Solved! Go to Solution.
Here's how you do it in M (Power Query):
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjLSMzTQMzIwtFSK1QFyjfUMDYFcAwOl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [DateDD.MM.YYYY = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"DateDD.MM.YYYY", type text}}), #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type", "DateDD.MM.YYYY", Splitter.SplitTextByDelimiter(".", QuoteStyle.Csv), {"DateDD.MM.YYYY.1", "DateDD.MM.YYYY.2", "DateDD.MM.YYYY.3"}), #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"DateDD.MM.YYYY.1", Int64.Type}, {"DateDD.MM.YYYY.2", Int64.Type}, {"DateDD.MM.YYYY.3", Int64.Type}}), #"Reordered Columns" = Table.ReorderColumns(#"Changed Type1",{"DateDD.MM.YYYY.3", "DateDD.MM.YYYY.2", "DateDD.MM.YYYY.1"}), #"Merged Columns" = Table.CombineColumns(Table.TransformColumnTypes(#"Reordered Columns", {{"DateDD.MM.YYYY.3", type text}, {"DateDD.MM.YYYY.2", type text}, {"DateDD.MM.YYYY.1", type text}}, "en-GB"),{"DateDD.MM.YYYY.3", "DateDD.MM.YYYY.2", "DateDD.MM.YYYY.1"},Combiner.CombineTextByDelimiter("", QuoteStyle.None),"Merged"), #"Changed Type2" = Table.TransformColumnTypes(#"Merged Columns",{{"Merged", Int64.Type}}) in #"Changed Type2"
Just put this code into Advanced Editor in Power Query and see each step. This is very simple 🙂
Best
Darek
Text.From(Date.Year([YourDate]))&
Text.PadStart(Text.From(Date.Month([YourDate])),2,"0")&
Text.PadStart(Text.From(Date.Day([YourDate])),2,"0")
In Power Query do this:
Date.Year([yourdate])*10000+Date.Month([yourdate])*100+Date.Day([yourdate])
Honestly, this is simple and brilliant. Worked perfectly for me with only that one line of code. Thanks!
IS there any function, which trasfers a Date in the format DD.MM.YYYY into a whole number YYYYMMDD?
Thanks.
Holger
Here's how you do it in M (Power Query):
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjLSMzTQMzIwtFSK1QFyjfUMDYFcAwOl2FgA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [DateDD.MM.YYYY = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"DateDD.MM.YYYY", type text}}), #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type", "DateDD.MM.YYYY", Splitter.SplitTextByDelimiter(".", QuoteStyle.Csv), {"DateDD.MM.YYYY.1", "DateDD.MM.YYYY.2", "DateDD.MM.YYYY.3"}), #"Changed Type1" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"DateDD.MM.YYYY.1", Int64.Type}, {"DateDD.MM.YYYY.2", Int64.Type}, {"DateDD.MM.YYYY.3", Int64.Type}}), #"Reordered Columns" = Table.ReorderColumns(#"Changed Type1",{"DateDD.MM.YYYY.3", "DateDD.MM.YYYY.2", "DateDD.MM.YYYY.1"}), #"Merged Columns" = Table.CombineColumns(Table.TransformColumnTypes(#"Reordered Columns", {{"DateDD.MM.YYYY.3", type text}, {"DateDD.MM.YYYY.2", type text}, {"DateDD.MM.YYYY.1", type text}}, "en-GB"),{"DateDD.MM.YYYY.3", "DateDD.MM.YYYY.2", "DateDD.MM.YYYY.1"},Combiner.CombineTextByDelimiter("", QuoteStyle.None),"Merged"), #"Changed Type2" = Table.TransformColumnTypes(#"Merged Columns",{{"Merged", Int64.Type}}) in #"Changed Type2"
Just put this code into Advanced Editor in Power Query and see each step. This is very simple 🙂
Best
Darek
Hello Darek,
Thanks for this M query.
In this query I am getting 28 feb 2020 as 2020282, can we change this to 20202802 and same is happening for months less than 10 as well. Please suggest thanks
I did it easier with DateKey = VALUE(FORMAT(Table[Column]; "YYYYMMDD"))
Holger
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