Question

I have two columns in a text file. I read them into Python into two separate lists. What I want to do is count the occurences of each pair and build association rules based on it.

Example:

colA = [a,b,c,d,...]

colB = [c,y,d,e,...]

I came only so far to read the data into the two lists but what is the best way to count the occurences and build the rules?

Code:

pred = []
succ = []
for line in open('arsample.txt'):
    lst = line.split('\t')
    pred.append(int(lst[0]))
    succ.append(int(lst[1]))

Rules would look like this and are sorted descending:

P   S   Probability
---------------------
a > c   count(a>c)/n
...     ...

Answer 1

Have a look on sets :

 http://docs.python.org/library/sets.html

They allow this :

>>> a = [1,2,2,5,4,5,4,2,1,3]
>>> set(a)
set([1, 2, 3, 4, 5])
>>>

So you will have to build the pairs in a list of strings, I guess…

Hope it can help.