In article <mailman.3540.1363742997.2939.python-l...@python.org>, Dave Angel <da...@davea.name> wrote:
> But you should switch to using the csv module. And unless you have data > that consists of millions of lines, you should just read the whole thing > in once, and then extract the various columns by simple list > manipulations and/or comprehensions. Another possibility is to use pandas (http://pandas.pydata.org/). It's a bit of effort to master the package, but it's got some neat stuff in it. Apropos to this thread, it has a very flexible read_csv() function. You can pass it, for example, skiprows=6, and it'll, well, skip the first 6 rows. -- http://mail.python.org/mailman/listinfo/python-list
