def main(argv):
oax = p.plt.gca()
oax2 = p.plt.twinx(oax)
lsarg = []
lsarg.append(
{
"func": ["-fc"],
"files": [
"simdata/svcsimn_10k_10k_d2_a1_i10_avg1_8.json",
"simdata/expsvcsimn_10k_10k_d2_a1_i10_avg1_8.json",
"simdata/randsvcsimn_10k_10k_d2_a1_i10_avg1_8.json",
"simdata/svcsimn_10k_10k_d3_a1_i10_avg1_8.json",
"simdata/expsvcsimn_10k_10k_d3_a1_i10_avg1_8.json",
"simdata/randsvcsimn_10k_10k_d3_a1_i10_avg1_8.json",
"simdata/svcsimn_10k_10k_d4_a1_i10_avg1_8.json",
"simdata/expsvcsimn_10k_10k_d4_a1_i10_avg1_8.json",
"simdata/randsvcsimn_10k_10k_d4_a1_i10_avg1_8.json",
],
"-m": ["tricol"],
"-j": [500],
"-l": [
"sf, $\langle{dep}\\rangle = 1$",
"exp, $\langle{dep}\\rangle = 1$",
"rand, $\langle{dep}\\rangle = 1$",
"sf, $\langle{dep}\\rangle \\approx 1.5$",
"exp, $\langle{dep}\\rangle \\approx 1.5$",
"rand, $\langle{dep}\\rangle \\approx 1.5$",
"sf, $\langle{dep}\\rangle \\approx 2$",
"exp, $\langle{dep}\\rangle \\approx 2$",
"rand, $\langle{dep}\\rangle \\approx 2$",
],
"-axisfsize": ["large"],
"-ncol": [3],
"-ax": [oax],
"-ylim": [-0.02, 0.36],
"-t": ["Cascading failure with different $\langle{dep}\\rangle$ in service networks"],
"-xl": ["Random failed services $n_r$ (in fraction)"],
"-yl": ["Cascade failed services $n_c$ (in fraction)"],
}
)
lsarg.append(
{
"func": ["-fc"],
"files": ["simdata/pwsvcsim_avg1_16.json"],
"-m": ["diamond"],
"-j": [500],
"-l": ["ProgrammableWeb"],
"-axisfsize": ["large"],
"-ax": [oax2],
}
)
lsarg.append(
{
"func": ["-fc"],
"files": ["simdata/lgsvcsim_avg1_16.json"],
"-m": ["star"],
"-j": [10],
"-l": ["The Language Grid"],
"-axisfsize": ["large"],
"-ncol": [3],
"-ax": [oax2],
"-ylim": [-0.02, 0.36],
"-loc": [4],
}
)
for i in range(len(lsarg)):
ds = []
func = lsarg[i]["func"][0]
ax = getargval(lsarg[i], "-ax")[0]
step = p.STEP
argstep = getargval(lsarg[i], "-j")
if argstep:
step = int(argstep[0])
for finjson in lsarg[i]["files"]:
f = open(finjson)
try:
data = json.load(f)
p.loaddata(ds, func, data, finjson, step)
finally:
f.close()
logx = False
arglogx = getargval(lsarg[i], "-logx")
if arglogx:
logx = int(arglogx[0]) > 0
logy = False
arglogy = getargval(lsarg[i], "-logy")
if arglogy:
logy = int(arglogy[0]) > 0
lb = p.LOGBINBASE
arglb = getargval(lsarg[i], "-lb")
if arglb:
lb = float(arglb[0])
xlim = getargval(lsarg[i], "-xlim")
ylim = getargval(lsarg[i], "-ylim")
plotfile = getargval(lsarg[i], "-v", [None])[0]
axisfsize = getargval(lsarg[i], "-axisfsize", ["medium"])[0]
try:
axisfsize = int(axisfsize)
except:
pass
ncol = int(getargval(lsarg[i], "-ncol", [1])[0])
legmode = getargval(lsarg[i], "-lm", ["normal"])[0]
bbox_to_anchor = getargval(lsarg[i], "-lbb", None)
if func in [p.FUNC_FAIL, p.FUNC_FAILCASC]:
p.plotfailnodes(
ds,
getargval(lsarg[i], "-l"),
getargval(lsarg[i], "-m", ["var"])[0],
isbase=func == p.FUNC_FAIL,
xylabels={"x": getargval(lsarg[i], "-xl", [""])[0], "y": getargval(lsarg[i], "-yl", [""])[0]},
title=getargval(lsarg[i], "-t", [""])[0],
legloc=int(getargval(lsarg[i], "-loc", [2])[0]),
xlim=xlim,
ylim=ylim,
axisfsize=axisfsize,
ax=ax,
ncol=ncol,
legmode=legmode,
bbox_to_anchor=bbox_to_anchor,
)
oax2.get_yaxis().set_visible(False)
# # clean some ticks of the left y-axis
# yts = oax.get_yaxis().get_major_ticks()
# yts[-2].label.set_visible(False)
# yts[-3].label.set_visible(False)
p.processplot(p.plt, getargval(lsarg[i], "-s", [None])[0])
def main(argv):
oax = p.plt.gca()
oax2 = p.plt.twinx(oax)
lsarg = []
lsarg.append({'func':['-fc'], 'files':['simdata/svcsimn_10k_10k_d2_a2_i10_avg1_8.json', 'simdata/expsvcsimn_10k_10k_d2_a2_i10_avg1_8.json', 'simdata/randsvcsimn_10k_10k_d2_a2_i10_avg1_8.json', 'simdata/svcsimn_10k_10k_d2_a3_i10_avg1_8.json', 'simdata/expsvcsimn_10k_10k_d2_a3_i10_avg1_8.json', 'simdata/randsvcsimn_10k_10k_d2_a3_i10_avg1_8.json', 'simdata/svcsimn_10k_10k_d2_a4_i10_avg1_8.json', 'simdata/expsvcsimn_10k_10k_d2_a4_i10_avg1_8.json', 'simdata/randsvcsimn_10k_10k_d2_a4_i10_avg1_8.json'], '-m':['tricol'], '-j':[500], '-l':['sf, $\langle{alt}\\rangle = 0$', 'exp, $\langle{alt}\\rangle = 0$', 'rand, $\langle{alt}\\rangle = 0$', 'sf, $\langle{alt}\\rangle \\approx 0.5$', 'exp, $\langle{alt}\\rangle \\approx 0.5$', 'rand, $\langle{alt}\\rangle \\approx 0.5$', 'sf, $\langle{alt}\\rangle \\approx 1$', 'exp, $\langle{alt}\\rangle \\approx 1$', 'rand, $\langle{alt}\\rangle \\approx 1$'], '-axisfsize':['large'], '-ncol':[3], '-ax':[oax], '-ylim':[-0.02, 0.25], '-t':['Cascading failure with different $\langle{alt}\\rangle$ in service networks'], '-xl':['Random failed services $n_r$ (in fraction)'], '-yl':['Cascade failed services $n_c$ (in fraction)']})
lsarg.append({'func':['-fc'], 'files':['simdata/pwsvcsim_avg1_16.json'], '-m':['diamond'], '-j':[500], '-l':['ProgrammableWeb'], '-axisfsize':['large'], '-ax':[oax2]})
lsarg.append({'func':['-fc'], 'files':['simdata/lgsvcsim_avg1_16.json'], '-m':['star'], '-j':[10], '-l':['The Language Grid'], '-axisfsize':['large'], '-ncol':[3], '-ax':[oax2], '-ylim':[-0.02, 0.25], '-loc':[4]})
for i in range(len(lsarg)):
ds = []
func = lsarg[i]['func'][0]
ax = getargval(lsarg[i], '-ax')[0]
step = p.STEP
argstep = getargval(lsarg[i], '-j')
if argstep:
step = int(argstep[0])
for finjson in lsarg[i]['files']:
f = open(finjson)
try:
