I am trying to convert a number stored as a list of ints to a float type. I got the number via a serial console and want to reassemble it back together into a float.
The way I would do it in C is something like this:
bit_data = ((int16_t)byte_array[0] << 8) | byte_array[1];
result = (float)bit_data;
What I tried to use in python is a much more simple conversion:
result = int_list[0]*256.0 + int_list[1]
However, this does not preserve the sign of the result, as the C code does.
What is the right way to do this in python?
UPDATE:
Python version is 2.7.3.
My byte array has a length of 2.
in the python code byte_array is list of ints. I've renamed it to avoid misunderstanding. I can not just use the float() function because it will not preserve the sign of the number.
I'm a bit confused by what data you have, and how it is represented in Python. As I understand it, you have received two unsigned bytes over a serial connection, which are now represented by a list of two python ints. This data represents a big endian 16-bit signed integer, which you want to extract and turn into a float. eg. [0xFF, 0xFE] -> -2 -> -2.0
import array, struct
two_unsigned_bytes = [255, 254] # represented by ints
byte_array = array.array("B", two_unsigned_bytes)
# change above to "b" if the ints represent signed bytes ie. in range -128 to 127
signed_16_bit_int, = struct.unpack(">h", byte_array)
float_result = float(signed_16_bit_int)
I think what you want is the struct module.
Here's a round trip snippet:
import struct
sampleValue = 42.13
somebytes = struct.pack('=f', sampleValue)
print(somebytes)
result = struct.unpack('=f', somebytes)
print(result)
result may be surprising to you. unpack returns a tuple. So to get to the value you can do
result[0]
or modify the result setting line to be
result = struct.unpack('=f', some bytes)[0]
I personally hate that, so use the following instead
result , = struct.unpack('=f', some bytes) # tuple unpacking on assignment
The second thing you'll notice is that the value has extra digits of noise. That's because python's native floating point representation is double.
(This is python3 btw, adjust for using old versions of python as appropriate)
I am not sure I really understand what you are doing, but I think you got 4 bytes from a stream and know them to represent a float32 value. The way you handling this suggests big-endian byte-order.
Python has the struct package (https://docs.python.org/2/library/struct.html) to handle bytestreams.
import struct
stream = struct.pack(">f", 2/3.)
len(stream) # 4
reconstructed_float = struct.unpack(">f", stream)
Okay, so I think int_list isn't really just a list of ints. The ints are constrained to 0-255 and represent bytes that can be built into a signed integer. You then want to turn that into a float. The trick is to set the sign of the first byte properly and then procede much like you did.
float((-(byte_array[0]-127) if byte_array[0]>127 else byte_array[0])*256 + byte_array[1])
Related
I apologise if this question has already been answered here. My searches have turned up similar questions but I have been unsuccessful in applying them to my situation.
I receive data via serial communication as two 16bit hexadecimal bytes. Now represented by two python integers. [48822, 15938]
These bytes represent a signed floating point variable. i.e. [48822, 15938]-->[0xbeb6, 0x3e42]-->[0x3e42beb6]-->[0.190181]
How would I complete this conversion in python3.4?
>>> import struct
>>> f = struct.unpack('f',struct.pack('HH', 48822,15938))[0]
>>> f
0.19018062949180603
>>>
You can use *lst to convert your list to parameters for struct.pack.
If you're getting a significant amount of data this way, you may want to consider using numpy. You can pack a buffer of dtype np.uint16 and view the contents directly as np.float32 without copying any data:
n = 1
buffer = np.zeros(2 * n, dtype=np.uint16)
floats = buffer.view(np.float32)
buffer[:2] = [48822, 15938]
print(floats)
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 want to get the value of 99997 in big endian which is (2642804992) and then return the answer as a long value
here is my code in python:
v = 99997
ttm = pack('>i', v) # change the integer to big endian form
print ("%x"), {ttm}
r = long(ttm, 16) # convert to long (ERROR)
return r
Output: %x set(['\x00\x01\x86\x9d'])
Error: invalid literal for long() with base 16: '\x00\x01\x86\x9d'
As the string is already in hex form why isn't it converting to a long? How would I remove this error and what is the solution to this problem.
pack will return a string representation of the data you provide.
The string representation is different than a base 16 of a long number. Notice the \x before each number.
Edit:
try this
ttm = pack('>I',v)
final, = unpack('<I',ttm)
print ttm
Notice the use of I, this so the number is treated as an unsigned value
You have to use struct.unpack as a reverse operation to struct.pack.
r, = unpack('<i', ttm)
this will r set to -1652162304.
You just converted the integer value to big endian binary bytes.
This is useful mostly to embed in messages addressed to big-endian machines (PowerPC, M68K,...)
Converting to long like this means parsing the ttm string which should be 0x1869D as ASCII.
(and the print statement does not work either BTW)
If I just follow your question title: "Convert hexadecimal string to long":
just use long("0x1869D",16). No need to serialize it.
(BTW long only works in python 2. In python 3, you would have to use int since all numbers are represented in the long form)
Well, I'm answering to explain why it's bound to fail, but I'll edit my answer when I really know what you want to do.
This is a nice question.
Here is what you are looking for.
s = str(ttm)
for ch in r"\bx'":
s = s.replace(ch, '')
print(int(s, 16))
The problem is that ttm is similar to a string in some aspects. This is what is looks like: b'\x00\x01\x86\x9d'. Supplying it to int (or long) keeps all the non-hex characters. I removed them and then it worked.
