Index: doc/theses/colby_parsons_MMAth/benchmarks/actors/plotData.py
===================================================================
--- doc/theses/colby_parsons_MMAth/benchmarks/actors/plotData.py	(revision 80fc78f68b24b72b59e3d969ef8638cd17a1bbf9)
+++ doc/theses/colby_parsons_MMAth/benchmarks/actors/plotData.py	(revision d144c2637d83f22ae526a50bd0bfd7c561f6c92b)
@@ -166,4 +166,5 @@
                     for idx, arr in enumerate(data):
                         plt.errorbar( procs, arr, [bars[idx][0], bars[idx][1]], capsize=2, marker=next(marker) )
+                    marker = itertools.cycle(('o', 's', 'D', 'x', 'p', '^', 'h', '*', 'v' )) 
                     if currBench == Bench.Executor or currBench == Bench.Matrix or currBench == Bench.Balance_One or currBench == Bench.Repeat:
                         plt.yscale("log")
Index: doc/theses/colby_parsons_MMAth/benchmarks/channels/plotData.py
===================================================================
--- doc/theses/colby_parsons_MMAth/benchmarks/channels/plotData.py	(revision 80fc78f68b24b72b59e3d969ef8638cd17a1bbf9)
+++ doc/theses/colby_parsons_MMAth/benchmarks/channels/plotData.py	(revision d144c2637d83f22ae526a50bd0bfd7c561f6c92b)
@@ -130,5 +130,5 @@
                 for idx, arr in enumerate(data):
                     plt.errorbar( procs, arr, [bars[idx][0], bars[idx][1]], capsize=2, marker=next(marker) )
-                
+                marker = itertools.cycle(('o', 's', 'D', 'x', 'p', '^', 'h', '*', 'v' )) 
                 plt.yscale("log")
                 # plt.ylim(1, None)
Index: doc/theses/colby_parsons_MMAth/benchmarks/mutex_stmt/plotData.py
===================================================================
--- doc/theses/colby_parsons_MMAth/benchmarks/mutex_stmt/plotData.py	(revision 80fc78f68b24b72b59e3d969ef8638cd17a1bbf9)
+++ doc/theses/colby_parsons_MMAth/benchmarks/mutex_stmt/plotData.py	(revision d144c2637d83f22ae526a50bd0bfd7c561f6c92b)
@@ -103,4 +103,5 @@
                 for idx, arr in enumerate(data):
                     plt.errorbar( procs, arr, [bars[idx][0], bars[idx][1]], capsize=2, marker=next(marker) )
+                marker = itertools.cycle(('o', 's', 'D', 'x', 'p', '^', 'h', '*', 'v' )) 
                 plt.yscale("log")
                 plt.xticks(procs)