I use python 3
I tried to write binary to file I use r+b.
for bit in binary:
fileout.write(bit)
where binary is a list that contain numbers.
How do I write this to file in binary?
The end file have to look like
b' x07\x08\x07\
Thanks
When you open a file in binary mode, then you are essentially working with the bytes type. So when you write to the file, you need to pass a bytes object, and when you read from it, you get a bytes object. In contrast, when opening the file in text mode, you are working with str objects.
So, writing “binary” is really writing a bytes string:
with open(fileName, 'br+') as f:
f.write(b'\x07\x08\x07')
If you have actual integers you want to write as binary, you can use the bytes function to convert a sequence of integers into a bytes object:
>>> lst = [7, 8, 7]
>>> bytes(lst)
b'\x07\x08\x07'
Combining this, you can write a sequence of integers as a bytes object into a file opened in binary mode.
As Hyperboreus pointed out in the comments, bytes will only accept a sequence of numbers that actually fit in a byte, i.e. numbers between 0 and 255. If you want to store arbitrary (positive) integers in the way they are, without having to bother about knowing their exact size (which is required for struct), then you can easily write a helper function which splits those numbers up into separate bytes:
def splitNumber (num):
lst = []
while num > 0:
lst.append(num & 0xFF)
num >>= 8
return lst[::-1]
bytes(splitNumber(12345678901234567890))
# b'\xabT\xa9\x8c\xeb\x1f\n\xd2'
So if you have a list of numbers, you can easily iterate over them and write each into the file; if you want to extract the numbers individually later you probably want to add something that keeps track of which individual bytes belong to which numbers.
with open(fileName, 'br+') as f:
for number in numbers:
f.write(bytes(splitNumber(number)))
where binary is a list that contain numbers
A number can have one thousand and one different binary representations (endianess, width, 1-complement, 2-complement, floats of different precision, etc). So first you have to decide in which representation you want to store your numbers. Then you can use the struct module to do so.
For example the byte sequence 0x3480 can be interpreted as 32820 (little-endian unsigned short), or -32716 (little-endian signed short) or 13440 (big-endian short).
Small example:
#! /usr/bin/python3
import struct
binary = [1234, 5678, -9012, -3456]
with open('out.bin', 'wb') as f:
for b in binary:
f.write(struct.pack('h', b)) #or whatever format you need
with open('out.bin', 'rb') as f:
content = f.read()
for b in content:
print(b)
print(struct.unpack('hhhh', content)) #same format as above
prints
210
4
46
22
204
220
128
242
(1234, 5678, -9012, -3456)
Related
I have a binary string representation of a byte, such as
01010101
How can I convert it to a real binary value and write it to a binary file?
Use the int function with a base of 2 to read a binary value as an integer.
n = int('01010101', 2)
Python 2 uses strings to handle binary data, so you would use the chr() function to convert the integer to a one-byte string.
data = chr(n)
Python 3 handles binary and text differently, so you need to use the bytes type instead. This doesn't have a direct equivalent to the chr() function, but the bytes constructor can take a list of byte values. We put n in a one element array and convert that to a bytes object.
data = bytes([n])
Once you have your binary string, you can open a file in binary mode and write the data to it like this:
with open('out.bin', 'wb') as f:
f.write(data)
I need to store and handle huge amounts of very long numbers, which are in range from 0 to f 64 times (ffffffffff.....ffff).
If I store these numbers in a file, I need 1 byte for each character (digit) + 2 bytes for \n symbol = up to 66 bytes. However to represent all possible numbers we need not more than 34 bytes (4 bits represent digits from 0 to f, therefore 4 [bits] * 64 [amount of hex digits]/8 [bits a in byte] = 32 bytes + \n, of course).
Is there any way to store the number without consuming excess memory?
So far I have created converter from hex (with 16 digits per symbol) to a number with base of 76 (hex + all letters and some other symbols), which reduces size of a number to 41 + 2 bytes.