After removing the non-hex-digit chars, you are left with 0001869d which is indeed 99997
Comment I tried it on Python 3. But on Python 2 it will be almost the same, you won't have the b attached to the string, but otherwise it's the same thing.
The shortest ways I have found are:
n = 5
# Python 2.
s = str(n)
i = int(s)
# Python 3.
s = bytes(str(n), "ascii")
i = int(s)
I am particularly concerned with two factors: readability and portability. The second method, for Python 3, is ugly. However, I think it may be backwards compatible.
Is there a shorter, cleaner way that I have missed? I currently make a lambda expression to fix it with a new function, but maybe that's unnecessary.
Answer 1:
To convert a string to a sequence of bytes in either Python 2 or Python 3, you use the string's encode method. If you don't supply an encoding parameter 'ascii' is used, which will always be good enough for numeric digits.
s = str(n).encode()
Python 2: http://ideone.com/Y05zVY
Python 3: http://ideone.com/XqFyOj
In Python 2 str(n) already produces bytes; the encode will do a double conversion as this string is implicitly converted to Unicode and back again to bytes. It's unnecessary work, but it's harmless and is completely compatible with Python 3.
Answer 2:
Above is the answer to the question that was actually asked, which was to produce a string of ASCII bytes in human-readable form. But since people keep coming here trying to get the answer to a different question, I'll answer that question too. If you want to convert 10 to b'10' use the answer above, but if you want to convert 10 to b'\x0a\x00\x00\x00' then keep reading.
The struct module was specifically provided for converting between various types and their binary representation as a sequence of bytes. The conversion from a type to bytes is done with struct.pack. There's a format parameter fmt that determines which conversion it should perform. For a 4-byte integer, that would be i for signed numbers or I for unsigned numbers. For more possibilities see the format character table, and see the byte order, size, and alignment table for options when the output is more than a single byte.
import struct
s = struct.pack('<i', 5) # b'\x05\x00\x00\x00'
You can use the struct's pack:
In [11]: struct.pack(">I", 1)
Out[11]: '\x00\x00\x00\x01'
The ">" is the byte-order (big-endian) and the "I" is the format character. So you can be specific if you want to do something else:
In [12]: struct.pack("<H", 1)
Out[12]: '\x01\x00'
In [13]: struct.pack("B", 1)
Out[13]: '\x01'
This works the same on both python 2 and python 3.
Note: the inverse operation (bytes to int) can be done with unpack.
I have found the only reliable, portable method to be
bytes(bytearray([n]))
Just bytes([n]) does not work in python 2. Taking the scenic route through bytearray seems like the only reasonable solution.
Converting an int to a byte in Python 3:
n = 5
bytes( [n] )
>>> b'\x05'
;) guess that'll be better than messing around with strings
source: http://docs.python.org/3/library/stdtypes.html#binaryseq
In Python 3.x, you can convert an integer value (including large ones, which the other answers don't allow for) into a series of bytes like this:
import math
x = 0x1234
number_of_bytes = int(math.ceil(x.bit_length() / 8))
x_bytes = x.to_bytes(number_of_bytes, byteorder='big')
x_int = int.from_bytes(x_bytes, byteorder='big')
x == x_int
from int to byte:
bytes_string = int_v.to_bytes( lenth, endian )
where the lenth is 1/2/3/4...., and endian could be 'big' or 'little'
form bytes to int:
data_list = list( bytes );
When converting from old code from python 2 you often have "%s" % number this can be converted to b"%d" % number (b"%s" % number does not work) for python 3.
The format b"%d" % number is in addition another clean way to convert int to a binary string.
b"%d" % number
I want to convert an integer value to a string of hex values, in little endian. For example, 5707435436569584000 would become '\x4a\xe2\x34\x4f\x4a\xe2\x34\x4f'.
All my googlefu is finding for me is hex(..) which gives me '0x4f34e24a4f34e180' which is not what I want.
I could probably manually split up that string and build the one I want but I'm hoping somone can point me to a better option.
You need to use the struct module:
>>> import struct
>>> struct.pack('<Q', 5707435436569584000)
'\x80\xe14OJ\xe24O'
>>> struct.pack('<Q', 5707435436569584202)
'J\xe24OJ\xe24O'
Here < indicates little-endian, and Q that we want to pack a unsigned long long (8 bytes).
Note that Python will use ASCII characters for any byte that falls within the printable ASCII range to represent the resulting bytestring, hence the 14OJ, 24O and J parts of the above result:
>>> struct.pack('<Q', 5707435436569584202).encode('hex')
'4ae2344f4ae2344f'
>>> '\x4a\xe2\x34\x4f\x4a\xe2\x34\x4f'
'J\xe24OJ\xe24O'
I know it is an old thread, but it is still useful. Here my two cents using python3:
hex_string = hex(5707435436569584202) # '0x4f34e24a4f34e180' as you said
bytearray.fromhex(hex_string[2:]).reverse()
So, the key is convert it to a bytearray and reverse it.
In one line:
bytearray.fromhex(hex(5707435436569584202)[2:])[::-1] # bytearray(b'J\xe24OJ\xe24O')
PS: You can treat "bytearray" data like "bytes" and even mix them with b'raw bytes'
Update:
As Will points in coments, you can also manage negative integers:
To make this work with negative integers you need to mask your input with your preferred int type output length. For example, -16 as a little endian uint32_t would be bytearray.fromhex(hex(-16 & (2**32-1))[2:])[::-1], which evaluates to bytearray(b'\xf0\xff\xff\xff')