读取文本文件并在Python中创建csv文件

Question

I want to read multiple text files and create one csv file. its like header line is common, read data from each file and create one line in csv.

input file is like.

readme_1006999-111418.html0000664077736200007070000001676613373210077014576

\--------------GENERAL INFO --------------------
CR ID #: 1006999-111418
Product Version: 10.1.10.1.5
Case ID #: 1012440-102118
\--------------Short description----
DS | Cleanup TEST| crashed on after run the admin command
\------ New/Modified files ------
Customer.cpp
input.cpp
output.cpp
\------ Affected executables and libraries ------
classes.jar
info.so
function.so
messageinfo.so

i want output like

GENERAL INFO,Short description,Affected executables and libraries
CR ID #: 1006999-111418 Product Version: 10.1.10.1.5 Case ID #: 1012440-102118, DS | Cleanup TEST| crashed on after run the admin command,Customer.cpp input.cpp output.cpp,classes.jar info.so function.so messageinfo.so

on next line i want three line under "GENERAL INFO" then comma, same for other headers.

i tried small code with help of google as i am new in python.

import csv
import os
import glob

#for filename in glob.glob(os.path.join('/bd_users/abpwrk1/OM/AM/Lab', '*.txt')):
with open('test.txt', 'r') as in_file:
    stripped = (line.strip() for line in in_file)
    lines = (line.split(",") for line in stripped if line)
    with open('output.csv', 'w') as out_file:
        writer = csv.writer(out_file)
        writer.writerow(('GENERAL INFO', 'Short description','New/Modified files','Affected executables and libraries','Affected executables and libraries','DETAILED INFO','Detailed Problem Description','Solution','Testing Instructions','ADDITIONAL IMPACT','Database Changes','Environment Notes','XPI/Topology Changes'))
       writer.writerows(lines)

can someone pls help to write the logic which will print all the lines under header(enclosed -------header----)in single cell.

Answer 1

Try something like that, hope this will help you

Parse a plain text file into a CSV file using Python

import csv
import itertools

with open('extracted.txt', 'r') as in_file:
    stripped = (line.strip() for line in in_file)
    lines = (line for line in stripped if line)
    grouped = itertools.izip(*[lines] * 3)
    with open('extracted.csv', 'w') as out_file:
        writer = csv.writer(out_file)
        writer.writerow(('title', 'intro', 'tagline'))
        writer.writerows(grouped)