将 txt 转换为 csv python 脚本

Question

我有一个 .txt 文件，里面有这个 - 2.9,Gardena CA

我想要做的是使用 python 脚本将该文本转换为 .csv（表格）：

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)

我在 log.csv 文件中得到的输出是 - 标题、介绍、标语

我希望 log.csv 文件显示的是：

title,intro
2.9,Gardena CA

Answer 1

您需要先拆分该行。

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

我认为这是您需要的输出：

标题、介绍、标语

2.9,加德纳,CA

可以通过对代码进行以下更改来完成：

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 4

这就是我的做法：

 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 5

在python 3.x 版本中，intertools.izip 没有运行。

Python 3 的功能代码是：

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)