There has got to be a better way of doing this: I'm reading in a file that has a lot of garbage, but eventually has something that looks similar to: (some lines of garbage) dip/dir. (some more lines of garbage) 55/158 (some more lines of garbage) 33/156 etc.
and I'm stripping out the 55/158 values (with error checking removed): ------ def read_data(filename): fh = open(filename, "r", encoding="ascii") for line in fh: for word in line.lower().split(): if "/" in word and "dip" not in word: temp = word.partition("/") dip.append(temp[0]) dir.append(temp[2]) ----- I can't figure out a nicer way of doing it without turning the thing into a nested list (non-ideal). I could put the entire tuple inside of a list, but that gets ugly with retrieval. I'm sure there is an easier way to store this. I was having trouble with dictionary's due to non-uniquie keys when I tried that route. Any ideas for a better way to store it? This ultimately parses a giant amount of data (ascii dxf's) and spits the information into a csv, and I find the writing of nested lists cumbersome and I'm sure I'm missing something as I'm quite new to Python. Thanks. -- http://mail.python.org/mailman/listinfo/python-list