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()
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()
