Manuel Rincon <[email protected]> writes:
[...]
> Type=0 MarketTime=11:18:26.549 Price=112.8300
> Type=0 MarketTime=11:18:28.792 Price=112.8300
[...]
>
> I would need to filter only the numeric part of all the columns.
I assume that by "numeric" you mean the value after Price=
line.split()[2].split('=')[1]
line.rsplit('=',1)[1]
line.rpartition('=')[2]
line[line.rfind('=')+1:]
I prefer the last one. You can also use regexps, but it would be
overkill if your lines are that simple.
If your lines are really that simple, use line[39:] (check that 39 is
correct). Your data look like fixed-width fields.
-- Alain.
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