[QUESTION] Better way to send an in-memory file?

I have pandas dataframe I want to send as a csv file to the client. I am currently doing this:

    file = StringIO()
    df_solution.to_csv(file)

    return StreamingResponse(
        iter([file.getvalue()]),
        ...
    )

This works but I don’t know if its the bast way. Intuitively you might be able to send the buffer directly, or at least avoid creating a single value iterator from a list. FileResponse asks for a path so I guess its not what I want. Not a pressing issue but its not obvious what the best solution is in this case.

[rehanhaider]

I have used the below snippet in situations where my files are in-memory (BytesIO) but want to send the file as an attachment that can be downlaoded

  response = StreamingResponse(buffer, media_type="application/zip")
  response.headers["Content-Disposition"] = "attachment; filename=images.zip"

  return response

[scriptator]

If you want to generate the csv string with pandas upfront and then send it in the response (i.e. non-async), you can use PlainTextResponse which should also perform better than the StreamingResponse with a normal iterator.

return PlainTextResponse(csv_str, media_type="text/csv")