Laurent Pointal wrote:
> Thomas Jollans a écrit :
>> On Friday 17 August 2007, Beema shafreen wrote:
>>> hi everybody,
>>> i have a file with data separated by tab
>>> mydata:
>>> fhl1 fkh2
> <zip>
>>> shows these two are separated by tab represented as columns
>>> i have to check the common data between these two coloumn1 an coloumn2
>>> my code:
>>> data = []
>>> data1 = []
>>> result = []
>>> fh = open('sheet1','r')
>>> for line in fh.readlines():
>>> splitted = line.strip().split('\t')
>>> data.append(splitted[0])
>>> data1.append(splitted[1])
>>> for k in data:
>>> if k in data1:
>>> result.append(k)
>>> print result
>>> fh.close()
>
> Use set data type for data and data1 (you fill them with an algo like th
> one you wrote - just use add() in place of appen()) then use set
> intersection to get common data.
>
> See doc for set data type:
> http://docs.python.org/lib/types-set.html
>
> Would look like (not tested):
> data = set()
> data1 = set()
> fh = open('sheet1','r')
> for line in fh.readlines():
> splitted = line.strip().split('\t')
> data.add(splitted[0])
> data1.add(splitted[1])
>
> result = data.intersection(data1)
lefts = set()
rights = set()
with open('sheet1', 'r') as fh:
for line in fh:
trimmed = line.strip()
if trimmed: # Skip blanks (file end often looks like that)
left, right = line.strip().split('\t')
lefts.add(left)
rights.add(right)
result = lefts & rights
-Scott
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