Forum Discussion
Bulk Renaming Columns after Splitting by Delimiter
- 4 years ago
You can use this where #"Split Column by Delimiter" is last step and it will generate names like "ID","Permit Ref","EndDate", "ID1","Permit Ref1","EndDate1", "ID2","Permit Ref2","EndDate2" and so on. It is not dependent upon how many columns do you have
= Table.TransformColumnNames(#"Split Column by Delimiter",(x)=> if Text.Start(x,5)="data." then {"ID","Permit Ref","EndDate"}{Number.Mod(Number.From(Text.AfterDelimiter(x,"."))-1,3)} else x)See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test (later on when you use the query on your dataset, you will have to change the source appropriately. If you have columns other than these, then delete Changed type step and do a Changed type for complete table from UI again)
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("DY6xEcMwDMR2cY1CzycpaRafi+TiBbx/ER8KlMB5Hr/7OTju5+X1hy8mKZrJYqOBhAIZJSrUaKKFNjEIEUGYSKKIJiaxiI0HFg5snLhw44kX3uQgRQb5FpMssslJLnJTgxIVlKl3qKimJrWoTQ9adNCm87iuPw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ColA = _t, ColB = _t, data = _t]), #"Split Column by Delimiter" = Table.SplitColumn(Source, "data", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"data.1", "data.2", "data.3", "data.4", "data.5", "data.6", "data.7", "data.8", "data.9", "data.10", "data.11", "data.12", "data.13", "data.14", "data.15", "data.16", "data.17", "data.18", "data.19", "data.20", "data.21", "data.22", "data.23", "data.24", "data.25", "data.26", "data.27", "data.28", "data.29", "data.30", "data.31", "data.32", "data.33", "data.34", "data.35", "data.36", "data.37", "data.38", "data.39", "data.40", "data.41", "data.42", "data.43", "data.44", "data.45", "data.46", "data.47", "data.48", "data.49", "data.50", "data.51", "data.52", "data.53", "data.54", "data.55", "data.56", "data.57", "data.58", "data.59", "data.60", "data.61", "data.62", "data.63", "data.64"}), Custom1 = Table.TransformColumnNames(#"Split Column by Delimiter",(x)=> if Text.Start(x,5)="data." then {"ID","Permit Ref","EndDate"}{Number.Mod(Number.From(Text.AfterDelimiter(x,"."))-1,3)} else x) in Custom1
You can use this where #"Split Column by Delimiter" is last step and it will generate names like "ID","Permit Ref","EndDate", "ID1","Permit Ref1","EndDate1", "ID2","Permit Ref2","EndDate2" and so on. It is not dependent upon how many columns do you have
= Table.TransformColumnNames(#"Split Column by Delimiter",(x)=> if Text.Start(x,5)="data." then {"ID","Permit Ref","EndDate"}{Number.Mod(Number.From(Text.AfterDelimiter(x,"."))-1,3)} else x)
See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test (later on when you use the query on your dataset, you will have to change the source appropriately. If you have columns other than these, then delete Changed type step and do a Changed type for complete table from UI again)
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("DY6xEcMwDMR2cY1CzycpaRafi+TiBbx/ER8KlMB5Hr/7OTju5+X1hy8mKZrJYqOBhAIZJSrUaKKFNjEIEUGYSKKIJiaxiI0HFg5snLhw44kX3uQgRQb5FpMssslJLnJTgxIVlKl3qKimJrWoTQ9adNCm87iuPw==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ColA = _t, ColB = _t, data = _t]),
#"Split Column by Delimiter" = Table.SplitColumn(Source, "data", Splitter.SplitTextByDelimiter(",", QuoteStyle.Csv), {"data.1", "data.2", "data.3", "data.4", "data.5", "data.6", "data.7", "data.8", "data.9", "data.10", "data.11", "data.12", "data.13", "data.14", "data.15", "data.16", "data.17", "data.18", "data.19", "data.20", "data.21", "data.22", "data.23", "data.24", "data.25", "data.26", "data.27", "data.28", "data.29", "data.30", "data.31", "data.32", "data.33", "data.34", "data.35", "data.36", "data.37", "data.38", "data.39", "data.40", "data.41", "data.42", "data.43", "data.44", "data.45", "data.46", "data.47", "data.48", "data.49", "data.50", "data.51", "data.52", "data.53", "data.54", "data.55", "data.56", "data.57", "data.58", "data.59", "data.60", "data.61", "data.62", "data.63", "data.64"}),
Custom1 = Table.TransformColumnNames(#"Split Column by Delimiter",(x)=> if Text.Start(x,5)="data." then {"ID","Permit Ref","EndDate"}{Number.Mod(Number.From(Text.AfterDelimiter(x,"."))-1,3)} else x)
in
Custom1
- HelenBrunyee4 years agoHelper I
Oh my gosh! I cannot tell you how helpful this is! Worked a treat - thank you so so much! You have saved me countless hours of manual work (especially as more and more columns get added!) - genius! 😄 thanks again, relaly appreciate it!