It starts off innocently enough. I've got a few customer contacts here, I'll just whop them in an Excel spreadsheet for now. And then before you know it you have this giant Frankenstein monster on your hands, and it's covered in data warts, and boils and hideous scars. And it wants to eat you for breakfast. Everyone has seen one of those spreadhseets right? I've seen too many than is healthy for you. I still have nightmares about some of them.
So, it's usually at the Frankenstein monster stage that I get the call. The conversation usually goes something like this: "I've got this spreadsheet, and I wanna get stuff out of that and over there." I can do that for you...but...hasn't there got to be a better way? Well yes there is, but I'll save databases for another article or two. I'll start with the first part of that conversation - getting data out of the spreadsheet. Python makes this so trivial it's almost a travesty to bill clients for it.
# grabs data from XLS file. Delimits columns by '|'. Use redirection # to write out to file, otherwise output is to stdout import sys import openpyxl from openpyxl import load_workbook file = sys.argv # 'XYZ.xlsx' wb = load_workbook(filename = file) sheet1 = wb.get_sheet_by_name('ABC') sheet2 = wb.get_sheet_by_name('DEF') ws = sheet1 rows = ws.rows for row in ws.rows: record_string = "" for cell in row: record_string = record_string + str(cell.value) record_string = record_string + "|" # Remove carriage returns from within row record_string = record_string.replace('\n', '~') # if column 1 and column 2 are None then ignore row record_array = record_string.split('|') colstr1 = record_array.strip() colstr2 = record_array.strip() if not colstr1 == "None": if not colstr2 == "None": print(record_string)
So, the code is easy enough. A spreadsheet file usually has one or more worksheets contained inside, and the wonderful
openpyxl makes it easy to get any and all sheets. You then pick a sheet and process it to your heart's content.
My usual strategy is to get in and out of a spreadsheet ASAP. I want to generate some kind of sane intermediate file. If I can do some processing cheaply while I'm in there I will do it. For example, in this case, I delimit outputted fields with '|' to make subsequent processing easier. Where fields contain hard carriage returns I replace those by twiddle ('~') as an aid to later debugging of the sheet. Bits and pieces like that. But generally I prefer to get in and out fast. Get my data into an intermediate format, and then take the processing from there.
As a general note I do like to take the Unix approach to data processing. I tend to write several small programs that do one thing, and then chain them together with a shell script, redirection and pipes and whatever's needed. It's much easier and more flexible than one big hullabaloo program that tries to do everything. You'll tend to find the smaller programs can be reused in multiple projects with minor changes. The code above has been used several times now in different projects, with the only changes being to the sheet names. You could even pass those in as command-line parameters, like I do with the spreadsheet filename, if you wanted to be even more generic.