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danielsaf
Regular Visitor

Get API data in XML format and transform

Hello,

 

I'm loading XML data from a legacy SOAP WS (great post here on how to get it).

Some of the tags are empty and the Get Data interprets it as [Table] array. 

 

Capture.PNG

 

I need to get rid of the [Table] values, turn to 0 or blank.

I've tried all kind of Table.ReplaceValue and can't get it to work.

Below an output example of the XML

 

<?xml version="1.0" encoding="utf-8"?>
<ROOT>
    <result>
        <CARDS>
            <CARD>
                <FIELDS>
                    <F_N>Mike</F_N>
                    <P_N>Last</P_N>
                    <TID>1111111111</TID>
                    <ACTIVE_WORKER>1</ACTIVE_WORKER>
                    <MAIL>something@something.com</MAIL>
                    <CELL>222222222</CELL>
                    <USER_ROLE>master</USER_ROLE>
                    <LIMITED_PERMISSION></LIMITED_PERMISSION>
                </FIELDS>
            </CARD>
        </CARDS>
    </result>
</ROOT>

 

 

[First question in this amazing forum I've been following and learning from for years .... Smiley Very Happy]

1 ACCEPTED SOLUTION
Anonymous
Not applicable

@danielsaf,

Please add an step into Advanced Editor of your query.

#"expandcolumn"= Table.TransformColumns(yourpreviousstep , {{"LIMITED_PERMISSION", each if Value.Is(_, type table) then 0 else _ }} )

1.PNG

Regards,
Lydia

View solution in original post

3 REPLIES 3
Anonymous
Not applicable

@danielsaf,

Please add an step into Advanced Editor of your query.

#"expandcolumn"= Table.TransformColumns(yourpreviousstep , {{"LIMITED_PERMISSION", each if Value.Is(_, type table) then 0 else _ }} )

1.PNG

Regards,
Lydia

Excellent, exactely what I was looking for.

Is there a way to do it once for all columns or simply repeat the columns like this

 

    #"Expandcolumn"= Table.TransformColumns(#"Removed Columns", {{"LIMITED_PERMISSION", each if Value.Is(_, type table) then 0 else _ },{"USER_ROLE", each if Value.Is(_, type table) then "" else _ }} ),
Anonymous
Not applicable

@danielsaf,

Please repeat this step for all the columns that you need to expand.

Regards,
Lydia

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