def multiplot(self, f, lfilter=None, plot_xy=False, **kargs):
"""Uses a function that returns a label and a value for this label, then
plots all the values label by label.
A list of matplotlib.lines.Line2D is returned.
"""
# Get the list of packets
if lfilter is None:
l = (f(e) for e in self.res)
else:
l = (f(e) for e in self.res if lfilter(e))
# Apply the function f to the packets
d = {}
for k, v in l:
d.setdefault(k, []).append(v)
# Mimic the default gnuplot output
if not kargs:
kargs = MATPLOTLIB_DEFAULT_PLOT_KARGS
if plot_xy:
lines = [plt.plot(*zip(*pl), **dict(kargs, label=k))
for k, pl in d.iteritems()]
else:
lines = [plt.plot(pl, **dict(kargs, label=k))
for k, pl in d.iteritems()]
plt.legend(loc="center right", bbox_to_anchor=(1.5, 0.5))
# Call show() if matplotlib is not inlined
if not MATPLOTLIB_INLINED:
plt.show()
return lines
def multiplot(self, f, lfilter=None, plot_xy=False, **kargs):
"""Uses a function that returns a label and a value for this label, then
plots all the values label by label.
A list of matplotlib.lines.Line2D is returned.
"""
# Get the list of packets
if lfilter is None:
l = (f(e) for e in self.res)
else:
l = (f(e) for e in self.res if lfilter(e))
# Apply the function f to the packets
d = {}
for k, v in l:
d.setdefault(k, []).append(v)
# Mimic the default gnuplot output
if not kargs:
kargs = MATPLOTLIB_DEFAULT_PLOT_KARGS
if plot_xy:
lines = [plt.plot(*zip(*pl), **dict(kargs, label=k))
for k, pl in six.iteritems(d)]
else:
lines = [plt.plot(pl, **dict(kargs, label=k))
for k, pl in six.iteritems(d)]
plt.legend(loc="center right", bbox_to_anchor=(1.5, 0.5))
# Call show() if matplotlib is not inlined
if not MATPLOTLIB_INLINED:
plt.show()
return lines