data = json.load(f)
p.loaddata(ds, func, data, finjson, step)
finally:
f.close()
logx = False
arglogx = getargval(lsarg[i], '-logx')
if arglogx:
logx = int(arglogx[0]) > 0
logy = False
arglogy = getargval(lsarg[i], '-logy')
if arglogy:
logy = int(arglogy[0]) > 0
lb = p.LOGBINBASE
arglb = getargval(lsarg[i], '-lb')
if arglb:
lb = float(arglb[0])
xlim = getargval(lsarg[i], '-xlim')
ylim = getargval(lsarg[i], '-ylim')
plotfile = getargval(lsarg[i], '-v', [None])[0]
axisfsize = getargval(lsarg[i], '-axisfsize', ['medium'])[0]
try:
axisfsize = int(axisfsize)
except:
pass
ncol = int(getargval(lsarg[i], '-ncol', [1])[0])
legmode = getargval(lsarg[i], '-lm', ['normal'])[0]
bbox_to_anchor = getargval(lsarg[i], '-lbb', None)
if func in [p.FUNC_FAIL, p.FUNC_FAILCASC]:
p.plotfailnodes(ds
, getargval(lsarg[i], '-l')
, getargval(lsarg[i], '-m', ['var'])[0]
, isbase=func==p.FUNC_FAIL
, xylabels={'x': getargval(lsarg[i], '-xl', [''])[0], 'y': getargval(lsarg[i], '-yl', [''])[0]}
, title=getargval(lsarg[i], '-t', [''])[0]
, legloc=int(getargval(lsarg[i], '-loc', [2])[0])
, xlim=xlim
, ylim=ylim
, axisfsize=axisfsize
, ax=ax
, ncol=ncol
, legmode=legmode
, bbox_to_anchor=bbox_to_anchor)
oax2.get_yaxis().set_visible(False)
#oax.get_yaxis().set_ticks()
p.processplot(p.plt, getargval(lsarg[i], '-s', [None])[0])
def main(argv):
lsarg = []
lsarg.append({'func':['-fc'], 'files':['simdata/pwsvcsim_avg1_16.json'], '-m':['diamond'], '-j':[500], '-l':['ProgrammableWeb'], '-axisfsize':['large']})
lsarg.append({'func':['-fc'], 'files':['simdata/lgsvcsim_avg1_16.json'], '-m':['star'], '-j':[10], '-t':['Cascading failure on real networks'], '-xl':['Random failed services $n_r$ (in fraction)'], '-yl':['Cascade failed services $n_c$ (in fraction)'], '-l':['The Language Grid'], '-loc':[2], '-axisfsize':['large']})
for i in range(len(lsarg)):
ds = []
func = lsarg[i]['func'][0]
step = p.STEP
argstep = getargval(lsarg[i], '-j')
if argstep:
step = int(argstep[0])
for finjson in lsarg[i]['files']:
f = open(finjson)
try:
data = json.load(f)
p.loaddata(ds, func, data, finjson, step)
finally:
f.close()
logx = False
arglogx = getargval(lsarg[i], '-logx')
if arglogx:
logx = int(arglogx[0]) > 0
logy = False
arglogy = getargval(lsarg[i], '-logy')
if arglogy:
logy = int(arglogy[0]) > 0
lb = p.LOGBINBASE
arglb = getargval(lsarg[i], '-lb')
if arglb:
lb = float(arglb[0])
xlim = getargval(lsarg[i], '-xlim')
ylim = getargval(lsarg[i], '-ylim')
plotfile = getargval(lsarg[i], '-v', [None])[0]
axisfsize = getargval(lsarg[i], '-axisfsize', ['medium'])[0]
try:
axisfsize = int(axisfsize)
except:
pass
ax = p.plt.gca()