You are trying to store 32 bytes long. Why not just store them as binary numbers? That way you need to store only 32 bytes per number instead of 41 or whatever. You can add on all sorts of quasi-compression schemes to take advantage of things like most of your numbers being shorter than 32 bytes.
If your number is a string, convert it to an int first. Python3 ints are basically infinite precision, so you will not lose any information:
>>> num = '113AB87C877AAE3790'
>>> num = int(num, 16)
>>> num
317825918024297625488
Now you can convert the result to a byte array and write it to a file opened for binary writing:
with open('output.bin', 'wb') as file:
file.write(num.to_bytes(32, byteorder='big'))
The int method to_bytes converts your number to a string of bytes that can be placed in a file. You need to specify the string length and the order. 'big' makes it easier to read a hex dump of the file.
To read the file back and decode it using int.from_bytes in a similar manner:
with open('output.bin', 'rb') as file:
bytes = file.read(32)
num = int.from_bytes(bytes, byteorder='big')
Remember to always include the b in the file mode, or you may run into unexpected problems if you try to read or write data with codes for \n in it.
Both the read and write operation can be looped as a matter of course.
If you anticipate storing an even distribution of numbers, then see Mad Physicist's answer. However, If you anticipate storing mostly small numbers but need to be able to store a few large numbers, then these schemes may also be useful.
If you only need to account for integers that are 255 or fewer bytes (2040 or fewer bits) in length, then simply convert the int to a bytes object and store the length in an additional byte, like this:
# This was only tested with non-negative integers!
def encode(num):
assert isinstance(num, int)
# Convert the number to a byte array and strip away leading null bytes.
# You can also use byteorder="little" and rstrip.
# If the integer does not fit into 255 bytes, an OverflowError will be raised.
encoded = num.to_bytes(255, byteorder="big").lstrip(b'\0')
# Return the length of the integer in the first byte, followed by the encoded integer.
return bytes([len(encoded)]) + encoded
def encode_many(nums):
return b''.join(encode(num) for num in nums)
def decode_many(byte_array):
assert isinstance(byte_array, bytes)
result = []
start = 0
while start < len(byte_array):
# The first byte contains the length of the integer.
int_length = byte_array[start]
# Read int_length bytes and decode them as int.
new_int = int.from_bytes(byte_array[(start+1):(start+int_length+1)], byteorder="big")
# Add the new integer to the result list.
result.append(new_int)
start += int_length + 1
return result
To store integers of (practically) infinite length, you can use this scheme, based on variable-length quantities in the MIDI file format. First, the rules:
A byte has eight bits (for those who don't know).
In each byte except the last, the left-most bit (the highest-order bit) will be 1.
The lower seven bits (i.e. all bits except the left-most bit) in each byte, when concatenated together, form an integer with a variable number of bits.
Here are a few examples:
0 in binary is 00000000. It can be represented in one byte without modification as 00000000.
127 in binary is 01111111. It can be represented in one byte without modification as 01111111.
128 in binary is 10000000. It must be converted to a two-byte representation: 10000001 00000000. Let's break that down:
The left-most bit in the first byte is 1, which means that it is not the last byte.
The left-most bit in the second byte is 0, which means that it is the last byte.
The lower seven bits in the first byte are 0000001, and the lower seven bits in the second byte are 0000000. Concatenate those together, and you get 00000010000000, which is 128.
173249806138790 in binary is 100111011001000111011101001001101111110110100110.
To store it:
First, split the binary number into groups of seven bits: 0100111 0110010 0011101 1101001 0011011 1111011 0100110 (a leading 0 was added)
Then, add a 1 in front of each byte except the last, which gets a 0: 10100111 10110010 10011101 11101001 10011011 11111011 00100110
To retrieve it:
First, drop the first bit of each byte: 0100111 0110010 0011101 1101001 0011011 1111011 0100110
You are left with an array of seven-bit segments. Join them together: 100111011001000111011101001001101111110110100110
When that is converted to decimal, you get 173,249,806,138,790.
