Hi Your,
I work with genomic datasets as well and have recently only started working
with python (so my advice is a bit naive)
I would say although there may be different ways you can cast an integer or
float type into your list of lists you may actually no need to do so with your
starting file/list... ie:
if for example you want to do stuff with the location chrX with start
160944034 and end 160944035
you could:
for x in LoL:
startstring=LoL[1] #this would be '160944034'
startint=int(startstring) #this would be 160944034
now if you also use a counter you can iterate and do all sort of calculations
for different genomic locations.
I use the csv module and then append into a numpy array that takes type float,
so you could work with that as well,
cheers
Dr Triantafyllos Gkikopoulos
culpritNr1 ig2ar-s...@yahoo.co.uk 01/08/09 8:42 PM
Hi All,
Say I have this nice list of lists:
LoL = [['chrX', '160944034', '160944035', 'gnfX.145.788', '63.60'],
['chrX', '161109992', '161109993', 'rs13484104', '63.60'],
['chrX', '161414112', '161414113', 'rs13484105', '63.60'],
['chrX', '161544071', '161544072', 'rs13484106', '63.60'],
['chrX', '162030736', '162030737', 'gnfX.146.867', '67.05'],
['chrX', '164171913', '164171914', 'gnfX.148.995', '70.45']]
Now I want to cast the second and third columns from string to integer,
like this
LoL = [['chrX', 160944034, 160944035, 'gnfX.145.788', '63.60'],
['chrX', 161109992, 161109993, 'rs13484104', '63.60'],
['chrX', 161414112, 161414113, 'rs13484105', '63.60'],
['chrX', 161544071, 161544072, 'rs13484106', '63.60'],
['chrX', 162030736, 162030737, 'gnfX.146.867', '67.05'],
['chrX', 164171913, 164171914, 'gnfX.148.995', '70.45']]
Is there any elegant way to do this? I can't assume that all lines will have
the same number of elements.
Thank you,
Your Culprit
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