Save a range as text file using VBA [tutorial]

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Last night I asked members of our Chandoo.org facebook page to share an Excel problem you are struggling with.  Francis asked,

How to save a file as .txt in vba without quotes? When I save as .txt, the file has got quotes inside of it. I used the code Print, but it didnt work because the file loses its delimitation.
Does anyone know how to solve this?

Let’s understand how to save a range as text and overcome the double quote problem.

Saving a range as Text – the easy way

Say you have a file like this:

save-range-as-text-vba-data

The easy option is to save your worksheet as text file using below macro.



Sub saveText()
    ActiveWorkbook.SaveAs filename:= _
        ThisWorkBook.Path & "\textfile-" & Format(Now, "ddmmyy-hhmmss") & ".txt", FileFormat:=xlText, _
        CreateBackup:=False
End Sub

While this works, it has 2 problems.

  1. It exports the entire current worksheet.
  2. It adds double quotes “” to text values or formatted cells.

So you get this.

save-as-text-quotation-marks

Saving a range as Text – the proper way

We can create a blank text file using VBA and write the range data values in to that file. This way we will have full control over what goes in to the file and how it’s formatted.

Here is the code:


Sub saveText2()
    Dim filename As String, lineText As String
    Dim myrng As Range, i, j
    
    filename = ThisWorkbook.Path & "\textfile-" & Format(Now, "ddmmyy-hhmmss") & ".txt"
    
    Open filename For Output As #1
    
    Set myrng = Range("data")
    
    For i = 1 To myrng.Rows.Count
        For j = 1 To myrng.Columns.Count
            lineText = IIf(j = 1, "", lineText & ",") & myrng.Cells(i, j)
        Next j
        Print #1, lineText
    Next i
    
    Close #1
End Sub

Let’s understand the code…

Create a file name

We take the current workbook path and set up textfile-time stamp.txt in that directory.

Note, the time stamp portion is dynamic and changes every time you run the code.

We then open the file using Open filename For Output As #1 line.

This sets up a new file and opens it for us to write anything we want.

Loop thru range data and write values to the file

We loop thru each and every cell of the range("data"). We need to take all the values in a row and concatenate them with delimiter comma (,).

This is done in nested for loops (related: Introduction to For loop- Excel VBA)

We loop thru each column in a row and construct lineText.

We then print this lineText to file #1 using,

Print #1, lineText

Finally we close the file.

The end result

This is what we get.

save-as-text-final

Download Save Text example macro

Click here to download the example workbookExamine the savetext macro to learn more.

How do you create text files using VBA?

Do you create text / CSV / TSV files from Excel data? How do you automate the process? Please share your tips and ideas in the comments section.

Learn more powerful ways to use VBA:

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8 Responses to “Pivot Tables from large data-sets – 5 examples”

  1. Ron S says:

    Do you have links to any sites that can provide free, large, test data sets. Both large in diversity and large in total number of rows.

    • Chandoo says:

      Good question Ron. I suggest checking out kaggle.com, data.world or create your own with randbetween(). You can also get a complex business data-set from Microsoft Power BI website. It is contoso retail data.

  2. Steve J says:

    Hi Chandoo,
    I work with large data sets all the time (80-200MB files with 100Ks of rows and 20-40 columns) and I've taken a few steps to reduce the size (20-60MB) so they can better shared and work more quickly. These steps include: creating custom calculations in the pivot instead of having additional data columns, deleting the data tab and saving as an xlsb. I've even tried indexmatch instead of vlookup--although I'm not sure that saved much. Are there any other tricks to further reduce the file size? thanks, Steve

    • Chandoo says:

      Hi Steve,

      Good tips on how to reduce the file size and / or process time. Another thing I would definitely try is to use Data Model to load the data rather than keep it in the file. You would be,
      1. connect to source data file thru Power Query
      2. filter away any columns / rows that are not needed
      3. load the data to model
      4. make pivots from it

      This would reduce the file size while providing all the answers you need.

      Give it a try. See this video for some help - https://www.youtube.com/watch?v=5u7bpysO3FQ

  3. John Price says:

    Normally when Excel processes data it utilizes all four cores on a processor. Is it true that Excel reduces to only using two cores When calculating tables? Same issue if there were two cores present, it would reduce to one in a table?
    I ask because, I have personally noticed when i use tables the data is much slower than if I would have filtered it. I like tables for obvious reasons when working with datasets. Is this true.

    • Ron MVP says:

      John:
      I don't know if it is true that Excel Table processing only uses 2 threads/cores, but it is entirely possible. The program has to be enabled to handle multiple parallel threads. Excel Lists/Tables were added long ago, at a time when 2 processes was a reasonable upper limit. And, it could be that there simply is no way to program table processing to use more than 2 threads at a time...

  4. Jen says:

    When I've got a large data set, I will set my Excel priority to High thru Task Manager to allow it to use more available processing. Never use RealTime priority or you're completely locked up until Excel finishes.

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