345   import matplotlib.pyplot as plt  namespace
354   SizeError = plt.loglog(*data)
355   plt.title(library+' ex'+str(num)+' Mesh Convergence')
356   plt.xlabel('Size')
357   plt.ylabel(r'Error $\|x - x^*\|_2$')
358   plt.legend(legends)
359   plt.show()
364   import matplotlib.pyplot as plt  namespace
371   TimeError = plt.loglog(*data)
372   plt.title(library+' ex'+str(num)+' Work Precision')
373   plt.xlabel('Time (s)')
374   plt.ylabel(r'Error $\|x - x^*\|_2$')
375   plt.legend(legends)
376   plt.show()
381   import matplotlib.pyplot as plt  namespace
388   TimeErrorPareto = plt.semilogy(*data)
389   plt.title(library+' ex'+str(num)+' Work Precision: Pareto Front')
390   plt.xlabel('Time (s)')
391   plt.ylabel(r'Error $\|x - x^*\|_2$')
392   plt.legend(legends)
393   plt.show()
398   import matplotlib.pyplot as plt  namespace
413       bars[arch].append(plt.bar(ind, times, width, color=color, bottom=bottom))
417   plt.xlabel('Number of Dof')
418   plt.ylabel('Time (s)')
419   plt.title('GPU vs. CPU Performance on '+library+' Example '+str(num))
420   plt.xticks(np.arange(N), map(str, sizes[arches[0]]))
423   plt.legend([bar[0] for bar in bars[arches[0]]], eventNames, 'upper right', shadow = True)
425   plt.show()