使用xlwt将列表列表写入excel文件

Question

I have a list of lists like:

[
[u'email', u'salutation', u'firstname', u'lastname', u'remarks', None, None, None, None, None],
[u'harry@harrypotter.com', u'Mr', u'Daniel', u'Radcliffe', u'expecto patronum', None, None, None, None, None],
[u'snape@harrypotter.com', u'Mr', u'Severus', u'Snape', u'Always', None, None, None, None, None],
]

I want to insert this to an excel file. It is possible to do so one by one by writing each element.

book = xlwt.Workbook(encoding="utf-8")
sheet1 = book.add_sheet("Sheet 1")

row = 0
for l in listdata:
    col = 0
    for e in l:
        if e:
          sheet1.write(row, col, e)
        col+=1
    row+=1

But this method does not look very efficient as the each element of the entire list has to be traversed. Is there a more efficient method to do the same in python with xlwt ?

Answer 1

EDIT : Fixed error in benchmark code.

You can shorten things a bit to make them more pythonic:

for i, l in enumerate(listdata):
    for j, col in enumerate(l):
        sheet.write(i, j, col)

But as far as I know there is no easy method to write to as there is with csv.reader .

---

PS: In your supplied code, you never increment row or col , so you overwrite the cell at (0,0) every iteration of the nested for loop. Careful! Using enumerate will fix that.

---

Benchmarks

As it turns out, join ing each row together with a comma and writing it is roughly 3 times faster than using enumerate once.

Here's some test code:

import xlwt
import timeit


def wrapper(fn, *args, **kwargs):
    def wrapped():
        return fn(*args, **kwargs)
    return wrapped

def excel_writer():
    xldoc = xlwt.Workbook()
    sheet1 = xldoc.add_sheet("Sheet1", cell_overwrite_ok=True)
    rows = [[str(y) for y in xrange(100)] for x in xrange(10000)]
    fn1 = wrapper(cell_writer, rows, sheet1)
    fn2 = wrapper(row_writer, rows, sheet1)
    print timeit.timeit(fn1, number=10)/10 
    print timeit.timeit(fn2, number=10)/10 
    xldoc.save('myexcel.xls')


def cell_writer(rows, sheet):
    for i, row in enumerate(rows):
        for j, col in enumerate(row):
            sheet.write(i, j, col)

def row_writer(rows, sheet):
    rows = [', '.join(row) for row in rows]
    for i, strrow in enumerate(rows):
        sheet.write(i, 0, strrow)

if __name__ == '__main__':
    excel_writer()

with number = 1 (divided by 1 of course):

cell_writer: 15.2915050441

row_writer : 0.205128928987

with number = 10 :

cell_writer: 17.3386430596

row_writer : 0.204951626882

I attribute the big time difference to the increased speed of join over writing to excel. The biggest bottleneck in terms of speed, of course, the excel writing.

However, be aware that the time it takes to split the cells apart in excel may outweigh the time saved with the row_writer approach. It may also inconvenience the end user; exercise judgement!