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Read binary file and check with matching character in python

I would like to scan through data files from GPS receiver byte-wise (actually it will be a continuous flow, not want to test the code with offline data). If find a match, then check the next 2 bytes for the 'length' and get the next 2 bytes and shift 2 bits(not byte) to the right, etc. I didn't handle binary before, so stuck in a simple task. I could read the binary file byte-by-byte, but can not find a way to match by desired pattern (i.e. D3).
with open("COM6_200417.ubx", "rb") as f:
byte = f.read(1) # read 1-byte at a time
while byte != b"":
# Do stuff with byte.
byte = f.read(1)
print(byte)
The output file is:
b'\x82'
b'\xc2'
b'\xe3'
b'\xb8'
b'\xe0'
b'\x00'
b'#'
b'\x13'
b'\x05'
b'!'
b'\xd3'
b'\x00'
b'\x13'
....
how to check if that byte is == '\xd3'? (D3)
also would like to know how to shift bit-wise, as I need to check decimal value consisting of 6 bits
(1-byte and next byte's first 2-bits). Considering, taking 2-bytes(8-bits) and then 2-bit right-shift
to get 6-bits. Is it possible in python? Any improvement/addition/changes are very much appreciated.
ps. can I get rid of that pesky 'b' from the front? but if ignoring it does not affect then no problem though.
Thanks in advance.

'That byte' is represented with a b'' in front, indicating that it is a byte object. To get rid of it, you can convert it to an int:
thatbyte = b'\xd3'
byteint = thatbyte[0] # or
int.from_bytes(thatbyte, 'big') # 'big' or 'little' endian, which results in the same when converting a single byte
To compare, you can do:
thatbyte == b'\xd3'
Thus compare a byte object with another byte object.
The shift << operator works on int only
To convert an int back to bytes (assuming it is [0..255]) you can use:
bytes([byteint]) # note the extra brackets!
And as for improvements, I would suggest to read the whole binary file at once:
with open("COM6_200417.ubx", "rb") as f:
allbytes = f.read() # read all
for val in allbytes:
# Do stuff with val, val is int !!!
print(bytes([val]))

Encoding a file with ord function

I'm trying to encode a file and output the encode into a new file, but I got this error:
TypeError: ord() expected string of length 1, but int found
My code:
from sys import argv, exit
def encode(data):
encoded = ''
while data:
current = data[0]
count = 1
for i in data[1:]:
if i == current:
count += 1
else:
break
if count == 255:
break
encoded += '{}{}'.format(chr(ord(current) & 255), chr(count & 255)) #error occurs here.
data = data[count:]
return encoded
if __name__ == '__main__':
if len(argv) < 2:
print('Please specify input file!')
exit(0)
with open(argv[1], 'rb') as (f):
data = f.read()
with open(argv[1] + '.out', 'wb') as (f):
f.write(encode(data))
Additional question: How do I decode the encoded file?

You are reading bytes (open(..., 'rb')), so when you take one element of the byte string, you get a byte, ie. a number. This number already is the character code, so just leave out the ord. Alternatively, you could open the file without the b modifier (open(..., 'r')), which will return a string; I would advise to keep it as a byte string though (or you could run into encoding issues if you are parsing something non-ascii).
You will run into a similar problem saving your file: you cannot write a string into a file opened with the b modifier. Since you have characters outside the ascii range (>128), writing as a string is not a good idea, since python will try to encode your characters (eg. in UTF-8), and you will end up with completely different bytes. Therefore, the best solution probably is not to concat your data to a string in your loop (the part where you do '{}{}'.format(...), but to have a list (encoded = [], concat with encoded.append(current)) and convert that to a byte string using bytes(encoded) after your loop. You can then pass that to write without a problem.
As for how to decode your file, you can just open the file like you do for encoding, read two bytes b1 and b2, and append [b1]*b2 to your output (again, as a list), and convert that to a byte string with bytes().

Convertion between ISO-8859-2 and UTF-8 in Python

I'm wondering how can I convert ISO-8859-2 (latin-2) characters (I mean integer or hex values that represents ISO-8859-2 encoded characters) to UTF-8 characters.
What I need to do with my project in python:
Receive hex values from serial port, which are characters encoded in ISO-8859-2.
Decode them, this is - get "standard" python unicode strings from them.
Prepare and write xml file.
Using Python 3.4.3
txt_str = "ąęłóźć"
txt_str.decode('ISO-8859-2')
Traceback (most recent call last): File "<stdin>", line 1, in <module>
AttributeError: 'str' object has no attribute 'decode'
The main problem is still to prepare valid input for the "decode" method (it works in python 2.7.10, and thats the one I'm using in this project). How to prepare valid string from decimal value, which are Latin-2 code numbers?
Note that it would be uber complicated to receive utf-8 characters from serial port, thanks to devices I'm using and communication protocol limitations.
Sample data, on request:
68632057
62206A75
7A647261
B364206F
20616775
777A616E
616A2061
6A65696B
617A20B6
697A7970
6A65B361
70697020
77F36469
62202C79
6E647572
75206A65
7963696C
72656D75
6A616E20
73726F67
206A657A
65647572
77207972
73772065
00000069
This is some sample data. ISO-8859-2 pushed into uint32, 4 chars per int.
bit of code that manages unboxing:
l = l[7:].replace(",", "").replace(".", "").replace("\n","").replace("\r","") # crop string from uart, only data left
vl = [l[0:2], l[2:4], l[4:6], l[6:8]] # list of bytes
vl = vl[::-1] # reverse them - now in actual order
To get integer value out of hex string I can simply use:
int_vals = [int(hs, 16) for hs in vl]