Why, you ask, do we make the left-most bit in the last byte of each number a 0? Well, doing that allows you to concatenate multiple numbers together without using line breaks. When writing the numbers to a file, just write them one after another. When reading the numbers from a file, use a loop that builds an array of integers, ending each integer whenever it detects a byte where the left-most bit is 0.
Here are two functions, encode and decode, which convert between int and bytes in Python 3.
# Important! These methods only work with non-negative integers!
def encode(num):
assert isinstance(num, int)
# If the number is 0, then just return a single null byte.
if num <= 0:
return b'\0'
# Otherwise...
result_bytes_reversed = []
while num > 0:
# Find the right-most seven bits in the integer.
current_seven_bit_segment = num & 0b1111111
# Change the left-most bit to a 1.
current_seven_bit_segment |= 0b10000000
# Add that to the result array.
result_bytes_reversed.append(current_seven_bit_segment)
# Chop off the right-most seven bits.
num = num >> 7
# Change the left-most bit in the lowest-order byte (which is first in the list) back to a 0.
result_bytes_reversed[0] &= 0b1111111
# Un-reverse the order of the bytes and convert the list into a byte string.
return bytes(reversed(result_bytes_reversed))
def decode(byte_array):
assert isinstance(byte_array, bytes)
result = 0
for part in byte_array:
# Shift the result over by seven bits.
result = result << 7
# Add in the right-most seven bits from this part.
result |= (part & 0b1111111)
return result
Here are two functions for working with lists of ints:
def encode_many(nums):
return [encode(num) for num in nums]
def decode_many(byte_array):
parts = []
# Split the byte array after each byte where the left-most bit is 0.
start = 0
for i, b in enumerate(byte_array):
# Check whether the left-most bit in this byte is 0.
if not (b & 0b10000000):
# Copy everything up to here into a new part.
parts.append(byte_array[start:(i+1)])
start = i + 1
return [decode(part) for part in parts]
The densest possible way without knowing more about the numbers would be 256 bits per number (32 bytes).
You can store them right after one another.
A function to write to a file might look like this:
def write_numbers(numbers, file):
for n in numbers:
file.write(n.to_bytes(32, 'big'))
with open('file_name', 'wb') as f:
write_numbers(get_numbers(), f)
And to read the numbers, you can make a function like this:
def read_numbers(file):
while True:
read = file.read(32)
if not read:
break
yield int.from_bytes(read, 'big')
with open('file_name', 'rb') as f:
for n in read_numbers(f):
do_stuff(n)
I'm trying to write my "personal" python version of STL binary file reader, according to WIKIPEDIA : A binary STL file contains :
an 80-character (byte) headern which is generally ignored.
a 4-byte unsigned integer indicating the number of triangular facets in the file.
Each triangle is described by twelve 32-bit floating-point numbers: three for the normal and then three for the X/Y/Z coordinate of each vertex – just as with the ASCII version of STL. After these follows a 2-byte ("short") unsigned integer that is the "attribute byte count" – in the standard format, this should be zero because most software does not understand anything else. --Floating-point numbers are represented as IEEE floating-point numbers and are assumed to be little-endian--
Here is my code :
#! /usr/bin/env python3
with open("stlbinaryfile.stl","rb") as fichier :
head=fichier.read(80)
nbtriangles=fichier.read(4)
print(nbtriangles)
The output is :
b'\x90\x08\x00\x00'
It represents an unsigned integer, I need to convert it without using any package (struct,stl...). Are there any (basic) rules to do it ?, I don't know what does \x mean ? How does \x90 represent one byte ?
most of the answers in google mention "C structs", but I don't know nothing about C.
Thank you for your time.
Since you're using Python 3, you can use int.from_bytes. I'm guessing the value is stored little-endian, so you'd just do:
nbtriangles = int.from_bytes(fichier.read(4), 'little')
Change the second argument to 'big' if it's supposed to be big-endian.
