将第一列数据从文本文件转换为python中的列表

时间:2013-06-11 08:20:38

标签: python

我想将文本文件中的第一列数据转换为python中的列表

data = open ('data.txt', 'r')
data.read()

提供

'12 45\n13 46\n14 47\n15 48\n16 49\n17 50\n18 51'

请帮助。

2 个答案:

答案 0 :(得分:6)

您可以在此处使用str.splitlist comprehension

with open('data.txt') as f:
   lis = [int(line.split()[0]) for line in f]
>>> lis
[12, 13, 14, 15, 16, 17, 18]

如果数字是字符串:

>>> with open('abc') as f:
       lis = [line.split()[0] for line in f]
>>> lis
['12', '13', '14', '15', '16', '17', '18']

简化版:

>>> with open('abc') as f:     #Always use with statement for handling files
...     lis = []
...     for line in f:         # for loop on file object returns one line at a time
...         spl = line.split() # split the line at whitespaces, str.split returns a list
...         lis.append(spl[0]) # append the first item to the output list, use int() get an integer
...     print lis    
...     
['12', '13', '14', '15', '16', '17', '18']

str.split上的帮助和示例:

>>> strs = "a b c d ef gh i"
>>> strs.split() 
['a', 'b', 'c', 'd', 'ef', 'gh', 'i']
>>> print str.split.__doc__
S.split([sep [,maxsplit]]) -> list of strings

Return a list of the words in the string S, using sep as the
delimiter string.  If maxsplit is given, at most maxsplit
splits are done. If sep is not specified or is None, any
whitespace string is a separator and empty strings are removed
from the result.

答案 1 :(得分:2)

import csv
with open ('data.txt', 'rb') as f:
    print [row[0] for row in csv.reader(f, delimiter=' ')]

['12', '13', '14', '15', '16', '17', '18']