On 23 May 2013 04:15, Carlos Nepomuceno carlosnepomuc...@outlook.com wrote:
The last line of my noob piece can be improved. So this is it:
Most of it can be improved.
filenames = ['1.txt', '2.txt', '3.txt', '4.txt', '5.txt']
contents = [[[int(z) for z in y.split(',')] for y in
On Thu, May 23, 2013 at 10:37 AM, Carlos Nepomuceno
carlosnepomuc...@outlook.com wrote:
From: oscar.j.benja...@gmail.com
Date: Thu, 23 May 2013 01:34:37 +0100
Subject: Re: file I/O and arithmetic calculation
To: carlosnepomuc...@outlook.com
CC: python
Dear all who involved with responding to my question - Thank you so much for
your nice code which really helped me.
--
http://mail.python.org/mailman/listinfo/python-list
On Thu, 23 May 2013 07:17:58 -0700, Keira Wilson wrote:
Dear all who involved with responding to my question - Thank you so much
for your nice code which really helped me.
Hold on a sec? Someone posted code that gave the correct answer to a
homework question?
--
Denis McMahon,
From: denismfmcma...@gmail.com
[...]
Dear all who involved with responding to my question - Thank you so much
for your nice code which really helped me.
Hold on a sec? Someone posted code that gave the correct answer to a
homework question?
--
not exactly for the homework, but as my starting point of learning
thank you so much.
--
http://mail.python.org/mailman/listinfo/python-list
Dear all,
I would appreciate if someone could write a simple python code for the
purpose below:
I have five text files each of 10 columns by 10 rows as follows:
file_one = 'C:/test/1.txt'
file_two = 'C:/test/2.txt' . . .
file_five = 'C:/test/5.txt'
I want to calculate the mean of first row
On 22/05/2013 17:13, Keira Wilson wrote:
Dear all,
I would appreciate if someone could write a simple python code for the
purpose below:
I have five text files each of 10 columns by 10 rows as follows:
|file_one= 'C:/test/1.txt'
file_two= 'C:/test/2.txt'
. . .
file_five=
Subject: file I/O and arithmetic calculation
To: python-list@python.org
Dear all,
I would appreciate if someone could write a simple python code for the
purpose below:
I have five text files each of 10 columns by 10 rows as follows:
file_one = 'C:/test/1.txt
On 22 May 2013 22:05, Carlos Nepomuceno carlosnepomuc...@outlook.com wrote:
filenames = ['1.txt', '2.txt', '3.txt', '4.txt', '5.txt']
contents = [[[int(z) for z in y.split(',')] for y in open(x).read().split()]
for x in filenames]
s1c = [sum([r[0] for r in f]) for f in contents]
a1r =
From: oscar.j.benja...@gmail.com
[...]
Do you find this code easy to read? I wouldn't write something like
this and I certainly wouldn't use it when explaining something to a
beginner.
Rather than repeated list comprehensions you should consider
# contents[3][4][5] : 6th column of 5th row of file '4.txt'
BTW, it should read
# contents[3][4][5] : 6th value of 5th row of file '4.txt'
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http://mail.python.org/mailman/listinfo/python-list
On Thu, 23 May 2013 01:13:19 +0900, Keira Wilson wrote:
I would appreciate if someone could write a simple python code for the
purpose below:
Didn't have your data, so couldn't verify it completely, but try this:
import re
def v(s):
l=len(s)
t=0.
for i in range(l):
From: denismfmcma...@gmail.com
[...]
import re
def v(s):
l=len(s)
t=0.
for i in range(l):
t=t+(abs(ord(s[i]))*1.)
return t/(l*1.)
for n in range(5):
m=c:/test/+str(n+1)+.txt
f=open(m,r)
d=[]
t=0.
for l in range(10):
On 23 May 2013 00:49, Carlos Nepomuceno carlosnepomuc...@outlook.com wrote:
The code is pretty obvious to me, I mean there's no obfuscation at all.
I honestly can't tell if you're joking.
--
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From: oscar.j.benja...@gmail.com
Date: Thu, 23 May 2013 01:34:37 +0100
Subject: Re: file I/O and arithmetic calculation
To: carlosnepomuc...@outlook.com
CC: python-list@python.org
On 23 May 2013 00:49, Carlos Nepomuceno carlosnepomuc...@outlook.com
The last line of my noob piece can be improved. So this is it:
### 1strow_average.py ###
#Assuming you have CSV (comma separated values) files such as:
#1.txt = '0,1,2,3,4,5,6,7,8,9\n' \
# '10,11,12,13,14,15,16,17,18,19\n' \
# '20,21,22,23,24,25,26,27,28,29\n' ...
#
# Usage:
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