转换txt到csv python脚本

Question

我有一个。txt文件，里面有这个- 2.9,Gardena CA

我要做的是使用python脚本将该文本转换为。csv(表):

import csv
import itertools
with open('log.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('log.csv', 'w') as out_file:
        writer = csv.writer(out_file)
        writer.writerow(('title', 'intro'))
        writer.writerows(grouped)

在log.csv文件中得到的输出是- title,intro,tagline

我希望log.csv文件显示的是:

title,intro
2.9,Gardena CA

Answer 1

你需要先把这一行分开。

import csv
with open('log.txt', 'r') as in_file:
    stripped = (line.strip() for line in in_file)
    lines = (line.split(",") for line in stripped if line)
    with open('log.csv', 'w') as out_file:
        writer = csv.writer(out_file)
        writer.writerow(('title', 'intro'))
        writer.writerows(lines)

Answer 2

import pandas as pd
df = pd.read_fwf('log.txt')
df.to_csv('log.csv')

Answer 3

我是这样做的:

 with open(txtfile, 'r') as infile, open(csvfile, 'w') as outfile:
        stripped = (line.strip() for line in infile)
        lines = (line.split(",") for line in stripped if line)
        writer = csv.writer(outfile)
        writer.writerows(lines)

希望有帮助!

Answer 4

我想这就是您需要的输出:

标题、简介、标语

2.9,嘉丁拿,CA

可以这样修改你的代码:

import csv
import itertools
with open('log.txt', 'r') as in_file:
    lines = in_file.read().splitlines()
    stripped = [line.replace(","," ").split() for line in lines]
    grouped = itertools.izip(*[stripped]*1)
    with open('log.csv', 'w') as out_file:
        writer = csv.writer(out_file)
        writer.writerow(('title', 'intro', 'tagline'))
        for group in grouped:
            writer.writerows(group)

Answer 5

在python版本3。X, intertools。

Python 3的函数代码是:

import csv
import zlib
with open('output.txt', 'r') as in_file:
    lines = in_file.read().splitlines()
    stripped = [line.replace(","," ").split() for line in lines]
    grouped = zip(*[stripped]*1)
    with open('teste.csv', 'w') as out_file:
        writer = csv.writer(out_file)
        writer.writerow(('A', 'B', 'C', 'D'))
        for group in grouped:
            writer.writerows(group)