Mind you, the normal way to parse a fixed width type is the struct module, but apparently you've ruled that out.
For the confusion over the repr, bytes objects will display ASCII printable characters (e.g. a) or standard ASCII escapes (e.g. \t) if the byte value corresponds to one of them. If it doesn't, it uses \x##, where ## is the hexadecimal representation of the byte value, so \x90 represents the byte with value 0x90, or 144. You need to combine the byte values at offsets to reconstruct the int, but int.from_bytes does this for you faster than any hand-rolled solution could.
Update: Since apparent int.from_bytes isn't "basic" enough, a couple more complex, but only using top-level built-ins (not alternate constructors) solutions. For little-endian, you can do this:
def int_from_bytes(inbytes):
res = 0
for i, b in enumerate(inbytes):
res |= b << (i * 8) # Adjust each byte individually by 8 times position
return res
You can use the same solution for big-endian by adding reversed to the loop, making it enumerate(reversed(inbytes)), or you can use this alternative solution that handles the offset adjustment a different way:
def int_from_bytes(inbytes):
res = 0
for b in inbytes:
res <<= 8 # Adjust bytes seen so far to make room for new byte
res |= b # Mask in new byte
return res
Again, this big-endian solution can trivially work for little-endian by looping over reversed(inbytes) instead of inbytes. In both cases inbytes[::-1] is an alternative to reversed(inbytes) (the former makes a new bytes in reversed order and iterates that, the latter iterates the existing bytes object in reverse, but unless it's a huge bytes object, enough to strain RAM if you copy it, the difference is pretty minimal).
The typical way to interpret an integer is to use struct.unpack, like so:
import struct
with open("stlbinaryfile.stl","rb") as fichier :
head=fichier.read(80)
nbtriangles=fichier.read(4)
print(nbtriangles)
nbtriangles=struct.unpack("<I", nbtriangles)
print(nbtriangles)
If you are allergic to import struct, then you can also compute it by hand:
def unsigned_int(s):
result = 0
for ch in s[::-1]:
result *= 256
result += ch
return result
...
nbtriangles = unsigned_int(nbtriangles)
As to what you are seeing when you print b'\x90\x08\x00\x00'. You are printing a bytes object, which is an array of integers in the range [0-255]. The first integer has the value 144 (decimal) or 90 (hexadecimal). When printing a bytes object, that value is represented by the string \x90. The 2nd has the value eight, represented by \x08. The 3rd and final integers are both zero. They are presented by \x00.
If you would like to see a more familiar representation of the integers, try:
print(list(nbtriangles))
[144, 8, 0, 0]
To compute the 32-bit integers represented by these four 8-bit integers, you can use this formula:
total = byte0 + (byte1*256) + (byte2*256*256) + (byte3*256*256*256)
Or, in hex:
total = byte0 + (byte1*0x100) + (byte2*0x10000) + (byte3*0x1000000)
Which results in:
0x00000890
Perhaps you can see the similarities to decimal, where the string "1234" represents the number:
4 + 3*10 + 2*100 + 1*1000
I am quite new in python and I need to solve this simple problem. Already there are several similar questions but still I cannot solve it.
I need to read a binary file, which is composed by several blocks of bytes. For example the header is composed by 6 bytes and I would like to extract those 6 bytes and transform ins sequence of binary characters like 000100110 011001 for example.
navatt_dir='C:/PROCESSING/navatt_read/'
navatt_filename='OSPS_FRMT_NAVATT____20130621T100954_00296_caseB.bin'
navatt_path=navatt_dir+navatt_filename
navatt_file=open(navatt_path, 'rb')
header=list(navatt_file.read(6))
print header
As result of the list i have the following
%run C:/PROCESSING/navatt_read/navat_read.py
['\t', 'i', '\xc0', '\x00', '\x00', 't']
which is not what i want.
