将结构化文本文件转换为csv（无法将行更改为列）：

Question

我正在尝试将文本文件转换为Python中的CSV 输入文本文件如下：

Employee Name: Dr.john doe
Designation: Professor
Email: johndoe@google.com
ContactNo: 1234567, 9999999
Qualification: M.Tech., Ph.D.
Area of Interest / Specialisation: network security
Employee Name: Dr. john doe2 
Designation: Professor2
Email: johndoe2@google.com
ContactNo: 222222222
Qualification: B.Tech., Ph.D.
Area of Interest / Specialisation: network security2
Employee Name: Dr. john doe3 
Designation: Associate Professor3
Email: johndoe3@google.com
ContactNo: 333333,4444444
Qualification: Ph.D.
Area of Interest / Specialisation: network security3
Designation: Associate Professor4
Email: johndoe4@google.com
ContactNo: 44444444 ,Intercom No.44444
Qualification: : M.Sc. 
Designation: Programmer
Email: johndoe5@google.com
ContactNo: 5555555555 ,Intercom No.5555
Qualification: Ph.D |Computer Science
Designation: Computer Operator
Email: johndoe6@google.com
ContactNo: 666666666
Qualification: D.C.Sc. & E.,
Designation: Computer Operator
Email: johndoe7@google.com
ContactNo: 777777777 ,Intercom No.77777<
Qualification: D.E & TC.,
Designation: Instructor4
Email: johndoe8@google.com
ContactNo: 8888888888 ,Intercom No.8888
Qualification: D.C.Sc. & E.,`

我需要以下格式的CSV文件

Employee name,designation,email,contact,Qualification,Specialisation       
Dr. john doe,Professor,johndoe@google.com,1234567,B.E.,network security     
Dr. john doe2,Professor,johndoe2@google.com,222222222,M.S.,network security2    
Dr. john doe3,Associate,Professor3,johndoe3@gmail.com,333333,M.Tech.,network security3

我试过了

with open('test.txt', 'r') as records:
    stripped = (line.strip() for line in records)
    lines = (line.split(":") for line in stripped if line)
    with open('log.csv', 'w') as out_file:
        writer = csv.writer(out_file)
        writer.writerows(lines)

我上面的代码给出了以下只有两行的输出（我不知道如何生成6列并在行中添加元组）：

Employee Name, Dr.john doe
Designation, Professor
Email, johndoe@google.com
ContactNo, 1234567, 9999999
Qualification, M.Tech., Ph.D.
Area of Interest / Specialisation, network security
Employee Name, Dr. john doe2 
Designation, Professor2
Email, johndoe2@google.com
ContactNo, 222222222
Qualification, B.Tech., Ph.D.
Area of Interest / Specialisation, network security2
Employee Name, Dr. john doe3 
Designation, Associate Professor3
Email, johndoe3@google.com
ContactNo, 333333,4444444
Qualification, Ph.D.
Area of Interest / Specialisation, network security3

简而言之：我可以将属性名和它的值分开，但是我不知道如何填充特定字段中的值。你知道吗

Answer 1

我认为这是可行的：

import csv, collections

with open('test.txt', 'r') as record_fields, open('log.csv', 'w') as out_file:
    records, fieldnames, record = [], collections.OrderedDict(), {}
    for field in record_fields:
        name, _, value = field.strip().partition(": ")
        if name == "Employee Name" and record:
            records.append(record)
            record = {}
        if name not in record: record[name] = value
        fieldnames[name] = None
    records.append(record)

    writer = csv.DictWriter(out_file, fieldnames=fieldnames.keys())
    writer.writeheader()
    writer.writerows(records)

它给了我：

Employee Name,Designation,Email,ContactNo,Qualification,Area of Interest / Specialisation
Dr.john doe,Professor,johndoe@google.com,"1234567, 9999999","M.Tech., Ph.D.",network security
Dr. john doe2,Professor2,johndoe2@google.com,222222222,"B.Tech., Ph.D.",network security2
Dr. john doe3,Associate Professor3,johndoe3@google.com,"333333,4444444",Ph.D.,network security3