Question

我正在尝试将我的一些处理工作从R转移到Python。在R中，我使用read.table（）来读取非常混乱的CSV文件，它会以正确的格式自动拆分记录。 E.g。

391788,"HP Deskjet 3050 scanner always seems to break","<p>I'm running a Windows 7 64 blah blah blah........ake this work permanently?</p>

<p>Update: It might have something to do with my computer. It seems to work much better on another computer, windows 7 laptop. Not sure exactly what the deal is, but I'm still looking into it...</p>
","windows-7 printer hp"

正确分为4列。 1条记录可以分成很多行，并且到处都有逗号。在R我只是做：

read.table(infile, header = FALSE, nrows=chunksize, sep=",", stringsAsFactors=FALSE)

Python中有什么能够同样做到这一点吗？

谢谢！

Answer 1

您可以使用csv模块。

from csv import reader
csv_reader = reader(open("C:/text.txt","r"), quotechar="\"")

for row in csv_reader:
    print row

['391788', 'HP Deskjet 3050 scanner always seems to break', "<p>I'm running a Windows 7 64 blah blah blah........ake this work permanently?</p>\n\n<p>Update: It might have something to do with my computer. It seems to work much better on another computer, windows 7 laptop. Not sure exactly what the deal is, but I'm still looking into it...</p>\n", 'windows-7 printer hp']

输出长度= 4

Answer 2

pandas模块还提供许多类似R的函数和数据结构，包括read_csv。这里的优点是数据将作为pandas DataFrame读入，这比标准的python列表或dict更容易管理（特别是如果你已经习惯了R）。这是一个例子：

>>> from pandas import read_csv
>>> ugly = read_csv("ugly.csv",header=None)
>>> ugly
        0                                              1  \
0  391788  HP Deskjet 3050 scanner always seems to break   

                                                   2                     3  
0  <p>I'm running a Windows 7 64 blah blah blah.....  windows-7 printer hp

R是Python中的read.table等价物

2 个答案: