Converting a sniffed scapy packet to bytes - struct

Question

When sniffing packets with scapy I can save them to a variable
sniffed = sniff(count=1)
Now I would like to see what's inside the packet by doing
print sniffed
or
print str(sniffed)
but all this gives me is something like the following:
������0� E4h##����������� l��
which isn't quite what I need. So how can I convert a sniffed packet into human readable Binary, or an array of Bytes or something more useful so that I can see what's inside? I have already tried using struct.unpack(format, packet) with formats like "!B", but that does not seem to be the right solution, because the packet can be longer than one Byte or a Short or an Int.
Example for what I'm trying
>>> packet = sniff(count=1)[0]
>>> hexdump(packet)
0000 00 50 56 8E 00 0D 14 CC 20 16 E7 59 08 00 45 00 .PV..... ..Y..E.
0010 00 34 6B AB 40 00 40 06 C6 48 AC 11 8A E2 68 10 .4k.#.#..H....h.
0020 69 CC B5 47 00 50 E9 85 17 B0 BA EF 29 B2 80 10 i..G.P......)...
0030 01 DD 8D 58 00 00 01 01 08 0A 00 0E A2 C0 03 5D ...X...........]
0040 9D 1C
>>> packetByteArray = bytearray(repr(str(packet)))
>>> hex(packetByteArray[0])
'0x27'
>>>
But in the hexdump I can see that the first Byte is actually 0x00 and not 0x27

Answer 1

You are probably searching for scapy Hexdump(pkt) or hexraw(pkt) or repr(str(pkt)) for string encoded output. Note that sniff returns a list, not a single pkt.
If you want to access serialized packet bytes one by one just serialize the layers str(pkt) to get a python (char/byte)-string.
for b in str(pkt):
print "char: %s ord/value: %d hex: %x"%(b,ord(b),ord(b))

Answer 2

If you have already read the packet as pkt you may see bytes by time :
pktBytes=[]
pktTimes=[]
from datetime import datetime
#Read each packet and append to the lists.
for p in pkt:
if IP in p:
try:
pktBytes.append(p[IP].len)
pktTime=datetime.fromtimestamp(p.time)
pktTimes.append(pktTime.strftime("%Y-%m-%d %H:%M:%S.%f"))
except:
pass
# Convert list to series
bytes = pd.Series(pktBytes).astype(int)
# Convert the timestamp list to a pd date_time with the option “errors=coerce” to handle errors.
times = pd.to_datetime(pd.Series(pktTimes).astype(str), errors='coerce')
# Build the dataframe, set time as index
df = pd.DataFrame({'Bytes': bytes, 'Times':times})
df = df.set_index('Times')
# See how it looks in 2 seconds sums
df.resample('2S').sum().plot()