text: Ideally i am copying an entire row from another excel worksheet. So instead of showing that code, my problem starts from when i have that row in a list, how do i put it in another excel worksheet now? I want it to look exactly the same. Goal: Take either of the data formats, and putting them in a blank excel worksheet in e.g. row 1. I would like this to be something fast, since i plan to scale it up to 10,000 rows.
  Data can be in either format:
  data = [number:6842.0, xldate:41771.0, xldate:0.005555555555555556, text:u'Hello World'] data = [6842.0, 41771.0, 0.005555555555555556, u'Hello World']
  My Code:
  import xlwt wb = xlwt.Workbook() data = [6842.0, 41771.0, 0.005555555555555556, u'Hello World'] #either format sheet1 = wb.add_sheet("MyData") sheet1.write(1,0,data) wb.save('C:\Python27\helloworld.xls')
  This is how i am grabbing my data from an excel file:
  from xlrd import * import xlwt book = open_workbook(filename= 'C:\Users\ssheikh\Desktop\CopyFile.xls') sh = book.sheet_by_index(0) workbook = xlwt.Workbook() sheet = workbook.add_sheet("MyData") b = xldate.xldate_from_date_tuple((2014,5,12), 0) c = xldate.xldate_from_date_tuple((2014,5,13), 0) mylist = [] listc = [] listd = [] for i in xrange(0,sh.nrows): if sh.cell_value(rowx=i, colx =1) == b: mylist.append(i) listd.append(sh.row_values(i)) print 'the number', b ,'was found in row=', i, 'and column =0' if sh.cell_value(rowx=i,colx =1) == c: listc.append(i) listd.append(sh.row(i)) #mylist[0] #upper limit of my rows #listc[-1] #lower limit of my rows listd # this has all of my rows that i want to put in a new excel file
  I don’t see any
  write_row method in xlwt like there is
  row_values in xlrd. There is only
  sheet.write of the Worksheet object of or
  write_rich_text if need be.
  for row_index, row in enumerate(listd): for col_index, cell_value in enumerate(row): sheet.write(row_index, col_index, cell_value) workbook.save("myData.xls")
  If there are special styles you can use the optional
  style argument of
  write.
  Tags: excel, pythonpython