Your example doesn't work because you've tried to use a str to hold bytes. In Python 3 you must use byte strings.
In reality, if you're using PySerial then you'll be reading byte strings anyway, which you can convert as required:
with serial.Serial('/dev/ttyS1', 19200, timeout=1) as ser:
s = ser.read(10)
# Py3: s == bytes
# Py2.x: s == str
my_unicode_string = s.decode('iso-8859-2')
If your iso-8895-2 data is actually then encoded to ASCII hex representation of the bytes, then you have to apply an extra layer of encoding:
with serial.Serial('/dev/ttyS1', 19200, timeout=1) as ser:
hex_repr = ser.read(10)
# Py3: hex_repr == bytes
# Py2.x: hex_repr == str
# Decodes hex representation to bytes
# Eg. b"A3" = b'\xa3'
hex_decoded = codecs.decode(hex_repr, "hex")
my_unicode_string = hex_decoded.decode('iso-8859-2')
Now you can pass my_unicode_string to your favourite XML library.

Interesting sample data. Ideally your sample data should be a direct print of the raw data received from PySerial. If you actually are receiving the raw bytes as 8-digit hexadecimal values, then:
#!python3
from binascii import unhexlify
data = b''.join(unhexlify(x)[::-1] for x in b'''\
68632057
62206A75
7A647261
B364206F
20616775
777A616E
616A2061
6A65696B
617A20B6
697A7970
6A65B361
70697020
77F36469
62202C79
6E647572
75206A65
7963696C
72656D75
6A616E20
73726F67
206A657A
65647572
77207972
73772065
00000069'''.splitlines())
print(data.decode('iso-8859-2'))
Output:
W chuj bardzo długa nazwa jakiejś zapyziałej pipidówy, brudnej ulicyumer najgorszej rudery we wsi
Google Translate of Polish to English:
The dick very long name some zapyziałej Small Town , dirty ulicyumer worst hovel in the village

This topic is closed. Working code, that handles what need to be done:
x=177
x.to_bytes(1, byteorder='big').decode("ISO-8859-2")

Python: ValueError: could not convert string to float: '0'

For some school assignments I've been trying to get pyplot to plot some scientific graphs based on data from Logger Pro for me. I'm met with the error
ValueError: could not convert string to float: '0'
This is the program:
plot.py
-------------------------------
import matplotlib.pyplot as plt
import numpy as np
infile = open('text', 'r')
xs = []
ys = []
for line in infile:
print (type(line))
x, y = line.split()
# print (x, y)
# print (type(line), type(x), type(y))
xs.append(float(x))
ys.append(float(y))
xs.sort()
ys.sort()
plt.plot(xs, ys, 'bo')
plt.grid(True)
# print (xs, ys)
plt.show()
infile.close()
And the input file is containing this:
text
-------------------------------
0 1.33
1 1.37
2 1.43
3 1.51
4 1.59
5 1.67
6 1.77
7 1.86
8 1.98
9 2.1
This is the error message I recieve when I'm running the program:
Traceback (most recent call last):
File "\route\to\the\file\plot01.py", line 36, in <module>
xs.append(float(x))
ValueError: could not convert string to float: '0'

