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 xrange(len(self.res) - delay)
]
else:
l = [
f(self.res[i], self.res[i + 1])
for i in xrange(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.
"""
# 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 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 ploted
"""
# 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 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 xrange(len(self.res) - delay)]
else:
l = [f(self.res[i], self.res[i+1])
for i in xrange(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 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 ploted
"""
# 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 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
l = self.res
# Apply the filter
if lfilter is not None:
l = filter(lfilter, l)
# Apply the function f to compute the difference
l = map(f, l[:-delay],l[delay:])
# 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.
"""
# 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 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
l = self.res
# Apply the filter
if lfilter is not None:
l = filter(lfilter, l)
# Apply the function f to compute the difference
l = map(f, l[:-delay], l[delay:])
# 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