Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hello all!
I am currently trying to extract data from a webpage for my client. One of the columns I am trying to extract from changes month every time as it is "used money". The format of the column is right now for instance mm/YY 02-21. So when We move to february it will be 03-21. and then PowerBi each month says: "The column mm/yy-21 was not found". Anyone who knows how I can make my column headers dynamic? 🙂
Solved! Go to Solution.
So there are 2 potential solutions to grabbing a column whose name changes from month to month. But you basically need to rename it to a constant value so that your data model does not have to change.
You could either calculate the name of the column using something like DateTime.ToText(DateTime.LocalNow(), "MM/yy") as per the 3rd step in the query below
let
Source = Csv.Document(File.Contents("C:\Users\darren.gosbell\Documents\dynamic-col.csv"),[Delimiter=",", Columns=2, Encoding=1252, QuoteStyle=QuoteStyle.None]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Renamed Columns" = Table.RenameColumns(#"Promoted Headers",{{DateTime.ToText(DateTime.LocalNow(), "MM/yy"), "UsedMoney"}}),
#"Changed Type" = Table.TransformColumnTypes(#"Renamed Columns",{{"Column1", type text}, {"UsedMoney", Int64.Type}})
in
#"Changed Type"
Or you could potentially just rename the column according to it's position in the dataset (note that the indexing starts from 0 so if this is the 10th column it would be in position {9} ). In my example I was using a simple 2 column file and the 2nd column was dynamic so I used Table.ColumnNames(#"Promoted Headers"){1} to get the current name, then renamed that to "UsedMoney"
let
Source = Csv.Document(File.Contents("C:\Users\darren.gosbell\Documents\dynamic-col.csv"),[Delimiter=",", Columns=2, Encoding=1252, QuoteStyle=QuoteStyle.None]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Renamed Columns" = Table.RenameColumns(#"Promoted Headers",{{Table.ColumnNames(#"Promoted Headers"){1}, "UsedMoney"}}),
#"Changed Type" = Table.TransformColumnTypes(#"Renamed Columns",{{"Column1", type text}, {"UsedMoney", Int64.Type}})
in
#"Changed Type"
So there are 2 potential solutions to grabbing a column whose name changes from month to month. But you basically need to rename it to a constant value so that your data model does not have to change.
You could either calculate the name of the column using something like DateTime.ToText(DateTime.LocalNow(), "MM/yy") as per the 3rd step in the query below
let
Source = Csv.Document(File.Contents("C:\Users\darren.gosbell\Documents\dynamic-col.csv"),[Delimiter=",", Columns=2, Encoding=1252, QuoteStyle=QuoteStyle.None]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Renamed Columns" = Table.RenameColumns(#"Promoted Headers",{{DateTime.ToText(DateTime.LocalNow(), "MM/yy"), "UsedMoney"}}),
#"Changed Type" = Table.TransformColumnTypes(#"Renamed Columns",{{"Column1", type text}, {"UsedMoney", Int64.Type}})
in
#"Changed Type"
Or you could potentially just rename the column according to it's position in the dataset (note that the indexing starts from 0 so if this is the 10th column it would be in position {9} ). In my example I was using a simple 2 column file and the 2nd column was dynamic so I used Table.ColumnNames(#"Promoted Headers"){1} to get the current name, then renamed that to "UsedMoney"
let
Source = Csv.Document(File.Contents("C:\Users\darren.gosbell\Documents\dynamic-col.csv"),[Delimiter=",", Columns=2, Encoding=1252, QuoteStyle=QuoteStyle.None]),
#"Promoted Headers" = Table.PromoteHeaders(Source, [PromoteAllScalars=true]),
#"Renamed Columns" = Table.RenameColumns(#"Promoted Headers",{{Table.ColumnNames(#"Promoted Headers"){1}, "UsedMoney"}}),
#"Changed Type" = Table.TransformColumnTypes(#"Renamed Columns",{{"Column1", type text}, {"UsedMoney", Int64.Type}})
in
#"Changed Type"
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 52 | |
| 51 | |
| 35 | |
| 15 | |
| 14 |
| User | Count |
|---|---|
| 92 | |
| 75 | |
| 41 | |
| 26 | |
| 25 |