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asif999
Frequent Visitor

Combine CSV Files with Uneven Columns & Junk Rows

I have 4 different .csv files that sit in a folder. I want to combine all of these.

But there is a catch, the first 2 files have 4 top junk rows that need to be removed and 5 columns.
And the last 2 files have 5 top junks rows and 6 columns.

I am looking for a dynamic way of combining all my CSV files from a folder.

 

Download Files

 

Expecting Result

DateSettlement IDclosing feespromo rebatesTDStotal
01-01-202211122233312.5null3.5
02-01-202211122233312.5null3.5
03-01-202211122233312.5null3.5
04-01-202211122233312.5null3.5
05-01-202211122233312.5null3.5
01-02-202222233344423.5null4.5
02-02-202222233344423.5null4.5
03-02-202222233344423.5null4.5
04-02-202222233344423.5null4.5
01-03-202244455566635.519.5
02-03-202244455566635.519.5
03-03-202244455566635.519.5
01-04-20223337778887.51.40.759.65
02-04-20223337778887.51.40.759.65
03-04-20223337778887.51.40.759.65
1 ACCEPTED SOLUTION
AlienSx
Super User
Super User

Hello, @asif999 

let
    Source = Folder.Files(<path_to_your_folder>),
    file_names = List.Buffer(Table.AddColumn(Source, "fp", each [Folder Path] & [Name])[fp]),
    fx_csv = (path as text) as table =>
        let
        csv = Csv.Document(File.Contents(path),[Delimiter=",", Encoding=1252, QuoteStyle=QuoteStyle.None]),
        remove_lines = Table.Skip( csv, List.PositionOf( csv[Column2], "Settlement ID")),
        promote = Table.PromoteHeaders(remove_lines)
    in
        promote,
    files = Table.Combine(List.Transform(file_names, fx_csv)),
    reorder = Table.ReorderColumns(files,{"Date", "Settlement ID", "closing fees", "promo rebates", "TDS", "total"})
in
    reorder

View solution in original post

4 REPLIES 4
AlienSx
Super User
Super User

Hello, @asif999 

let
    Source = Folder.Files(<path_to_your_folder>),
    file_names = List.Buffer(Table.AddColumn(Source, "fp", each [Folder Path] & [Name])[fp]),
    fx_csv = (path as text) as table =>
        let
        csv = Csv.Document(File.Contents(path),[Delimiter=",", Encoding=1252, QuoteStyle=QuoteStyle.None]),
        remove_lines = Table.Skip( csv, List.PositionOf( csv[Column2], "Settlement ID")),
        promote = Table.PromoteHeaders(remove_lines)
    in
        promote,
    files = Table.Combine(List.Transform(file_names, fx_csv)),
    reorder = Table.ReorderColumns(files,{"Date", "Settlement ID", "closing fees", "promo rebates", "TDS", "total"})
in
    reorder

Thank @AlienSx for your answer.

 

I have done it this way.

 

let
    Source = Folder.Files("B:\Excel Learning\Power Query Learning\1. Combining CSV Files with Uneven Columns & Junk Rows\CSV Files"),
    Table_Cleaned = Table.AddColumn(Source, "Custom", each 
    let 
        MyTable = Csv.Document([Content]),
        MyList = MyTable[Column1],
        Position_Of_Date = List.PositionOf(MyList,"Date"),
        My_Table_Cleaned = Table.Skip(MyTable,Position_Of_Date),
        Promote_Headers = Table.PromoteHeaders(My_Table_Cleaned)
    in 
Promote_Headers),
    Col_Names = Table.AddColumn(Table_Cleaned, "Custom.1", each Table.ColumnNames([Custom])),
    Distinct_Col_Names = List.Distinct(List.Combine(Col_Names[Custom.1])),
    Expaned_Table = Table.ExpandTableColumn(Table.SelectColumns(Col_Names,"Custom"),"Custom",Distinct_Col_Names)
in
    Expaned_Table

 

 

I wouldn't be so confident about "Date" column in Position_Of_Date step because you have some junk data above. What if List.PositionOf finds "Date" text in there?

It won't ever find the date in junk rows. But I will consider your suggestion to remain 100% safe. I will use the second-column header instead.

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