Previously, any labeling was _technically_ possible, but tricky to get
right and usually required repeated renderings.
It evolved out of the way colors/formats were provided: a cycled
order-significant list that gets zipped with the datasets. This works
ok for somewhat arbitrary formatting, such as colors/formats, but falls
apart for labels, where it turns out to be somewhat important what
exactly you are labeling.
The new scheme makes the label's relationship explicit, at the cost of
being a bit more verbose:
$ ./scripts/plotmpl.py bench.csv -obench.svg \
-Linorder=0,4096,avg,bench_readed \
-Lreversed=1,4096,avg,bench_readed \
-Lrandom=2,4096,avg,bench_readed
This could also be adopted in the CSV manipulation scripts (code.py,
stack.py, summary.py, etc), but I don't think it would actually see that
much use. You can always awk the output to change names and it would add
more complexity to a set of scripts that are probably already way
over-designed.
Christopher Haster
c3d7cbfb09