1

I want to convert the first column of data from a text file into a list in python

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

provides

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

Any help, please.

2 Answers 2

7

You can use str.split and a list comprehension here:

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

If the numbers to be strings:

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

Simplified version:

>>> 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']

help and example on str.split:

>>> 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.
Sign up to request clarification or add additional context in comments.

1 Comment

@lisa I've added some explanation.
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']

1 Comment

I want to get the list of integers (not of strings)

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Start asking to get answers

Find the answer to your question by asking.

Ask question

Explore related questions

See similar questions with these tags.