if func in [p.FUNC_FAIL, p.FUNC_FAILCASC]:
p.plotfailnodes(ds
, getargval(lsarg[i], '-l')
, getargval(lsarg[i], '-m', ['var'])[0]
, isbase=func==p.FUNC_FAIL
, xylabels={'x': getargval(lsarg[i], '-xl', [''])[0], 'y': getargval(lsarg[i], '-yl', [''])[0]}
, title=getargval(lsarg[i], '-t', [''])[0]
, legloc=int(getargval(lsarg[i], '-loc', [2])[0])
, xlim=xlim
, ylim=ylim
, axisfsize=axisfsize
, ax=ax)
# process legend independently
#legend = p.plt.legend([ax.get_lines()[0]], loc=int(getargval(lsarg[i], '-loc', [2])[0]))
# add the legend to te axes
#ax.add_artist(legend)
p.processplot(p.plt, getargval(lsarg[i], '-s', [None])[0])
def main(argv):
lsarg = []
lsarg.append({'func':['-fc'], 'files':['simdata/pwsvcsim_avg1_16.json', 'simdata/pwsvcsim_a2_avg1_16.json', 'simdata/pwsvcsim_a3_avg1_16.json'], '-m':['green'], '-j':[500]})
lsarg.append({'func':['-fc'], 'files':['simdata/lgsvcsim_avg1_16.json', 'simdata/lgsvcsim_a2_avg1_16.json', 'simdata/lgsvcsim_a3_avg1_16.json'], '-m':['cyan'], '-j':[10], '-t':['Cascading failure with different $\langle{alt}\\rangle$ on real networks'], '-xl':['Random failed services $n_r$ (in fraction)'], '-yl':['Cascade failed services $n_c$ (in fraction)']})
fig = p.plt.figure()
for i in range(len(lsarg)):
ds = []
func = lsarg[i]['func'][0]
step = p.STEP
argstep = getargval(lsarg[i], '-j')
if argstep:
step = int(argstep[0])
for finjson in lsarg[i]['files']:
f = open(finjson)
try:
data = json.load(f)
p.loaddata(ds, func, data, finjson, step)
finally:
f.close()
logx = False
arglogx = getargval(lsarg[i], '-logx')
if arglogx:
logx = int(arglogx[0]) > 0
logy = False
arglogy = getargval(lsarg[i], '-logy')
if arglogy:
logy = int(arglogy[0]) > 0
lb = p.LOGBINBASE
arglb = getargval(lsarg[i], '-lb')
if arglb:
lb = float(arglb[0])
xlim = getargval(lsarg[i], '-xlim')
ylim = getargval(lsarg[i], '-ylim')
plotfile = getargval(lsarg[i], '-v', [None])[0]
if func in [p.FUNC_LOGINDEG, p.FUNC_HISTINDEG]:
xlabel = 'In-degree'
elif func in [p.FUNC_LOGOUTDEG, p.FUNC_HISTOUTDEG]:
xlabel = 'Out-degree'
axisfsize = getargval(lsarg[i], '-axisfsize', ['medium'])[0]
try:
axisfsize = int(axisfsize)
except:
pass
if func in [p.FUNC_FAIL, p.FUNC_FAILCASC]:
p.plotfailnodes(ds
, getargval(lsarg[i], '-l')
, getargval(lsarg[i], '-m', ['var'])[0]
, isbase=func==p.FUNC_FAIL
, xylabels={'x': getargval(lsarg[i], '-xl', [''])[0], 'y': getargval(lsarg[i], '-yl', [''])[0]}
, title=getargval(lsarg[i], '-t', [''])[0]
, legloc=int(getargval(lsarg[i], '-loc', [2])[0])
, xlim=xlim
, ylim=ylim
, axisfsize=axisfsize
, fig=fig)
p.processplot(p.plt, getargval(lsarg[i], '-s', [None])[0])