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HolgerS
Frequent Visitor

Transform Date from DD.MM.YYYY into YYYYMMDD as whole number

 
1 ACCEPTED SOLUTION
Anonymous
Not applicable

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

View solution in original post

7 REPLIES 7
AndyFL
New Member

Text.From(Date.Year([YourDate]))&
Text.PadStart(Text.From(Date.Month([YourDate])),2,"0")&
Text.PadStart(Text.From(Date.Day([YourDate])),2,"0")

scottymac
New Member

In Power Query do this:

 

Date.Year([yourdate])*10000+Date.Month([yourdate])*100+Date.Day([yourdate])

 

 

HolgerS
Frequent Visitor

IS there any function, which trasfers a Date in the format DD.MM.YYYY into a whole number YYYYMMDD?

Thanks.

 

Holger

Anonymous
Not applicable

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

Anonymous
Not applicable

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

Anonymous
Not applicable

Be careful doing this. This most likely works only because you've got the right regional settings on your computer. If you go to a different setting, the code will break.

The most fool-proof way of doing this is through PQ as I showed you. Moreover, creating calculated columns in DAX should be avoided and used only when there's no other option. Many reasons why.

Best
D.

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