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plot_stats_2vm.py
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import numpy as np
import matplotlib.pyplot as plt
aimd_inrange_1 = [100.0, 100.0, 54.79, 100.0]
aimd_inrange_2 = [100.0, 95.18, 54.17, 98.11]
aimd_cpu_1 = [40.08, 39.5, 39.5, 41.6]
aimd_cpu_2 = [39.88, 45.01, 60.3, 58.26]
apid_tb_inrange_1 = [96.43, 81.13, 77.63, 89.61]
apid_tb_inrange_2 = [98.21, 95.0, 50.82, 94.44]
apid_tb_cpu_1 = [42.17, 40.26, 36.31, 41.28]
apid_tb_cpu_2 = [43.06, 48.62, 58.95, 59.58]
static_tb_inrange_1 = [100.0, 100.0, 2.9, 0.0]
static_tb_inrange_2 = [100.0, 2.74, 0.0, 100.0]
static_tb_cpu_1 = [50.0, 50.0, 50.0, 50.0]
static_tb_cpu_2 = [50.0, 50.0, 50.0, 50.0]
s='STATIC'
for i in static_inrange_1:
s+=('& '+str(i)+'\\% ')
print(s+ ' \\\\ \\hline')
s='AIMD'
for i in aimd_inrange_1:
s+=('& '+str(i)+'\\% ')
print(s+ ' \\\\ \\hline')
s='APID'
for i in apid_inrange_1:
s+=('& '+str(i)+'\\% ')
print(s+ ' \\\\ \\hline')
print('')
s='STATIC'
for i in static_inrange_2:
s+=('& '+str(i)+'\\% ')
print(s+ ' \\\\ \\hline')
s='AIMD'
for i in aimd_inrange_2:
s+=('& '+str(i)+'\\% ')
print(s+ ' \\\\ \\hline')
s='APID'
for i in apid_inrange_2:
s+=('& '+str(i)+'\\% ')
print(s+ ' \\\\ \\hline')
exit(0)
ind = np.arange(4) # the x locations for the groups
width = 0.1 # the width of the bars
patterns = ('*', '+', 'x', '\\', '*', 'o', 'O', '.')
vm1withvm2=0
if vm1withvm2:
fig, ax = plt.subplots()
rects1 = ax.bar(ind - width*3.5, rtds_aimd_inrange_1, width*.8,color='b', label='AIMD_vm1',hatch='//')
rects2 = ax.bar(ind - width*2.5, rtds_aimd_inrange_2, width*.8,color='g', label='AIMD_vm2',hatch='O')
rects3 = ax.bar(ind - width*1.5, rtds_aimd_inrange_1, width*.8,color='dodgerblue', label='AIMD_vm1',hatch='x')
rects4 = ax.bar(ind - width*0.5, rtds_aimd_inrange_2, width*.8, color='limegreen', label='AIMD_vm2',hatch='*')
rects5 = ax.bar(ind + width*0.5, rtds_apid_p95_inrange_1, width*.8,color='skyblue', label='APID_vm1',hatch='//')
rects6 = ax.bar(ind + width*1.5, rtds_apid_p95_inrange_2, width*.8,color='palegreen', label='APID_vm2',hatch='O')
rects7 = ax.bar(ind + width*2.5, rtds_static_inrange_1, width*.8,color='darkgrey', label='STATIC_vm1',hatch='x')
rects8 = ax.bar(ind + width*3.5, rtds_static_inrange_2, width*.8, color='lightgrey', label='STATIC_vm2',hatch='*')
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Percantage of FPS greater than 10')
# ax.set_title('Scores by group and gender')
ax.set_xticks(ind)
ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
ax.legend()
fig, ax = plt.subplots()
rects1 = ax.bar(ind - width*3.5, credit_aimd_inrange_1, width*.8,color='b', label='AIMD_vm1',hatch='//')
rects2 = ax.bar(ind - width*2.5, credit_aimd_inrange_2, width*.8,color='g', label='AIMD_vm2',hatch='O')
rects3 = ax.bar(ind - width*1.5, credit_aimd_inrange_1, width*.8,color='dodgerblue', label='AIMD_vm1',hatch='x')
rects4 = ax.bar(ind - width*0.5, credit_aimd_inrange_2, width*.8, color='limegreen', label='AIMD_vm2',hatch='*')
