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Syndicate_Admin's avatar
Syndicate_Admin
Administrator
4 years ago
Solved

add rows with missing dates to a table

Hello!

I have the following table:

pescadicto__0-1654269714165.png

and I want to get this table:

pescadicto__1-1654269745390.png

In words: in Power Query I want to intersperse rows with the missing dates/times that differ from each other with a constant value (3 hours in the example, in the real case it is every 3 minutes), for any start date and end date, and for any number of columns.

The values of the new rows must be NULL.

I describe in pseudocode of query steps a type of solution that I imagine:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dc89CoAwDIbhq5TOQtP82bq5CoJ76RXcvL9SEIo1EHinh4+U4oHCdp0BAdEBLQDPuXX3kxfSlM3W6WO1t5EF1exg392j2cSEZs3dZkV4jmYHm3ubWRnNNss/tv2bKCmbrfUG", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Fecha = _t, #"Columna 1" = _t, #"Columna 2" = _t, #"…" = _t, #"Columna n" = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Fecha", type datetime}, {"Columna 1", Int64.Type}, {"Columna 2", Int64.Type}, {"…", Int64.Type}, {"Columna n", Int64.Type}}),
    #"Sorted Rows" = Table.Sort(#"Changed Type",{{"Fecha", Order.Ascending}})

tabla_temp = crear tabla con filas "desde min(columa1) hasta max(columna1) cada 3 horas" y con la misma cantidad de columnas

#"Merge" = merge con tabla_temp

in
    #"Merge"

Maybe the solution is different? I need help getting the second table from the first.

Thank you!

  • let
        
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dc89CoAwDIbhq5TOQtP82bq5CoJ76RXcvL9SEIo1EHinh4+U4oHCdp0BAdEBLQDPuXX3kxfSlM3W6WO1t5EF1exg392j2cSEZs3dZkV4jmYHm3ubWRnNNss/tv2bKCmbrfUG", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Fecha = _t, #"Columna 1" = _t, #"Columna 2" = _t, #"…" = _t, #"Columna n" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Columna 1", Int64.Type}, {"Columna 2", Int64.Type}, {"…", Int64.Type}, {"Columna n", Int64.Type}}),
        #"Changed Type with Locale" = Table.TransformColumnTypes(#"Changed Type", {{"Fecha", type datetime}}, "es-MX"),
        NewTable = List.Generate(()=>List.First(#"Changed Type with Locale"[Fecha]),each _ <= List.Last(#"Changed Type with Locale"[Fecha]),each _ + #duration(0,3,0,0)),
        #"Converted to Table" = Table.FromList(NewTable, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
        #"Merged Queries" = Table.NestedJoin(#"Changed Type with Locale", {"Fecha"}, #"Converted to Table", {"Column1"}, "Merged", JoinKind.RightOuter),
        #"Expanded Merged" = Table.ExpandTableColumn(#"Merged Queries", "Merged", {"Column1"}, {"Column1"}),
        #"Changed Type1" = Table.TransformColumnTypes(#"Expanded Merged",{{"Column1", type datetime}}),
        #"Replaced Value" = Table.ReplaceValue(#"Changed Type1",null,each [Column1],Replacer.ReplaceValue,{"Fecha"}),
        #"Removed Columns" = Table.RemoveColumns(#"Replaced Value",{"Column1"}),
        #"Sorted Rows" = Table.Sort(#"Removed Columns",{{"Fecha", Order.Ascending}})
    in
        #"Sorted Rows"

4 Replies

  • let
        
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("dc89CoAwDIbhq5TOQtP82bq5CoJ76RXcvL9SEIo1EHinh4+U4oHCdp0BAdEBLQDPuXX3kxfSlM3W6WO1t5EF1exg392j2cSEZs3dZkV4jmYHm3ubWRnNNss/tv2bKCmbrfUG", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Fecha = _t, #"Columna 1" = _t, #"Columna 2" = _t, #"…" = _t, #"Columna n" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Columna 1", Int64.Type}, {"Columna 2", Int64.Type}, {"…", Int64.Type}, {"Columna n", Int64.Type}}),
        #"Changed Type with Locale" = Table.TransformColumnTypes(#"Changed Type", {{"Fecha", type datetime}}, "es-MX"),
        NewTable = List.Generate(()=>List.First(#"Changed Type with Locale"[Fecha]),each _ <= List.Last(#"Changed Type with Locale"[Fecha]),each _ + #duration(0,3,0,0)),
        #"Converted to Table" = Table.FromList(NewTable, Splitter.SplitByNothing(), null, null, ExtraValues.Error),
        #"Merged Queries" = Table.NestedJoin(#"Changed Type with Locale", {"Fecha"}, #"Converted to Table", {"Column1"}, "Merged", JoinKind.RightOuter),
        #"Expanded Merged" = Table.ExpandTableColumn(#"Merged Queries", "Merged", {"Column1"}, {"Column1"}),
        #"Changed Type1" = Table.TransformColumnTypes(#"Expanded Merged",{{"Column1", type datetime}}),
        #"Replaced Value" = Table.ReplaceValue(#"Changed Type1",null,each [Column1],Replacer.ReplaceValue,{"Fecha"}),
        #"Removed Columns" = Table.RemoveColumns(#"Replaced Value",{"Column1"}),
        #"Sorted Rows" = Table.Sort(#"Removed Columns",{{"Fecha", Order.Ascending}})
    in
        #"Sorted Rows"
      • lbendlin's avatar
        lbendlin
        Super User

        You were already on the right track.  Generate a list of all possible timestamps and then do an outer join.  Learn about the difference between Table.SelectColumns and Table.RemoveColumns  (normally the first one is preferred but in your scenario the second one needs to be used).