Ninety Six Spreadsheets | Python Excels
Thank goodness for Python. My wife asked me this morning, “Honey, can you give me the history of raises for Steve Smithfield and Jeff Johnson”. I told her I’ll look into it, and thought how I might use Python to tackle the problem.
I have the entire history of payroll captured across ninety six spreadsheets, one for each pay period.
To manually click through each spreadsheet, locate the pay rate for the Steve and Jeff, write it down, and go to the next spreadsheet would take about 30 seconds per spreadsheet, or almost 50 minutes. I decided to invest 10 minutes in a Python script I could use over and over. The script basically opens every .xls file in the local directory and creates a list of employee names in the spreadsheet. If Steve or Jeff are found in the list, their salary is appended to a list. After all the spreadsheets are read, the script prints out the results. The spreadsheets are named “Timesheet_20120101.xls” for January 1, 2012, “Timesheet_20120515.xls” for May 15, 2012, etc.
Here is the completed script
# # payroll_steve_jeff.py # Report payrates for two employees across multiple spreadsheets # import win32com.client as win32 import glob import os xlfiles = sorted(glob.glob("*.xls")) print "Reading %d files..."%len(xlfiles) steve =  jeff =  cwd = os.getcwd() excel = win32.gencache.EnsureDispatch('Excel.Application') for xlfile in xlfiles: wb = excel.Workbooks.Open(cwd+"\"+xlfile) ws = wb.Sheets('PAYROLL') xldata = ws.UsedRange.Value names = [r for r in xldata] if u'SMITHFIELD, STEVE' in names: indx = names.index(u'SMITHFIELD, STEVE') steve.append(xldata[indx]) else: steve.append(0) if u'JOHNSON, JEFF' in names: indx = names.index(u'JOHNSON, JEFF') jeff.append(xldata[indx]) else: jeff.append(0) wb.Close() print "File,Jeff,Steve" for i in range(len(xlfiles)): print "%s,%0.2f,%0.2f"%(xlfiles[i],jeff[i],steve[i]) excel.Application.Quit()