RandomAttack/plot.py at master · whybfq/RandomAttack · GitHub

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importtime
importnumpyasnp
fromnumpyimportrandom
importmatplotlib.pyplotasplt

Nodes=np.arange(2, 15) # 13 nodes
# print(Nodes)

Times=np.array([ 28800.00003
 , 28800
 , 28800.00002
 , 28800
 , 28800.00002
 , 28800.00004
 , 28800.00823
 , 28800.00003
 , 28800.00001
 , 28800
 , 28800
 , 28800.00004
 , 28800.00002 ])

Loss=np.array([ 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14 ])

Iterations= [ 482277173
 , 477629785
 , 433702694
 , 424399900
 , 425888105
 , 428059217
 , 1031846801
 , 1037774429
 , 1024399360
 , 1033585786
 , 1043560696
 , 1042331850
 , 1017113489 ]

# plt.xlabel('Nodes')
# plt.ylabel('Error')
# plt.title('Error versus nodes')
# plt.ylim(1, 16)
# for a, b in zip(Nodes, Loss):
# plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=7)
# plt.bar(Nodes, Loss, width=0.35, align='edge', color='c', alpha=0.8)
# plt.savefig("2-14Errors.eps", format="eps", dpi=1200)
# plt.show()
#
#
# plt.xlabel('Nodes')
# plt.ylabel('Crack Time (seconds)')
# plt.title('Crack time (Decryption Time: 1.232 seconds)')
# # plt.plot(Nodes, Times)
# for a, b in zip(Nodes, Times):
# plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=7)
# plt.bar(Nodes, Times, width=0.35, align='edge', color='c', alpha=0.8)
# plt.plot(Nodes, [ 1.232 ] * len(Nodes), 'r', c='g', linewidth=4)
# # plt.ylim(1.232, 30000)
# plt.savefig("2-14CrackTime.eps", format="eps", dpi=1200)
# plt.show()
#
#
# plt.xlabel('Nodes')
# plt.ylabel('Iterations')
# plt.title('Iterations versus different output nodes')
# plt.plot(Nodes, Iterations)
# # for a, b in zip(Nodes, Iterations):
# # plt.text(a, b + 0.05, '%.0f' % b, ha='center', va='bottom', fontsize=7)
# # plt.bar(Nodes, Iterations, width=0.15, align='center', color='c', alpha=0.8)
# plt.savefig("2-14Iterations.eps", format="eps", dpi=1200)
# plt.show()


# plt 2
pictures= [ 'Error versus nodes', 'Crack time (Decryption Time: 1.232 seconds)',
'Iterations versus nodes' ]
fig=plt.figure(num=None, figsize=(26, 12), dpi=80, facecolor='w', edgecolor='k')

fig, ax_lst=plt.subplots(1, 3, figsize=(18, 5))
fori, str_inenumerate(pictures):
ax_lst[ i ].title.set_text(str_)

ax_lst[ 0 ].plot(Nodes, Loss)
ax_lst[ 0 ].set_xlabel('nodes')
ax_lst[ 0 ].set_ylabel('Error')
# ax_lst[ 0 ].title('Error versus nodes')
# plt.ylim(0, 16)
fora, binzip(Nodes, Loss):
ax_lst[ 0 ].text(a, b+0.05, '%.0f'%b, ha='center', va='bottom', fontsize=7)
ax_lst[ 0 ].bar(Nodes, Loss, width=0.35, align='center', color='c', alpha=0.8)


ax_lst[ 1 ].plot(Nodes, Times)
ax_lst[ 1 ].set_xlabel('Nodes')
ax_lst[ 1 ].set_ylabel('Time (seconds)')
fora, binzip(Nodes, Times):
ax_lst[ 1 ].text(a, b+0.05, '%.0f'%b, ha='center', va='bottom', fontsize=7)
ax_lst[ 1 ].bar(Nodes, Times, width=0.35, align='center', color='c', alpha=0.8)
ax_lst[ 1 ].plot(Nodes, [ 1.232 ] *len(Nodes), 'r', c='g', linewidth=4)
# plt.ylim(1.232, 30000)

ax_lst[ 2 ].plot(Nodes, Iterations)
ax_lst[ 2 ].set_xlabel('Nodes')
ax_lst[ 2 ].set_ylabel('Iterations')

# for a, b in zip(Nodes, Iterations):
# ax_lst[ 2 ].text(a, b + 0.5, '%.1f' % b, ha='right', va='bottom', fontsize=7)
# ax_lst[ 2 ].bar(Nodes, Iterations, width=0.15, align='center', color='c', alpha=0.8)
ax_lst[ 2 ].plot(Nodes, Iterations)
plt.savefig("2-14Result.eps", rasterized=True, format="eps", dpi=1200)
plt.show()

# from io import BytesIO
# f = BytesIO()
# plt.savefig(f, format="svg")