Stripping non-numbers from a file parse without nested lists?

daku9999 at daku9999 at
Tue Mar 31 07:51:33 CEST 2009

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)
(some more lines of garbage)
(some more lines of garbage)

and I'm stripping out the 55/158 values (with error checking
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("/")

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.


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