使用read_csv将字符串转换为pandas df [英] Convert string to pandas df using read_csv

问题描述

我正在尝试将以下字符串转换为Pandas数据框:

I'm trying to convert the following string to a Pandas dataframe:

'2477\t1974\t89.104.195.179\tDK\t17\t212711\x00\n1974\t2370\t212.10.164.160\tDK\t19\t213017\x00\n1974\t2370\t87.50.40.214\tDK\t17\t56743\x00\n'

我遇到的问题是，大熊猫将每个值转换为它自己的列，而不是所需的6列和3行.

The problem I'm encountering is that pandas converts each value to it's own column instead of 6 columns and 3 rows as desired.

pd.read_csv(StringIO(data), sep='\t', lineterminator='\n', names=['a','b','c','d','e','f'])

我尝试使用其他一些read_csv参数没有成功.我在做什么错了?

I've tried playing around with some of the other read_csv parameters with no success. What am I doing wrong?

推荐答案

通过指定原始 sep 和 lineterminator ，它可以正常工作:

By specifying raw sep and lineterminator, it works:

from StringIO import StringIO
import pandas as pd
data = '2477\t1974\t89.104.195.179\tDK\t17\t212711\x00\n1974\t2370\t212.10.164.160\tDK\t19\t213017\x00\n1974\t2370\t87.50.40.214\tDK\t17\t56743\x00\n'
df = pd.read_csv(StringIO(data), sep=r'\t', lineterminator=r'\n', names=['a','b','c','d','e','f'])

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