Byte Array to Hex String

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自闭症患者 2020-12-02 16:30

I have data stored in a byte array. How can I convert this data into a hex string?

Example of my byte array:

array_alpha = [ 133, 53, 234, 241 ]


        
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  • 2020-12-02 16:59

    Consider the hex() method of the bytes type on Python 3.5 and up:

    >>> array_alpha = [ 133, 53, 234, 241 ]
    >>> print(bytes(array_alpha).hex())
    8535eaf1
    

    EDIT: it's also much faster than hexlify (modified @falsetru's benchmarks above)

    from timeit import timeit
    N = 10000
    print("bytearray + hexlify ->", timeit(
        'binascii.hexlify(data).decode("ascii")',
        setup='import binascii; data = bytearray(range(255))',
        number=N,
    ))
    print("byte + hex          ->", timeit(
        'data.hex()',
        setup='data = bytes(range(255))',
        number=N,
    ))
    

    Result:

    bytearray + hexlify -> 0.011218150997592602
    byte + hex          -> 0.005952142993919551
    
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  • 2020-12-02 17:00

    Using str.format:

    >>> array_alpha = [ 133, 53, 234, 241 ]
    >>> print ''.join('{:02x}'.format(x) for x in array_alpha)
    8535eaf1
    

    or using format

    >>> print ''.join(format(x, '02x') for x in array_alpha)
    8535eaf1
    

    Note: In the format statements, the 02 means it will pad with up to 2 leading 0s if necessary. This is important since [0x1, 0x1, 0x1] i.e. (0x010101) would be formatted to "111" instead of "010101"

    or using bytearray with binascii.hexlify:

    >>> import binascii
    >>> binascii.hexlify(bytearray(array_alpha))
    '8535eaf1'
    

    Here is a benchmark of above methods in Python 3.6.1:

    from timeit import timeit
    import binascii
    
    number = 10000
    
    def using_str_format() -> str:
        return "".join("{:02x}".format(x) for x in test_obj)
    
    def using_format() -> str:
        return "".join(format(x, "02x") for x in test_obj)
    
    def using_hexlify() -> str:
        return binascii.hexlify(bytearray(test_obj)).decode('ascii')
    
    def do_test():
        print("Testing with {}-byte {}:".format(len(test_obj), test_obj.__class__.__name__))
        if using_str_format() != using_format() != using_hexlify():
            raise RuntimeError("Results are not the same")
    
        print("Using str.format       -> " + str(timeit(using_str_format, number=number)))
        print("Using format           -> " + str(timeit(using_format, number=number)))
        print("Using binascii.hexlify -> " + str(timeit(using_hexlify, number=number)))
    
    test_obj = bytes([i for i in range(255)])
    do_test()
    
    test_obj = bytearray([i for i in range(255)])
    do_test()
    

    Result:

    Testing with 255-byte bytes:
    Using str.format       -> 1.459474583090427
    Using format           -> 1.5809937679100738
    Using binascii.hexlify -> 0.014521426401399307
    Testing with 255-byte bytearray:
    Using str.format       -> 1.443447684109402
    Using format           -> 1.5608712609513171
    Using binascii.hexlify -> 0.014114164661833684
    

    Methods using format do provide additional formatting options, as example separating numbers with spaces " ".join, commas ", ".join, upper-case printing "{:02X}".format(x)/format(x, "02X"), etc., but at a cost of great performance impact.

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  • 2020-12-02 17:06
    hex_string = "".join("%02x" % b for b in array_alpha)
    
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  • Or, if you are a fan of functional programming:

    >>> a = [133, 53, 234, 241]
    >>> "".join(map(lambda b: format(b, "02x"), a))
    8535eaf1
    >>>
    
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  • 2020-12-02 17:14

    If you have a numpy array, you can do the following:

    >>> import numpy as np
    >>> a = np.array([133, 53, 234, 241])
    >>> a.astype(np.uint8).data.hex()
    '8535eaf1'
    
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