def plot():
# Initialize the style of histograms
color = list()
color.append('#3F51B5')
color.append('#EF6C00')
color.append('#009688')
color.append('#4CAF50')
color.append('#424242')
# Initialize the patterns of histograms
patterns = ["/", "o", "|", "*", "+", "x", "\\", "O", ".", "-"]
# declare the processor
dp = MultipleHisogram(datFile=root_dir + '/data/bandwidth_com_stddev.dat',
clusterSize=2,
yLimit=400,
legends=['1Gbps', '10Mbps'],
ylabel='bandwidth (MB)',
grid=True,
color=color,
fontFamily='normal',
fontWeight='normal',
fontSize=16,
stdDev=True,
patterns=patterns,
use_pattern=True)
dp.process()
dp.plot()
dp.show()
def plot():
# Initialize the style of histograms
color = list()
color.append('#3F51B5')
color.append('#EF6C00')
# color.append('#009688')
# color.append('#4CAF50')
# color.append('#424242')
# Initialize the patterns of histograms
patterns = ["/", ".", "|", "*", "+", "x", "o", ".", "-"]
# declare the processor
dp = MultipleHisogram(
datFile=root_dir + '/data/anticipation_bw.dat',
clusterSize=2,
yLimit=250,
legends=['1Gbps', '10Mbps'],
# ylabel = 'Bandwidth (MB)',
# xlabel = 'Scheduling algorithms',
grid=True,
color=color,
fontFamily='normal',
fontWeight='normal',
fontSize=22,
stdDev=False,
patterns=patterns,
use_pattern=True,
legend_loc="upper right")
dp.process()
dp.plot()
# plt.tick_params(axis='x', which='major', labelsize=18)
plt.get_current_fig_manager().resize(1200, 600)
# plt.tight_layout()
plt.gcf().subplots_adjust(bottom=0.2)
plt.xlabel('Correct hints', weight='bold')
plt.ylabel('Bandwidth consumption(MB)', weight='bold')
dp.show()
def plot():
# Initialize the style of histograms
color = list()
color.append('#3F51B5')
color.append('#EF6C00')
# color.append('#009688')
# color.append('#4CAF50')
# color.append('#424242')
# Initialize the patterns of histograms
patterns = ["/" , "." , "|" , "*" , "+" , "x", "o", ".", "-"]
# declare the processor
dp = MultipleHisogram(datFile = root_dir + '/data/cache_hit_cnt.dat',
clusterSize = 2,
yLimit = 140,
legends = ['1Gbps', '10Mbps'],
# ylabel = 'Bandwidth (MB)',
# xlabel = 'Scheduling algorithms',
grid = True,
color = color,
fontFamily = 'normal',
fontWeight = 'normal',
fontSize = 22,
stdDev = False,
patterns = patterns,
use_pattern = True,
legend_loc = "upper left"
)
dp.process()
dp.plot()
# plt.tick_params(axis='x', which='major', labelsize=18)
plt.get_current_fig_manager().resize(1200 , 600)
plt.xlabel('The number of targets', weight='bold')
plt.ylabel('Cache hit counts', weight='bold')
dp.show()