Thanks bear - Some outside advice has me looking at nested dictionaries. But I am still bogged down because I've not created one before and all examples I can find are simple ones where they are created manually, not with loops. Maybe a further example:
data: POS1 POS2 POS3 ['word1','tagA','tagB'] ['word2','tagC','tagD'] ['word1','tagE','tagB'] ['word1','tagC','tagF'] ... and so on. FWIW: I am guaranteed that the set of tags that may occur in position2 is complementary to the set of tags that may occur in position3. Now I want to get an accounting of all the tags that occurred in position3 in the context of, say, word1. Here I've shown that for word1, tagB and tagF occurs. I want a way to access all this information such that nested_dict['word1']['tagB'] = 2, and nested_dict ['word1']['tagF'] = 1. As I mentioned, I already have dicts such that dictA['word1'] = 3, and dictB['tagB'] = 2. I used defaultdict to build those, and that seems to be causing me to get some funky values back from my initial attempts to build a nested dictionary. I am stumbling at constructing a "for" loop that automatically creates such nested dictionaries. I hope that clears things up. If you still have any advice, it's much appreciated. Thanks, Brandon -- http://mail.python.org/mailman/listinfo/python-list