rects5 = ax.bar(ind + width*0.5, credit_apid_p95_inrange_1, width*.8,color='skyblue', label='APID_vm1',hatch='//')
rects6 = ax.bar(ind + width*1.5, credit_apid_p95_inrange_2, width*.8,color='palegreen', label='APID_vm2',hatch='O')
rects7 = ax.bar(ind + width*2.5, credit_static_inrange_1, width*.8,color='darkgrey', label='STATIC_vm1',hatch='x')
rects8 = ax.bar(ind + width*3.5, credit_static_inrange_2, width*.8, color='lightgrey', label='STATIC_vm2',hatch='*')
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Percantage of FPS greater than 10')
# ax.set_title('Scores by group and gender')
ax.set_xticks(ind)
ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
ax.legend()
fig, ax = plt.subplots()
rects1 = ax.bar(ind - width*3.5, rtds_aimd_cpu_1, width*.8,color='b', label='AIMD_vm1',hatch='//')
rects2 = ax.bar(ind - width*2.5, rtds_aimd_cpu_2, width*.8,color='g', label='AIMD_vm2',hatch='O')
rects3 = ax.bar(ind - width*1.5, rtds_aimd_cpu_1, width*.8,color='dodgerblue', label='AIMD_vm1',hatch='x')
rects4 = ax.bar(ind - width*0.5, rtds_aimd_cpu_2, width*.8, color='limegreen', label='AIMD_vm2',hatch='*')
rects5 = ax.bar(ind + width*0.5, rtds_apid_p95_cpu_1, width*.8,color='skyblue', label='APID_vm1',hatch='//')
rects6 = ax.bar(ind + width*1.5, rtds_apid_p95_cpu_2, width*.8,color='palegreen', label='APID_vm2',hatch='O')
rects7 = ax.bar(ind + width*2.5, rtds_static_cpu_1, width*.8,color='darkgrey', label='STATIC_vm1',hatch='x')
rects8 = ax.bar(ind + width*3.5, rtds_static_cpu_2, width*.8, color='lightgrey', label='STATIC_vm2',hatch='*')
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('CPU Utilization Rate Savings(%)')
# ax.set_title('Scores by group and gender')
ax.set_xticks(ind)
ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
ax.legend()
fig, ax = plt.subplots()
rects1 = ax.bar(ind - width*3.5, credit_aimd_cpu_1, width*.8,color='b', label='AIMD_vm1',hatch='//')
rects2 = ax.bar(ind - width*2.5, credit_aimd_cpu_2, width*.8,color='g', label='AIMD_vm2',hatch='O')
rects3 = ax.bar(ind - width*1.5, credit_aimd_cpu_1, width*.8,color='dodgerblue', label='AIMD_vm1',hatch='x')
rects4 = ax.bar(ind - width*0.5, credit_aimd_cpu_2, width*.8, color='limegreen', label='AIMD_vm2',hatch='*')
rects5 = ax.bar(ind + width*0.5, credit_apid_p95_cpu_1, width*.8,color='skyblue', label='APID_vm1',hatch='//')
rects6 = ax.bar(ind + width*1.5, credit_apid_p95_cpu_2, width*.8,color='palegreen', label='APID_vm2',hatch='O')
rects7 = ax.bar(ind + width*2.5, credit_static_cpu_1, width*.8,color='darkgrey', label='STATIC_vm1',hatch='x')
rects8 = ax.bar(ind + width*3.5, credit_static_cpu_2, width*.8, color='lightgrey', label='STATIC_vm2',hatch='*')
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('CPU Utilization Rate Savings(%)')
# ax.set_title('Scores by group and gender')
ax.set_xticks(ind)
ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
ax.legend()
else:
ind = np.arange(4) # the x locations for the groups
width = 0.2 # the width of the bars
patterns = ('*', '+', 'x', '\\', '*', 'o', 'O', '.')
fig, ax = plt.subplots()
rects2 = ax.bar(ind - width*1, aimd_inrange_1, width*.8,color='dodgerblue', label='AIMD_VM1',hatch='O')
rects3 = ax.bar(ind + width*0, apid_inrange_1, width*.8,color='dodgerblue', label='APID_VM1',hatch='//')
rects4 = ax.bar(ind + width*1, static_inrange_1, width*.8, color='darkgrey', label='STATIC_VM1',hatch='*')
line = ax.plot([ind[0] - width*1.5,ind[-1] + width*1.5],[100,100],'k')
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Percantage of FPS greater than 10')
# ax.set_title('Scores by group and gender')
ax.set_xticks(ind)
ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, 1.15),ncol=4, fancybox=True, shadow=False,fontsize=11)
fig, ax = plt.subplots()
rects2 = ax.bar(ind - width*1, aimd_inrange_2, width*.8,color='skyblue', label='AIMD_VM2',hatch='O')
rects3 = ax.bar(ind + width*0, apid_inrange_2, width*.8,color='skyblue', label='APID_VM2',hatch='//')
rects4 = ax.bar(ind + width*1, static_inrange_2, width*.8, color='lightgrey', label='STATIC_VM2',hatch='*')
line = ax.plot([ind[0] - width*1.5,ind[-1] + width*1.5],[100,100],'k')
# Add some text for labels, title and custom x-axis tick labels, etc.
ax.set_ylabel('Percantage of FPS greater than 10')
# ax.set_title('Scores by group and gender')
ax.set_xticks(ind)
ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, 1.15),ncol=4, fancybox=True, shadow=False,fontsize=11)
# fig, ax = plt.subplots()
# rects1 = ax.bar(ind - width*1.5, credit_aimd_inrange_1, width*.8,color='g', label='AIMD_value_VM1',hatch='//')
# rects2 = ax.bar(ind - width*0.5, credit_aimd_inrange_1, width*.8,color='limegreen', label='AIMD_VM1',hatch='O')
# rects3 = ax.bar(ind + width*0.5, credit_apid_p95_inrange_1, width*.8,color='palegreen', label='APID_VM1',hatch='x')
# rects4 = ax.bar(ind + width*1.5, credit_static_inrange_1, width*.8, color='darkgrey', label='STATIC_VM1',hatch='*')
# # Add some text for labels, title and custom x-axis tick labels, etc.
# ax.set_ylabel('Percantage of FPS greater than 10')
# # ax.set_title('Scores by group and gender')
# ax.set_xticks(ind)
# ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
# ax.legend()
# fig, ax = plt.subplots()
# rects1 = ax.bar(ind - width*1.5, credit_aimd_inrange_2, width*.8,color='g', label='AIMD_value_VM2',hatch='\\\\')
# rects2 = ax.bar(ind - width*0.5, credit_aimd_inrange_2, width*.8,color='limegreen', label='AIMD_VM2',hatch='o')
# rects3 = ax.bar(ind + width*0.5, credit_apid_p95_inrange_2, width*.8,color='palegreen', label='APID_VM2',hatch='-')
# rects4 = ax.bar(ind + width*1.5, credit_static_inrange_2, width*.8, color='darkgrey', label='STATIC_VM2',hatch='.')
# # Add some text for labels, title and custom x-axis tick labels, etc.
# ax.set_ylabel('Percantage of FPS greater than 10')
# # ax.set_title('Scores by group and gender')
# ax.set_xticks(ind)
# ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
# ax.legend()
# # fig, ax = plt.subplots()
# # rects1 = ax.bar(ind - width*1.5, rtds_aimd_cpu_1, width*.8,color='b', label='AIMD',hatch='//')
# # rects2 = ax.bar(ind - width*0.5, rtds_aimd_cpu_1, width*.8,color='dodgerblue', label='AIMD',hatch='O')
# # rects3 = ax.bar(ind + width*0.5, rtds_apid_p95_cpu_1, width*.8,color='skyblue', label='APID',hatch='x')
# # rects4 = ax.bar(ind + width*1.5, rtds_static_cpu_1, width*.8, color='darkgrey', label='STATIC',hatch='*')
# # # Add some text for labels, title and custom x-axis tick labels, etc.
# # ax.set_ylabel('CPU Utilization Rate Savings(%)')
# # # ax.set_title('Scores by group and gender')
# # ax.set_xticks(ind)
# # ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
# # ax.legend()
# # fig, ax = plt.subplots()
# # rects1 = ax.bar(ind - width*1.5, rtds_aimd_cpu_2, width*.8,color='b', label='AIMD',hatch='//')
# # rects2 = ax.bar(ind - width*0.5, rtds_aimd_cpu_2, width*.8,color='dodgerblue', label='AIMD',hatch='O')
# # rects3 = ax.bar(ind + width*0.5, rtds_apid_p95_cpu_2, width*.8,color='skyblue', label='APID',hatch='x')
# # rects4 = ax.bar(ind + width*1.5, rtds_static_cpu_2, width*.8, color='darkgrey', label='STATIC',hatch='*')
# # # Add some text for labels, title and custom x-axis tick labels, etc.
# # ax.set_ylabel('CPU Utilization Rate Savings(%)')
# # # ax.set_title('Scores by group and gender')
# # ax.set_xticks(ind)
# # ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
# # ax.legend()
# fig, ax = plt.subplots()
# rects1 = ax.bar(ind - width*1.5, rtds_aimd_cpu_1, width*.8,color='purple', label='AIMD_value_VM1',hatch='//',bottom=rtds_aimd_cpu_2)
# rects1 = ax.bar(ind - width*1.5, rtds_aimd_cpu_2, width*.8,color='b', label='AIMD_value_VM2',hatch='\\\\')
# rects2 = ax.bar(ind - width*0.5, rtds_aimd_cpu_1, width*.8,color='pink', label='AIMD_VM1',hatch='O',bottom=rtds_aimd_cpu_2)
# rects2 = ax.bar(ind - width*0.5, rtds_aimd_cpu_2, width*.8,color='dodgerblue', label='AIMD_VM2',hatch='o')
# rects3 = ax.bar(ind + width*0.5, rtds_apid_p95_cpu_1, width*.8,color='hotpink', label='APID_VM1',hatch='x',bottom=rtds_apid_p95_cpu_2)
# rects3 = ax.bar(ind + width*0.5, rtds_apid_p95_cpu_2, width*.8,color='skyblue', label='APID_VM2',hatch='-')
# rects4 = ax.bar(ind + width*1.5, rtds_static_cpu_1, width*.8, color='dimgrey', label='STATIC_VM1',hatch='*',bottom=rtds_static_cpu_2)
# rects4 = ax.bar(ind + width*1.5, rtds_static_cpu_2, width*.8, color='lightgrey', label='STATIC_VM2',hatch='.')
# line = ax.plot([ind[0] - width*2,ind[-1] + width*2],[100,100],'k')
# # Add some text for labels, title and custom x-axis tick labels, etc.
# ax.set_ylabel('Average CPU Utilization Rate(%)')
# # ax.set_title('Scores by group and gender')
# ax.set_xticks(ind)
# ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
# ax.legend(loc='upper center', bbox_to_anchor=(0.5, 1.15),ncol=4, fancybox=True, shadow=False,fontsize=9)
# fig, ax = plt.subplots()
# rects1 = ax.bar(ind - width*1.5, credit_aimd_cpu_1, width*.8,color='purple', label='AIMD_value_VM1',hatch='//',bottom=credit_aimd_cpu_2)
# rects1 = ax.bar(ind - width*1.5, credit_aimd_cpu_2, width*.8,color='g', label='AIMD_value_VM2',hatch='\\\\')
# rects2 = ax.bar(ind - width*0.5, credit_aimd_cpu_1, width*.8,color='pink', label='AIMD_VM1',hatch='O',bottom=credit_aimd_cpu_2)
# rects2 = ax.bar(ind - width*0.5, credit_aimd_cpu_2, width*.8,color='limegreen', label='AIMD_VM2',hatch='o')
# rects3 = ax.bar(ind + width*0.5, credit_apid_p95_cpu_1, width*.8,color='hotpink', label='APID_VM1',hatch='x',bottom=credit_apid_p95_cpu_2)
# rects3 = ax.bar(ind + width*0.5, credit_apid_p95_cpu_2, width*.8,color='palegreen', label='APID_VM2',hatch='-')
# rects4 = ax.bar(ind + width*1.5, credit_static_cpu_1, width*.8, color='dimgrey', label='STATIC_VM1',hatch='*',bottom=credit_static_cpu_2)
# rects4 = ax.bar(ind + width*1.5, credit_static_cpu_2, width*.8, color='lightgrey', label='STATIC_VM2',hatch='.')
# line = ax.plot([ind[0] - width*2,ind[-1] + width*2],[100,100],'k')
# # Add some text for labels, title and custom x-axis tick labels, etc.
# ax.set_ylabel('Average CPU Utilization Rate(%)')
# # ax.set_title('Scores by group and gender')
# ax.set_xticks(ind)
# ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
# ax.legend(loc='upper center', bbox_to_anchor=(0.5, 1.15),ncol=4, fancybox=True, shadow=False,fontsize=9)
#MSE
# ind = np.arange(len(credit_aimd_inrange_1)) # the x locations for the groups
# width = 0.2 # the width of the bars
# patterns = ('*', '+', 'x', '\\', '*', 'o', 'O', '.')
# fig, ax = plt.subplots()
# rects1 = ax.bar(ind - width*1.5, rtds_aimd_mse_1, width*.8,color='b', label='AIMD_value_VM1',hatch='//')
# rects2 = ax.bar(ind - width*0.5, rtds_aimd_mse_1, width*.8,color='dodgerblue', label='AIMD_VM1',hatch='O')
# rects3 = ax.bar(ind + width*0.5, rtds_apid_p95_mse_1, width*.8,color='skyblue', label='APID_VM1',hatch='x')
# rects4 = ax.bar(ind + width*1.5, rtds_static_mse_1, width*.8, color='darkgrey', label='STATIC_VM1',hatch='*')
# # Add some text for labels, title and custom x-axis tick labels, etc.
# ax.set_ylabel("Mean Square Error (FPS^2)")
# # ax.set_title('Scores by group and gender')
# ax.set_xticks(ind)
# ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
# ax.legend()
# fig, ax = plt.subplots()
# rects1 = ax.bar(ind - width*1.5, rtds_aimd_mse_2, width*.8,color='b', label='AIMD_value_VM2',hatch='\\\\')
# rects2 = ax.bar(ind - width*0.5, rtds_aimd_mse_2, width*.8,color='dodgerblue', label='AIMD_VM2',hatch='o')
# rects3 = ax.bar(ind + width*0.5, rtds_apid_p95_mse_2, width*.8,color='skyblue', label='APID_VM2',hatch='-')
# rects4 = ax.bar(ind + width*1.5, rtds_static_mse_2, width*.8, color='darkgrey', label='STATIC_VM2',hatch='.')
# # Add some text for labels, title and custom x-axis tick labels, etc.
# ax.set_ylabel("Mean Square Error (FPS^2)")
# # ax.set_title('Scores by group and gender')
# ax.set_xticks(ind)
# ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
# ax.legend()
# fig, ax = plt.subplots()
# rects1 = ax.bar(ind - width*1.5, credit_aimd_mse_1, width*.8,color='g', label='AIMD_value_VM1',hatch='//')
# rects2 = ax.bar(ind - width*0.5, credit_aimd_mse_1, width*.8,color='limegreen', label='AIMD_VM1',hatch='O')
# rects3 = ax.bar(ind + width*0.5, credit_apid_p95_mse_1, width*.8,color='palegreen', label='APID_VM1',hatch='x')
# rects4 = ax.bar(ind + width*1.5, credit_static_mse_1, width*.8, color='darkgrey', label='STATIC_VM1',hatch='*')
# # Add some text for labels, title and custom x-axis tick labels, etc.
# ax.set_ylabel("Mean Square Error (FPS^2)")
# # ax.set_title('Scores by group and gender')
# ax.set_xticks(ind)
# ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
# ax.legend()
# fig, ax = plt.subplots()
# rects1 = ax.bar(ind - width*1.5, credit_aimd_mse_2, width*.8,color='g', label='AIMD_value_VM2',hatch='\\\\')
# rects2 = ax.bar(ind - width*0.5, credit_aimd_mse_2, width*.8,color='limegreen', label='AIMD_VM2',hatch='o')
# rects3 = ax.bar(ind + width*0.5, credit_apid_p95_mse_2, width*.8,color='palegreen', label='APID_VM2',hatch='-')
# rects4 = ax.bar(ind + width*1.5, credit_static_mse_2, width*.8, color='darkgrey', label='STATIC_VM2',hatch='.')
# # Add some text for labels, title and custom x-axis tick labels, etc.
# ax.set_ylabel("Mean Square Error (FPS^2)")
# # ax.set_title('Scores by group and gender')
# ax.set_xticks(ind)
# ax.set_xticklabels(('Region 1\nVM1:Medium\nVM2:Medium', 'Region 2\nVM1:Medium\nVM2:Heavy', 'Region 3\nVM1:Heavy\nVM2:Heavy','Region 4\nVM1:Heavy\nVM2:Medium'),fontsize=9)
# ax.legend()
plt.show()