Question

我正在尝试使用以下格式导出一些数据

    Sat Jan  3 18:15:05 2009    62e907b15cbf27d5425399ebf6f0fb50ebb88f18    4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127b7afdeda33b +              50.00000000

使用以下格式

进入csv

Fri Jan  9 03:23:48 2009,c1c6cb1b7d3c5a3f1dbd79ebd80d29bc6145e2fc,63522845d294ee9b0188ae5cac91bf389a0c3723f084ca1025e7d9cdfe481ce1,+,              50.00000000

不幸的是，这就是我得到的

(,',F,r,i, ,J,a,n, , ,9, ,0,3,:,2,3,:,4,8, ,2,0,0,9,',",", ,',c,1,c,6,c,b,1,b,7,d,3,c,5,a,3,f,1,d,b,d,7,9,e,b,d,8,0,d,2,9,b,c,6,1,4,5,e,2,f,c,',",", ,',6,3,5,2,2,8,4,5,d,2,9,4,e,e,9,b,0,1,8,8,a,e,5,c,a,c,9,1,b,f,3,8,9,a,0,c,3,7,2,3,f,0,8,4,c,a,1,0,2,5,e,7,d,9,c,d,f,e,4,8,1,c,e,1,',",", ,',+,',",", ,', , , , , , , , , , , , , , ,5,0,.,0,0,0,0,0,0,0,0,',)

这是我的代码

import csv
import struct

fieldwidths = (-4, 24, -4, 40,-4,64,-1,1,25)  # negative widths represent ignored padding fields
fmtstring = ' '.join('{}{}'.format(abs(fw), 'x' if fw < 0 else 's')
                        for fw in fieldwidths)
fieldstruct = struct.Struct(fmtstring)
parse = fieldstruct.unpack_from

c = csv.writer(open("/home/ulrich/Desktop/disertation/sample_parsed_blch1.csv", "wb"))
fields = parse("    Sat Jan  3 18:15:05 2009    62e907b15cbf27d5425399ebf6f0fb50ebb88f18    4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127b7afdeda33b +              50.00000000")

c.writerow(format(fields))

Answer 1

问题是您将fields格式化为字符串。 writerow将传递给它的集合的每个元素视为csv行中的一列。对于单个字符串，这意味着每个字符都是一个单独的列。假设fields是解析该行的结果，只需直接使用它即可。

import csv
import struct

fieldwidths = (-4, 24, -4, 40,-4,64,-1,1,25)  # negative widths represent ignored padding fields
fmtstring = ' '.join('{}{}'.format(abs(fw), 'x' if fw < 0 else 's')
                        for fw in fieldwidths)
fieldstruct = struct.Struct(fmtstring)
parse = fieldstruct.unpack_from

c = csv.writer(open("/home/ulrich/Desktop/disertation/sample_parsed_blch1.csv", "wb"))
fields = parse("    Sat Jan  3 18:15:05 2009    62e907b15cbf27d5425399ebf6f0fb50ebb88f18    4a5e1e4baab89f3a32518a88c31bc87f618f76673e2cc77ab2127b7afdeda33b +              50.00000000")

c.writerow(fields)

Python使用struct将分隔的文本文件固定为csv

1 个答案: