def nsummary(
self,
prn=None, # type: Optional[Callable[..., Any]]
lfilter=None # type: Optional[Callable[..., bool]]
):
# type: (...) -> None
"""prints a summary of each packet with the packet's number
:param prn: function to apply to each packet instead of
lambda x:x.summary()
:param lfilter: truth function to apply to each packet to decide
whether it will be displayed
"""
# Python 2 backward compatibility
if prn is not None:
prn = lambda_tuple_converter(prn)
if lfilter is not None:
lfilter = lambda_tuple_converter(lfilter)
for i, res in enumerate(self.res):
if lfilter is not None:
if not lfilter(*res):
continue
print(conf.color_theme.id(i, fmt="%04i"), end=' ')
if prn is None:
print(self._elt2sum(res))
else:
print(prn(*res))
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 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 summary(
self,
prn=None, # type: Optional[Callable[..., Any]]
lfilter=None # type: Optional[Callable[..., bool]]
):
# type: (...) -> None
"""prints a summary of each packet
:param prn: function to apply to each packet instead of
lambda x:x.summary()
:param lfilter: truth function to apply to each packet to decide
whether it will be displayed
"""
# Python 2 backward compatibility
if prn is not None:
prn = lambda_tuple_converter(prn)
if lfilter is not None:
lfilter = lambda_tuple_converter(lfilter)
for r in self.res:
if lfilter is not None:
if not lfilter(*r):
continue
if prn is None:
print(self._elt2sum(r))
else:
print(prn(*r))
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.
"""
# Defer imports of matplotlib until its needed
# because it has a heavy dep chain
from scapy.libs.matplot import (
plt,
MATPLOTLIB_INLINED,
MATPLOTLIB_DEFAULT_PLOT_KARGS
)
# 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 filter(self, func):
# type: (Callable) -> PacketList
"""Returns a packet list filtered by a truth function. This truth
function has to take a packet as the only argument and return a boolean value.""" # noqa: E501
# Python 2 backward compatibility
func = lambda_tuple_converter(func)
return self.__class__([x for x in self.res if func(*x)],
name="filtered %s" % self.listname)
def plot(self,
f, # type: Callable[..., Any]
lfilter=None, # type: Optional[Callable[..., bool]]
plot_xy=False, # type: bool
**kargs # type: Any
):
# type: (...) -> 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
"""
# Defer imports of matplotlib until its needed
# because it has a heavy dep chain
from scapy.libs.matplot import (
plt,
MATPLOTLIB_INLINED,
MATPLOTLIB_DEFAULT_PLOT_KARGS
)
# 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)]
# 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, 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
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
