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Anonymous's avatar
Anonymous
Not applicable
6 years ago
Solved

Changing data type from number to text adds trailing zero

I have a weird issue where I sometimes get trailing zeros when changing the data type from decimal number to text. This is happening in Power Query with Power BI Desktop.    I have a number column ...
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  • v-juanli-msft's avatar
    v-juanli-msft
    6 years ago

    Hi Anonymous 

    Sorry, i can't figure out why leads this problem.

    Maybe my previous workaround is not good, please check this one.

    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("TczLCcAwDAPQXXIuxrFkJ56lZP81mk8pvUlPoPsuKqqte7lWMniUcR2NllsNqvZp9roV9Giv9iBsa2+RuZUpygQnI2Xu9c9TCaHTzrPNAoeuARQzehnjAQ==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Verkoopfactuur_prijs = _t, Verkoopfactuur_inkoopwaarde = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Verkoopfactuur_prijs", type number}, {"Verkoopfactuur_inkoopwaarde", type number}}),
    #"dwh Vervang Null waarden"= Table.TransformColumns(#"Changed Type",{{"Verkoopfactuur_prijs", each Number.Round(_, 4, 0), type number}, {"Verkoopfactuur_inkoopwaarde", each Number.Round(_, 2, 0), type number}}),
    #"Changed Type1" = Table.TransformColumnTypes(#"dwh Vervang Null waarden",{{"Verkoopfactuur_prijs", type text}}),
    #"Split Column by Delimiter" = Table.SplitColumn(#"Changed Type1", "Verkoopfactuur_prijs", Splitter.SplitTextByDelimiter(".", QuoteStyle.Csv), {"Verkoopfactuur_prijs.1", "Verkoopfactuur_prijs.2"}),
    #"Changed Type2" = Table.TransformColumnTypes(#"Split Column by Delimiter",{{"Verkoopfactuur_prijs.1", Int64.Type}, {"Verkoopfactuur_prijs.2", type text}}),
    #"Extracted First Characters" = Table.TransformColumns(#"Changed Type2", {{"Verkoopfactuur_prijs.2", each Text.Start(_, 4), type text}}),
    #"Merged Columns" = Table.CombineColumns(Table.TransformColumnTypes(#"Extracted First Characters", {{"Verkoopfactuur_prijs.1", type text}}, "en-US"),{"Verkoopfactuur_prijs.1", "Verkoopfactuur_prijs.2"},Combiner.CombineTextByDelimiter(".", QuoteStyle.None),"Verkoopfactuur_prijs")
in
    #"Merged Columns"
    Best Regards
    Maggie
    Community Support Team _ Maggie Li
    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
v-juanli-msft's avatar
v-juanli-msft
Community Support
6 years ago

Hi Anonymous 

Modify the code in Advanced editor as below

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("PcjRCcAwCAXAXfwOxWp86izB/dcItSF/x61F/DB7GI1Pogaq8S88e0WZ5W7G26vT4GcDU6U3HJlUtQE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Verkoopfactuur_prijs = _t, Verkoopfactuur_inkoopwaarde = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Verkoopfactuur_prijs", type number}, {"Verkoopfactuur_inkoopwaarde", type number}}),
    #"dwh Vervang Null waarden"= Table.TransformColumns(#"Changed Type",{{"Verkoopfactuur_prijs", each Number.Round(_, 4, 0), type number}, {"Verkoopfactuur_inkoopwaarde", each Number.Round(_, 2, 0), type number}}),
    #"Extracted First Characters" = Table.TransformColumns(#"dwh Vervang Null waarden", {{"Verkoopfactuur_prijs", each Text.Start(Text.From(_, "en-US"), 6), type text},{"Verkoopfactuur_inkoopwaarde", each Text.Start(Text.From(_, "en-US"), 4), type text}})
in
    #"Extracted First Characters"
Best Regards
Maggie
Community Support Team _ Maggie Li
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

sds

  • AnkitBI's avatar
    AnkitBI
    Solution Sage
    6 years ago

    v-juanli-msft - That's a WorkAround. Any reason for this behaviour. Why a '0' is getting added on changing from Number to Text.

     

    ImkeF Zubair_Muhammad  - Any thoughts

     

    Thanks,

    Ankit Jain

  • Anonymous's avatar
    Anonymous
    Not applicable
    6 years ago

    Hi v-juanli-msft ,

     

    Thanks for your answer! However your solution sadly doesnt fit the requirement. Numbers in my column can also have values of let's say 49.0493, it's not always 6 characters. 

    I was thinking that as a workaround I could check on which position the last zero is in the string and if that is the same as the total length of the string it needs to be deleted. Have not got that working though. 

     

    Also would ofcourse much prefer a solution instead of a workaround. :)