anonymous
    3 years ago

    Hi joshs444 ,

    If you only want to get the Load Names in the table 'Container ETAwhich also exist in the table 'Current Inventory', you can create a calculated column as below in the table 'Container ETA' to get it.

    Column = 
    CALCULATE (
        MAX ( 'Current Inventory'[LOAD] ),
        FILTER (
            'Current Inventory',
            'Current Inventory'[LOAD] = EARLIER ( 'Container ETA'[Load Name] )
        )
    )

     

    And if you want to remove the rows in the table 'Container ETA' which exist the same Load Name with the LOAD in the table 'Current Inventory', you can follow the below steps to get it in Power Query Editor...

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ldA7EsIwDATQu7jOTLSrT5wb0FBThByD+2NBkxQYp5LG8rMkb1t5mIeUqXAmZgq15bfnS4Rxb6lBkdXPnbJP/4ExgUo9guU3QIi14OcOPeAV18CKyMA4AO+AVZhvQ05L9EStkSd0GQRWLZeIhYMAwRyGtNEOCs8OdhhJ0QFOzQ8KfEfa3w==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Load Name" = _t, #"ETA to Port" = _t, Warehouse = _t, #"Weruva SKU" = _t, Quantity = _t, #"Delivery date to H&M" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Load Name", type text}, {"ETA to Port", type date}, {"Warehouse", type text}, {"Weruva SKU", Int64.Type}, {"Quantity", Int64.Type}, {"Delivery date to H&M", type text}}),
        #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Load Name"}, #"Current Inventory", {"LOAD"}, "Current Inventory", JoinKind.LeftOuter),
        #"Expanded Current Inventory" = Table.ExpandTableColumn(#"Merged Queries", "Current Inventory", {"LOAD"}, {"LOAD"}),
        #"Filtered Rows" = Table.SelectRows(#"Expanded Current Inventory", each ([LOAD] = null)),
        #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"LOAD"})
    in
        #"Removed Columns"

    Best Regards

5 Replies

  • tamerj1's avatar
    tamerj1
    Community Champion

    joshs444 

    So would you like to have a new calculated table?

    Table =
    VAR InventoryLoads =
    VALUES ( 'Current Inventory'[Load] )
    RETURN
    FILTER ( 'Container ETA', NOT ( 'Container ETA'[Load Name] IN InventoryLoads ) )

  • joshs444's avatar
    joshs444
    Frequent Visitor

    Ideally I would filter the initial Container ETAs table, but if that doesnt work then this is a great solution.


    Thanks!

    • tamerj1's avatar
      tamerj1
      Community Champion

      joshs444 
      You can place the following measure in the filter pane of the visual and select "is not blank" then apply the filter

      FilterMeasure =
      VAR InventoryLoads =
          VALUES ( 'Current Inventory'[Load] )
      RETURN
          COUNTROWS (
              FILTER ( 'Container ETA', NOT ( 'Container ETA'[Load Name] IN InventoryLoads ) )
          )
  • Anonymous's avatar
    Anonymous
    Not applicable

    Hi joshs444 ,

    If you only want to get the Load Names in the table 'Container ETAwhich also exist in the table 'Current Inventory', you can create a calculated column as below in the table 'Container ETA' to get it.

    Column = 
    CALCULATE (
        MAX ( 'Current Inventory'[LOAD] ),
        FILTER (
            'Current Inventory',
            'Current Inventory'[LOAD] = EARLIER ( 'Container ETA'[Load Name] )
        )
    )

     

    And if you want to remove the rows in the table 'Container ETA' which exist the same Load Name with the LOAD in the table 'Current Inventory', you can follow the below steps to get it in Power Query Editor...

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ldA7EsIwDATQu7jOTLSrT5wb0FBThByD+2NBkxQYp5LG8rMkb1t5mIeUqXAmZgq15bfnS4Rxb6lBkdXPnbJP/4ExgUo9guU3QIi14OcOPeAV18CKyMA4AO+AVZhvQ05L9EStkSd0GQRWLZeIhYMAwRyGtNEOCs8OdhhJ0QFOzQ8KfEfa3w==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Load Name" = _t, #"ETA to Port" = _t, Warehouse = _t, #"Weruva SKU" = _t, Quantity = _t, #"Delivery date to H&M" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Load Name", type text}, {"ETA to Port", type date}, {"Warehouse", type text}, {"Weruva SKU", Int64.Type}, {"Quantity", Int64.Type}, {"Delivery date to H&M", type text}}),
        #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Load Name"}, #"Current Inventory", {"LOAD"}, "Current Inventory", JoinKind.LeftOuter),
        #"Expanded Current Inventory" = Table.ExpandTableColumn(#"Merged Queries", "Current Inventory", {"LOAD"}, {"LOAD"}),
        #"Filtered Rows" = Table.SelectRows(#"Expanded Current Inventory", each ([LOAD] = null)),
        #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"LOAD"})
    in
        #"Removed Columns"

    Best Regards

  • joshs444's avatar
    joshs444
    Frequent Visitor

    This seems like the best solution. Create a calculated column and then sort in power query to remove values in both tables.

     

    Thanks!