def plot(self, f, lfilter=None, plot_xy=False, **kargs):
"""Applies a function to each packet to get a value that will be plotted
with matplotlib. A list of matplotlib.lines.Line2D is returned.
lfilter: a truth function that decides whether a packet must be plotted
"""
# Python 2 backward compatibility
f = lambda_tuple_converter(f)
lfilter = lambda_tuple_converter(lfilter)
# 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)]
# Mimic the default gnuplot output
if kargs == {}:
kargs = MATPLOTLIB_DEFAULT_PLOT_KARGS
if plot_xy:
lines = plt.plot(*zip(*l), **kargs)
else:
lines = plt.plot(l, **kargs)
# Call show() if matplotlib is not inlined
if not MATPLOTLIB_INLINED:
plt.show()
return lines
def plot(self, f, lfilter=None, plot_xy=False, **kargs):
"""Applies a function to each packet to get a value that will be plotted
with matplotlib. A list of matplotlib.lines.Line2D is returned.
lfilter: a truth function that decides whether a packet must be plotted
"""
# 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)]
# Mimic the default gnuplot output
if kargs == {}:
kargs = MATPLOTLIB_DEFAULT_PLOT_KARGS
if plot_xy:
lines = plt.plot(*zip(*l), **kargs)
else:
lines = plt.plot(l, **kargs)
# 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
def plot(self, f, lfilter=None, plot_xy=False, **kargs):
# type: (Callable, Optional[Callable], bool, Any) -> Line2D
"""Applies a function to each packet to get a value that will be plotted
with matplotlib. A list of matplotlib.lines.Line2D is returned.
lfilter: a truth function that decides whether a packet must be plotted
"""
# Python 2 backward compatibility
f = lambda_tuple_converter(f)
lfilter = lambda_tuple_converter(lfilter)
# Get the list of packets
if lfilter is None:
lst_pkts = [f(*e) for e in self.res]
else:
lst_pkts = [f(*e) for e in self.res if lfilter(*e)]
# Mimic the default gnuplot output
if kargs == {}:
kargs = MATPLOTLIB_DEFAULT_PLOT_KARGS
if plot_xy:
lines = plt.plot(*zip(*lst_pkts), **kargs)
else:
lines = plt.plot(lst_pkts, **kargs)
# Call show() if matplotlib is not inlined
if not MATPLOTLIB_INLINED:
plt.show()
return lines
def multiplot(
self,
f, # type: Callable[..., Any]
lfilter=None, # type: Optional[Callable[..., Any]]
plot_xy=False, # type: bool
**kargs # type: Any
):
# type: (...) -> Line2D
"""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.
"""
# Python 2 backward compatibility
f = lambda_tuple_converter(f)
if lfilter is not None:
lfilter = lambda_tuple_converter(lfilter)
# Get the list of packets
if lfilter is None:
lst_pkts = (f(*e) for e in self.res)
else:
lst_pkts = (f(*e) for e in self.res if lfilter(*e))
# Apply the function f to the packets
d = {} # type: Dict[str, List[float]]
for k, v in lst_pkts:
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
def diffplot(self, f, delay=1, lfilter=None, **kargs):
# type: (Callable, int, Optional[Callable], Any) -> Line2D
"""diffplot(f, delay=1, lfilter=None)
Applies a function to couples (l[i],l[i+delay])
A list of matplotlib.lines.Line2D is returned.
"""
# Get the list of packets
if lfilter is None:
lst_pkts = [
f(self.res[i], self.res[i + 1])
for i in range(len(self.res) - delay)
]
else:
lst_pkts = [
f(self.res[i], self.res[i + 1])
for i in range(len(self.res) - delay) if lfilter(self.res[i])
]
# Mimic the default gnuplot output
if kargs == {}:
kargs = MATPLOTLIB_DEFAULT_PLOT_KARGS
lines = plt.plot(lst_pkts, **kargs)
# Call show() if matplotlib is not inlined
if not MATPLOTLIB_INLINED:
plt.show()
return lines
def diffplot(self, f, delay=1, lfilter=None, **kargs):
"""diffplot(f, delay=1, lfilter=None)
Applies a function to couples (l[i],l[i+delay])
A list of matplotlib.lines.Line2D is returned.
"""
# Get the list of packets
if lfilter is None:
l = [f(self.res[i], self.res[i + 1])
for i in range(len(self.res) - delay)]
else:
l = [f(self.res[i], self.res[i + 1])
for i in range(len(self.res) - delay)
if lfilter(self.res[i])]
# Mimic the default gnuplot output
if kargs == {}:
kargs = MATPLOTLIB_DEFAULT_PLOT_KARGS
lines = plt.plot(l, **kargs)
# 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.
"""
# Python 2 backward compatibility
f = lambda_tuple_converter(f)
lfilter = lambda_tuple_converter(lfilter)
# 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