I'm trying to analyze thousands of different cancer datasets and run the
same python program on them. I use Windows XP, Python 2.7 and the IDLE
interpreter. I already have the input files in a directory and I want to
learn the syntax for the quickest way to execute the program over all these
data
On 9 June 2011 20:49, B G wrote:
> I'm trying to analyze thousands of different cancer datasets and run the
> same python program on them. I use Windows XP, Python 2.7 and the IDLE
> interpreter. I already have the input files in a directory and I want to
> learn the syntax for the quickest way
On 06/09/2011 03:49 PM, B G wrote:
> I'm trying to analyze thousands of different cancer datasets and run the
> same python program on them. I use Windows XP, Python 2.7 and the IDLE
> interpreter. I already have the input files in a directory and I want to
> learn the syntax for the quickest way
My advice would be to stay away from generic names, like:
for item in items:
do stuff with item
For a couple of lines its ok, but when programs get large, your program will
get confusing even to you as the author.
Sometimes, it's best just to do "for all in listx: but I think that's rare.
Us
hmm, thanks for the help. So I kinda got it working, although from an
efficiency perspective it leaves a lot to be desired.
I managed to do the following:
1) Create a script that gives me a list of all the filenames in the folder:
path = "...\\Leukemia_Project"
i = 0
for (files) in os.walk(path):
A few hints to make it more efficient:
2011/6/10 B G
> 1) Create a script that gives me a list of all the filenames in the folder:
> I managed to do the following:
> path = "...\\Leukemia_Project"
>
Use / in path instead of \\, it will work in all environments, not just
Windows. One of the adva
2011/6/10 B G
>
> path = "...\\Leukemia_Project"
> i = 0
> for (files) in os.walk(path):
> print(files)
> print("\n")
> i += 1
>
Continuing my thoughts:
I ran your loop, and got several tuples, each representing a directory. All
the tuples have the same structure: 0th element is the
>
> 3) Open the .txt file in Excel, remove the few lines I don't need (ie
> single quotes, etc)
Regarding Excel, you can write your output directly to an Excel file from
python using the Python-Excel module. Just install all three packages. I use
them all the time.
Here is something that I wrote
2011. június 10. 15:51 James Reynolds írta, :
>
> Regarding Excel, you can write your output directly to an Excel file from
> python using the Python-Excel module. Just install all three packages. I use
> them all the time.
>
>
> Do they work with Py3K?
Honestly no idea.
At work I use 2.6 / 2.7. At home it's 3.2 / 2.7.
I've never actually tried doing this at home, so I don't know.
They have a mail list though, I would post there to find out.
2011/6/10 Válas Péter
>
>
> 2011. június 10. 15:51 James Reynolds írta, :
>
>
>> Regarding Excel, you
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