5 Best Ways to Convert Python Bytes to Hex Array

πŸ’‘ Problem Formulation:

Converting bytes to a hex array is a common task when dealing with byte manipulation or encoding in Python. For instance, when working with binary data from files or network streams, one may need to represent the data as an array of hexadecimal strings for readability or further processing. Given an input of bytes, like b'\xf0\xf1\xf2', the desired output is an array of hex strings like ['f0', 'f1', 'f2'].

Method 1: Using binascii.hexlify() and List Comprehension

This method leverages the binascii module’s hexlify() function to convert bytes to a hex string and then creates a hex array using list comprehension. It is straightforward and efficient for converting bytes objects.

Here’s an example:

import binascii

def bytes_to_hex_array(byte_data):
    hex_str = binascii.hexlify(byte_data).decode()
    return [hex_str[i:i+2] for i in range(0, len(hex_str), 2)]

byte_data = b'\xf0\xf1\xf2'
hex_array = bytes_to_hex_array(byte_data)
print(hex_array)

Output: ['f0', 'f1', 'f2']

This code snippet first converts the bytes to a hex string using hexlify() and then decodes it to a standard string. List comprehension is used to split the string into an array of two-character hex values, matching the expected format.

Method 2: Using .hex() Method and List Comprehension

Python’s bytes object has a built-in .hex() method that converts bytes directly to a hex string. Coupled with list comprehension, it is one of the most intuitive and Pythonic ways to produce a hex array.

Here’s an example:

def bytes_to_hex_array(byte_data):
    return [byte_data[i:i+1].hex() for i in range(len(byte_data))]

byte_data = b'\xf0\xf1\xf2'
hex_array = bytes_to_hex_array(byte_data)
print(hex_array)

Output: ['f0', 'f1', 'f2']

This function iterates over each individual byte and uses the .hex() method to convert it to a hex string, resulting in a clean and concise conversion to a hex array.

Method 3: Using format() Function in a Loop

The format() function is used to format each byte as a hex string while iterating over the byte data. This method gives you control over the output format.

Here’s an example:

def bytes_to_hex_array(byte_data):
    return [format(b, '02x') for b in byte_data]

byte_data = b'\xf0\xf1\xf2'
hex_array = bytes_to_hex_array(byte_data)
print(hex_array)

Output: ['f0', 'f1', 'f2']

By using the format() function with the format specifier ’02x’, each byte is converted into a two-character hex string, which is then collected into an array.

Method 4: Using bytearray() and map() Function

This method takes advantage of the bytearray() type and the map() function, applying a formatting operation to each byte to create the hex array.

Here’s an example:

def bytes_to_hex_array(byte_data):
    return list(map(lambda b: format(b, '02x'), bytearray(byte_data)))

byte_data = b'\xf0\xf1\xf2'
hex_array = bytes_to_hex_array(byte_data)
print(hex_array)

Output: ['f0', 'f1', 'f2']

The bytearray() creates a mutable array of bytes, and map() iterates over each element, with the lambda function formatting each byte to a two-character hex string. The result is converted to a list to match the desired array output.

Bonus One-Liner Method 5: Using List Comprehension with hex() and Slicing

For a quick one-liner, this method utilizes list comprehension to format and slice the hex representation of the bytes object.

Here’s an example:

byte_data = b'\xf0\xf1\xf2'
hex_array = [hex(b)[2:].zfill(2) for b in byte_data]
print(hex_array)

Output: ['f0', 'f1', 'f2']

The code uses a list comprehension where hex() converts each byte to a hex string, [2:] slices off the ‘0x’ prefix, and zfill(2) ensures each hex string has two characters, resulting in the concise conversion to a hex array.

Summary/Discussion

  • Method 1: binascii.hexlify() Method. Strengths: Utilizes a standard library specifically for binary data encoding. Weaknesses: Can be less direct than using byte object’s built-in methods.
  • Method 2: .hex() Method with List Comprehension. Strengths: Straightforward and Pythonic with no additional modules needed. Weaknesses: May not be as familiar to newcomers.
  • Method 3: format() Function in a Loop. Strengths: Offers formatting control and is easy to understand. Weaknesses: Slightly more verbose than other list comprehension methods.
  • Method 4: bytearray() and map() Function. Strengths: Efficient for larger data sets with a functional programming style. Weaknesses: The use of map() can be less readable to those unfamiliar with functional programming concepts.
  • Bonus Method 5: One-Liner with List Comprehension and Slicing. Strengths: Very concise and performs the task in a single line. Weaknesses: Readability may suffer due to compactness, and zfill() may not be intuitive to all users.