You have a UTF-8 BOM in your data file; this is what my Python 2 interactive session states is being converted to a float:
>>> '0'
'\xef\xbb\xbf0'
The \xef\xbb\xbf bytes is a UTF-8 encoded U+FEFF ZERO WIDTH NO-BREAK SPACE, commonly used as a byte-order mark, especially by Microsoft products. UTF-8 has no byte order issues, the mark isn't required to record the byte ordering like you have to for UTF-16 or UTF-32; instead Microsoft uses it as an aid to detect encodings.
On Python 3, you could open the file using the utf-8-sig codec; this codec expects the BOM at the start and will remove it:
infile = open('text', 'r', encoding='utf-8-sig')
On Python 2, you could use the codecs.BOM_UTF8 constant to detect and strip;
for line in infile:
if line.startswith(codecs.BOM_UTF8):
line = line[len(codecs.BOM_UTF8):]
x, y = line.split()
As the codecs documentation explains it:
As UTF-8 is an 8-bit encoding no BOM is required and any U+FEFF character in the decoded string (even if it’s the first character) is treated as a ZERO WIDTH NO-BREAK SPACE.
Without external information it’s impossible to reliably determine which encoding was used for encoding a string. Each charmap encoding can decode any random byte sequence. However that’s not possible with UTF-8, as UTF-8 byte sequences have a structure that doesn’t allow arbitrary byte sequences. To increase the reliability with which a UTF-8 encoding can be detected, Microsoft invented a variant of UTF-8 (that Python 2.5 calls "utf-8-sig") for its Notepad program: Before any of the Unicode characters is written to the file, a UTF-8 encoded BOM (which looks like this as a byte sequence: 0xef, 0xbb, 0xbf) is written. As it’s rather improbable that any charmap encoded file starts with these byte values (which would e.g. map to
LATIN SMALL LETTER I WITH DIAERESIS
RIGHT-POINTING DOUBLE ANGLE QUOTATION MARK
INVERTED QUESTION MARK
in iso-8859-1), this increases the probability that a utf-8-sig encoding can be correctly guessed from the byte sequence. So here the BOM is not used to be able to determine the byte order used for generating the byte sequence, but as a signature that helps in guessing the encoding. On encoding the utf-8-sig codec will write 0xef, 0xbb, 0xbf as the first three bytes to the file. On decoding utf-8-sig will skip those three bytes if they appear as the first three bytes in the file. In UTF-8, the use of the BOM is discouraged and should generally be avoided.

Convert binary data to web-safe text and back - Python

I want to convert a binary file (such as a jpg, mp3, etc) to web-safe text and then back into binary data. I've researched a few modules and I think I'm really close but I keep getting data corruption.
After looking at the documentation for binascii I came up with this:
from binascii import *
raw_bytes = open('test.jpg','rb').read()
text = b2a_qp(raw_bytes,quotetabs=True,header=False)
bytesback = a2b_qp(text,header=False)
f = open('converted.jpg','wb')
f.write(bytesback)
f.close()
When I try to open the converted.jpg I get data corruption :-/
I also tried using b2a_base64 with 57-long blocks of binary data. I took each block, converted to a string, concatenated them all together, and then converted back in a2b_base64 and got corruption again.
Can anyone help? I'm not super knowledgeable on all the intricacies of bytes and file formats. I'm using Python on Windows if that makes a difference with the \r\n stuff

Your code looks quite complicated. Try this:
#!/usr/bin/env python
from binascii import *
raw_bytes = open('28.jpg','rb').read()
i = 0
str_one = b2a_base64(raw_bytes) # 1
str_list = b2a_base64(raw_bytes).split("\n") #2
bytesBackAll = a2b_base64(''.join(str_list)) #2
print bytesBackAll == raw_bytes #True #2
bytesBackAll = a2b_base64(str_one) #1
print bytesBackAll == raw_bytes #True #1
Lines tagged with #1 and #2 represent alternatives to each other. #1 seems most straightforward to me - just make it one string, process it and convert it back.

You should use base64 encoding instead of quoted printable. Use b2a_base64() and a2b_base64().
Quoted printable is much bigger for binary data like pictures. In this encoding each binary (non alphanumeric character) code is changed into =HEX. It can be used for texts that consist mainly of alphanumeric like email subjects.
Base64 is much better for mainly binary data. It takes 6 bites of first byte, then last 2 bits of 1st byte and 4 bites from 2nd byte. etc. It can be recognized by = padding at the end of the encoded text (sometimes other character is used).
As an example I took .jpeg of 271 700 bytes. In qp it is 627 857 b while in base64 it is 362 269 bytes. Size of qp is dependent of data type: text which is letters only do not change. Size of base64 is orig_size * 8 / 6.

Your documentation reference is for Python 3.0.1. There is no good reason using Python 3.0. You should be using 3.2 or 2.7. What exactly are you using?
Suggestion: (1) change bytes to raw_bytes to avoid confusion with the bytes built-in (2) check for raw_bytes == bytes_back in your test script (3) while your test should work with quoted-printable, it is very inefficient for binary data; use base64 instead.
Update: Base64 encoding produces 4 output bytes for every 3 input bytes. Your base64 code doesn't work with 56-byte chunks because 56 is not an integral multiple of 3; each chunk is padded out to a multiple of 3. Then you join the chunks and attempt to decode, which is guaranteed not to work.
Your chunking loop would be much better written as:
output_string = ''.join(
b2a_base64(raw_bytes[i:i+57]) for i in xrange(0, xrange(len(raw_bytes), 57)
)
In any case, chunking is rather slow and pointless; just do b2a_base64(raw_bytes)

#PMC's answer copied from the question:
Here's what works:
from binascii import *
raw_bytes = open('28.jpg','rb').read()
str_list = []
i = 0
while i < len(raw_bytes):
byteSegment = raw_bytes[i:i+57]
str_list.append(b2a_base64(byteSegment))
i += 57
bytesBackAll = a2b_base64(''.join(str_list))
print bytesBackAll == raw_bytes #True
Thanks for the help guys. I'm not sure why this would fail with [0:56] instead of [0:57] but I'll leave that as an exercise for the reader :P