python csv reader ignore blank row

﹥>﹥吖頭↗ 提交于 2019-11-29 12:27:05

If your csv files start with a blank line, I think you should be able to skip that line with readline() before creating the csv reader:

with open("ted.csv") as f1, open("ted2.csv") as f2, open('foo.csv', 'w') as out:
    f1.readline()
    f2.readline()
    r1, r2 = csv.reader(f1), csv.reader(f2)

If your blanks are always on the first line, then Marius' answer is simplest. If you have n blanks at the beginning or you just want to skip some number of lines you can use itertools.islice().

Skip first N lines

Suppose you want to skip over the first 4 lines (blank lines or not):

from itertools import islice
with open('csv2.csv', 'r') as f1, open('out.csv', 'w') as out:
    filt_f1 = islice(f1, 4, None)
    r1 = csv.reader(filt_f1)
    wr = csv.writer(out)
    for line in r1:
        ...

Blank lines throughout

If you have blank lines scattered throughout your files then you can filter them out with itertools.filterfalse.

import csv
from itertools import filterfalse
from itertools import chain

with open('csv1.csv', 'r') as f1, open('csv2.csv', 'r') as f2, open('out.csv', 'w') as out:
    # create an iterator without lines that start with '\n'
    filt_f1 = filterfalse(lambda line: line.startswith('\n'), f1)
    filt_f2 = filterfalse(lambda line: line.startswith('\n'), f2)

    # csv.reader consumes the filtered iterators
    r1, r2 = csv.reader(filt_f1), csv.reader(filt_f2)
    wr = csv.writer(out)

    # here insert your logic, I just write both to the same file
    for line in chain(r1, r2):
        wr.writerow(line)

Where csv1.csv is:

time,name,location
12345,Jean,Montreal

12346,Peter,Chicago

1234589,Doug,Boston

and csv2.csv (note: not shown here, but csv2.csv has 4 blank lines at the top of the file):

123457,Scott,San Diego

123458,Jen,Miami

123459,Robert,Sacramento

output out.csv does not have blank lines throughout:

time,name,location
12345,Jean,Montreal
12346,Peter,Chicago
1234589,Doug,Boston
123457,Scott,San Diego
123458,Jen,Miami
123459,Robert,Sacramento
易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!