I would like also to read a particular value in the binary file knowing the position and the length, without reading all the file. IS it possible
thanks
ByteArray
A bytearray is a mutable sequence of bytes (Integers where 0 ≤ x ≤ 255). You can construct a bytearray from a string (If it is not a byte-string, you will have to provide encoding), an iterable of byte-sized integers, or an object with a buffer interface. You can of course just build it manually as well.
An example using a byte-string:
string = b'DFH'
b = bytearray(string)
# Print it as a string
print b
# Prints the individual bytes, showing you that it's just a list of ints
print [i for i in b]
# Lets add one to the D
b[0] += 1
# And print the string again to see the result!
print b
The result:
DFH
[68, 70, 72]
EFH
This is the type you want if you want raw byte manipulation. If what you want is to read 4 bytes as a 32bit int, one would use the struct module, with the unpack method, but I usually just shift them together myself from a bytearray.
Printing the header in binary
What you seem to want is to take the string you have, convert it to a bytearray, and print them as a string in base 2/binary.
So here is a short example for how to write the header out (I read random data from a file named "dump"):
with open('dump', 'rb') as f:
header = f.read(6)
b = bytearray(header)
print ' '.join([bin(i)[2:].zfill(8) for i in b])
After converting it to a bytearray, I call bin() on every single one, which gives back a string with the binary representation we need, in the format of "0b1010". I don't want the "0b", so I slice it off with [2:]. Then, I use the string method zfill, which allows me to have the required amount of 0's prepended for the string to be 8 long (which is the amount of bits we need), as bin will not show any unneeded zeroes.
If you're new to the language, the last line might look quite mean. It uses list comprehension to make a list of all the binary strings we want to print, and then join them into the final string with spaces between the elements.
A less pythonic/convoluted variant of the last line would be:
result = []
for byte in b:
string = bin(i)[2:] # Make a binary string and slice the first two bytes
result.append(string.zfill(8)) # Append a 0-padded version to the results list
# Join the array to a space separated string and print it!
print ' '.join(result)
I hope this helps!
My input files could be arbitrary, and so I will use
f = open("in-file", 'rb')
The chunk size is about 4K Bytes, and so I will use
f.read(4096)
What I want to do is to read chunks by chunks from the file.
Moreover, as chunk is actually a $2^15$-bit (4KB) sequence, when reading a chunk, I need to transform it into a decimal value for further computation.
For example, if the first chunk is of form 0000...10, what I want is having another variable keeping the corresponding decimal value, eg., x=2.
From Convert string to list of bits and viceversa I know that its code can help me read chunks by chunks.
def tobits(s):
result = []
for c in s:
bits = bin(ord(c))[2:]
bits = '00000000'[len(bits):] + bits
result.extend([int(b) for b in bits])
return result
However, I don't know how to transform the output list into decimal value. Could someone give me some sample code? Thank you.
By referencing http://code.activestate.com/recipes/510399-byte-to-hex-and-hex-to-byte-string-conversion/ I found that the following code probably will run faster because it seems to be no arithmetic involved.
def ByteToHex( byteStr ):
return ''.join( [ "%02X " % ord( x ) for x in byteStr ] ).strip()
Therefore, the task of, for example, reading 2-byte chunks as decimal numbers can be accomplished by the following code:
in_file=open("in-file", "rb")
piece = in_file.read(2)
a=ByteToHex(piece)
a=int(a,16)
If I understand the question right, you want something like the following:
def bytes_to_long(bytes):
result = 0l
for c in bytes:
result *= 256
result += ord(c)
return result
That said, it's likely this is going to be somewhat slow, 4kB is a fairly big long and a lot of garbage ones are going to be created. You could probably improve this by using struct.unpack() and processing more than one byte per iteration, but then you have to deal with the right endianness and everything. On Python 3 you also probably don't need the ord() since it should return the bytes type from IO methods.