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r80fc78f	r60f4919
166	166	for idx, arr in enumerate(data):
167	167	plt.errorbar( procs, arr, [bars[idx][0], bars[idx][1]], capsize=2, marker=next(marker) )
	168	marker = itertools.cycle(('o', 's', 'D', 'x', 'p', '^', 'h', '*', 'v' ))
168	169	if currBench == Bench.Executor or currBench == Bench.Matrix or currBench == Bench.Balance_One or currBench == Bench.Repeat:
169	170	plt.yscale("log")

doc/theses/colby_parsons_MMAth/benchmarks/channels/plotData.py

r80fc78f	r60f4919
130	130	for idx, arr in enumerate(data):
131	131	plt.errorbar( procs, arr, [bars[idx][0], bars[idx][1]], capsize=2, marker=next(marker) )
132
	132	marker = itertools.cycle(('o', 's', 'D', 'x', 'p', '^', 'h', '*', 'v' ))
133	133	plt.yscale("log")
134	134	# plt.ylim(1, None)

r80fc78f	r60f4919
103	103	for idx, arr in enumerate(data):
104	104	plt.errorbar( procs, arr, [bars[idx][0], bars[idx][1]], capsize=2, marker=next(marker) )
	105	marker = itertools.cycle(('o', 's', 'D', 'x', 'p', '^', 'h', '*', 'v' ))
105	106	plt.yscale("log")
106	107	plt.xticks(procs)

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