本文整理汇总了Python中graphs.Graph.show方法的典型用法代码示例。如果您正苦于以下问题：Python Graph.show方法的具体用法？Python Graph.show怎么用？Python Graph.show使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类graphs.Graph的用法示例。
在下文中一共展示了Graph.show方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: makeResults
# 需要导入模块: from graphs import Graph [as 别名]
# 或者: from graphs.Graph import show [as 别名]
#.........这里部分代码省略.........
mts = {}
msteps = {}
mdevs = {}
stepByStep = {}
try:
fn = "checks/%s.pdf" % checkName
pdf = PdfPages(fn)
for name, method in methods.iteritems():
avgs = {}
rdiffs = {}
adiffs = {}
devs = {}
ts = {}
stepStats = {}
steps = {"total": None}
for target, tsteps in method["real_steps"].iteritems():
st = zip(*map(lambda x: (2 * x[0], x[1]), tsteps))
step_time = np.array((0,) + st[1])
step_values = np.array((0,) + st[0])
steps[target] = (step_time, step_values)
steps["total"] = (
(step_time, np.add(steps["total"][1], step_values))
if steps["total"] is not None
else (step_time, step_values)
)
stepStats["baseline"] = {}
for pair in method["pairs"]:
avg = map(lambda measure: measure.rttavg, pair.measures)
adiff = map(lambda measure: pair.subtrackBaseline(measure).rttavg - 2 * measure.step, pair.measures)
rdiff = map(
lambda measure: abs(pair.subtrackBaseline(measure).rttavg) / (2 * measure.step + 1),
pair.measures,
)
dev = map(lambda measure: measure.rttdev, pair.measures)
for measure in pair.baselineMeasures:
if not mboxes["baselineMeasures"].has_key(name):
mboxes["baselineMeasures"][name] = []
mboxes["baselineMeasures"][name].append(measure.rttavg)
if not stepStats["baseline"].has_key(pair.getPair()):
stepStats["baseline"][pair.getPair()] = []
stepStats["baseline"][pair.getPair()].append(
(measure.timestamp, measure.rttavg, measure.rttdev)
)
for measure in pair.measures:
if not mboxes.has_key(measure.step):
mboxes[measure.step] = {}
if not mboxes[measure.step].has_key(name):
mboxes[measure.step][name] = []
# mboxes[measure.step][name].append(measure.rttavg)
mboxes[measure.step][name].append(pair.subtrackBaseline(measure).rttavg)
if not stepStats.has_key(measure.step):
stepStats[measure.step] = {}
if not stepStats[measure.step].has_key(pair.getPair()):
stepStats[measure.step][pair.getPair()] = []
stepStats[measure.step][pair.getPair()].append(
(measure.timestamp, measure.rttavg, measure.rttdev)
)
if not mboxes["baseline"].has_key(pair.getPair()):
mboxes["baseline"][pair.getPair()] = {}
mboxes["baseline"][pair.getPair()][name] = (pair.baseline.rttavg, pair.baseline.rttdev)
t = map(lambda measure: measure.timestamp, pair.measures)
avgs[pair.getPair()] = np.array(avg)
rdiffs[pair.getPair()] = np.log10(np.array(rdiff))
# rdiffs[pair.getPair()] = np.array(rdiff)
adiffs[pair.getPair()] = np.array(adiff)
devs[pair.getPair()] = np.array(dev)
ts[pair.getPair()] = np.array(t)
# save results
mavgs[name] = avgs
mrdiffs[name] = rdiffs
madiffs[name] = adiffs
mdevs[name] = devs
msteps[name] = steps
mts[name] = ts
stepByStep[name] = stepStats
cls.drawMethodsSummary(nmethods, madiffs, mavgs, mdevs, methods, mrdiffs, msteps, mts, pdf)
# plot detailed data for each step (and each method)
cls.drawStepByStep(methods, nSteps, nmethods, pdf, stepByStep)
# draw methods and step summaries
cls.drawBoxPlots(mboxes, methods, nmethods, pdf)
d = pdf.infodict()
d["Title"] = "Delays measurement"
d["Author"] = u"Francois Espinet"
d["Subject"] = "Delay measurement"
d["Keywords"] = "measurement delays"
d["ModDate"] = datetime.datetime.today()
finally:
pdf.close()
info("Saved graphics to %s\n" % fn)
Graph.show()