本文整理汇总了Python中graphs.Graph.errorbar方法的典型用法代码示例。如果您正苦于以下问题：Python Graph.errorbar方法的具体用法？Python Graph.errorbar怎么用？Python Graph.errorbar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.errorbar方法的3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: drawStepByStep
# 需要导入模块: from graphs import Graph [as 别名]
# 或者: from graphs.Graph import errorbar [as 别名]
def drawStepByStep(cls, methods, nSteps, nmethods, pdf, stepByStep):
fig = 1
ncols = nSteps + 1 # steps + baseline
nlines = nmethods
for name, method in methods.iteritems():
# draw baseline
bl = stepByStep[name]["baseline"]
for pair in method["pairs"]:
val = zip(*bl[pair.getPair()])
Graph.subplot(nlines, ncols, fig)
Graph.errorbar(
val[0],
val[1],
yerr=val[2],
fmt=".",
color=Graph.getColor(pair.getPair()),
label="%s,%s" % pair.getPair(),
)
Graph.hold = True
Graph.decorate(
g_xlabel="Time (s)", g_ylabel="RTT time", g_title="Measures for %s, baseline" % name, g_grid=True
)
Graph.legend(loc=2)
dfig = 1
k = sorted(stepByStep[name].keys())
k.remove("baseline")
for step in k:
Graph.subplot(nlines, ncols, fig + dfig)
for pair in method["pairs"]:
val = zip(*stepByStep[name][step][pair.getPair()])
Graph.errorbar(
val[0],
val[1],
yerr=val[2],
fmt=".",
color=Graph.getColor(pair.getPair()),
label="%s,%s" % pair.getPair(),
)
Graph.hold = True
Graph.axhline(2 * step, color=Graph.getColor(step))
Graph.decorate(
g_xlabel="Time (s)",
g_ylabel="RTT time",
g_title="Measures for %s, step 2x%sms" % (name, step),
g_grid=True,
)
Graph.legend(loc=2)
dfig += 1
fig += ncols
fig = Graph.gcf()
fig.set_size_inches(50, 25)
pdf.savefig(bbox_inches="tight") #'checks/delay.pdf', format = 'pdf', )
Graph.close()示例2: drawMethodsSummary
# 需要导入模块: from graphs import Graph [as 别名]
# 或者: from graphs.Graph import errorbar [as 别名]
def drawMethodsSummary(cls, nmethods, madiffs, mavgs, mdevs, methods, mrdiffs, msteps, mts, pdf):
line = 1
ncols = 3
nlines = nmethods
nbins = 15
# plot the data
for name, method in methods.iteritems():
ts = mts[name]
devs = mdevs[name]
avgs = mavgs[name]
steps = msteps[name]
rdiffs = mrdiffs[name]
adiffs = madiffs[name]
Graph.subplot(nlines, ncols, line)
for pair in method["pairs"]:
Graph.errorbar(
ts[pair.getPair()],
avgs[pair.getPair()],
yerr=devs[pair.getPair()],
fmt=".",
color=Graph.getColor(pair.getPair()),
label="%s,%s" % pair.getPair(),
)
Graph.hold = True
for target, tsteps in steps.iteritems():
Graph.step(tsteps[0], tsteps[1], "r", where="post", label=target, color=Graph.getColor(target))
Graph.hold = True
Graph.decorate(g_xlabel="Time (s)", g_ylabel="RTT time", g_title="Measures for %s" % name)
Graph.legend(loc=2)
Graph.subplot(nlines, ncols, line + 1)
n, bins, patches = Graph.hist(
rdiffs.values(),
nbins,
normed=1,
label=["%s,%s" % x for x in rdiffs.keys()],
g_xlabel="Logarithmic Relative error",
g_title="Logarithmic Relative error for %s" % name,
)
Graph.legend(loc="upper left", bbox_to_anchor=(0.9, 1.0), ncol=1)
# ax.set_xticklabels([lab.get_text() for lab in ax.get_xaxis().get_ticklabels()])
Graph.subplot(nlines, ncols, line + 2)
Graph.hist(
adiffs.values(),
nbins,
label=["%s,%s" % x for x in adiffs.keys()],
g_xlabel="Absolute error",
g_title="Absolute error for %s" % name,
)
Graph.legend(loc="upper left", bbox_to_anchor=(0.9, 1.0), ncol=1)
# plt.hist(diffs.values(), stacked = True)
# plt.xticks(bins, ["2^%s" % i for i in bins])
# plt.hold(True)
# plt.plot(steps_time, steps_val, 'r,-')
# plt.axis([0, 60, 0, 2000])
# ax = plt.gca()
# ax.yaxis.grid(True, linestyle = '-', which = 'major', color = 'lightgrey',
# alpha = 0.5)
Graph.draw()
line += ncols
fig = Graph.gcf()
fig.set_size_inches(20, 25)
pdf.savefig(bbox_inches="tight") #'checks/delay.pdf', format = 'pdf', )
Graph.close()示例3: drawBoxPlots
# 需要导入模块: from graphs import Graph [as 别名]
# 或者: from graphs.Graph import errorbar [as 别名]
def drawBoxPlots(cls, mboxes, methods, nmethods, pdf):
bl = mboxes.pop("baseline")
blm = mboxes.pop("baselineMeasures")
mets = sorted(methods.keys())
for outliers in ("^", ""):
nstep = 1
# compare methods to each other
ncols = nmethods + 2
Graph.clf()
Graph.subplot(1, ncols, nstep)
d = 1.0 / (2 * len(bl))
# make sure we iterate with the same order over methods
for pair, data in bl.iteritems():
vals = [[], []]
for me in mets:
vals[0].append(data[me][0])
vals[1].append(data[me][1])
Graph.errorbar(
[d + i for i in range(1, len(mets) + 1)],
vals[0],
yerr=vals[1],
fmt=".",
color=Graph.getColor(pair),
label="%s,%s" % pair,
)
Graph.hold = True
d += 1.0 / len(bl)
for l in range(1, len(mets) + 1):
Graph.axvspan(
l, l + 1, facecolor=Graph.getColor(mets[l - 1]), alpha=0.1, hold=True
) # , linestyle = '--')
Graph.legend(loc=2)
Graph.xticks(rotation=50)
Graph.decorate(
g_xtickslab=[""] + mets,
g_xticks=[0.5 + i for i in range(0, len(methods) + 1)],
g_grid=True,
g_xlabel="Measurement method",
g_ylabel="Measured delays with stddev (ms)",
g_title="Baseline for all methods",
)
nstep += 1
Graph.subplot(1, ncols, nstep)
Graph.boxplot([blm[met] for met in mets], sym=outliers)
Graph.xticks(rotation=50)
Graph.decorate(
g_xtickslab=mets,
g_grid=True,
g_xlabel="Measurement method",
g_ylabel="Measured baseline (ms)",
g_title="Measures for baseline",
)
nstep += 1
for step in sorted(mboxes.keys()):
m_datas = mboxes[step]
Graph.subplot(1, ncols, nstep)
Graph.xticks(rotation=50)
Graph.boxplot([m_datas[met] for met in mets], sym=outliers)
Graph.axhline(2 * step, color="r")
Graph.decorate(
g_xtickslab=mets,
g_grid=True,
g_xlabel="Measurement method",
g_ylabel="Measured delays - baseline (ms)",
g_title="Measures for step 2x%sms" % step,
)
nstep += 1
fig = Graph.gcf()
fig.set_size_inches(28, 8)
pdf.savefig(bbox_inches="tight") #'checks/boxdelay.pdf', format = 'pdf', )
Graph.close()