Note: this function is available on GitHub where you can fork your own version. If working with 16, 32, or 64-bit values simply specify that as such: hex_to_binary("123abc", 16). The num_digits is set to a default length of 8, such that one might easily work with 8-bit values.
This function takes two arguments: the hexadecimal value and a num_digits argument representing the minimum length of the returned binary value. Return str(bin(int(hex_number, 16))).zfill(num_digits) String representation of a binary number 0-padded Num_digits: integer value for length of binary value. Still, the syntax is clunky enough that it can prove beneficial to wrap everything up in a nice function, as seen below: def hex_to_binary(hex_number: str, num_digits: int = 8) -> str:Ĭonverts a hexadecimal value into a string representation The approach to convert a hexadecimal value into a binary value in Python is simple enough. The original string is returned if width is less than or equal to len(s). A leading sign prefix ( '+'/ '-') is handled by inserting the padding after the sign character rather than before. Return a copy of the string left filled with ASCII '0' digits to make a string of length width. That’s looking better! Python’s zfill function will add 0’s to a string if that string is less than the specified value in length. This can be accomplished using the builtin zfill() method of Python strings in conjunction with what we’ve already got: # Define a hexadecimal valueīinary_value = str(bin(int_value)).zfill(8) That means 8 digital places for 127 and 8 for 0. Let’s say we’re working with 8-bit numbers and want to ensure all are displayed with a uniform number of bits. That’s because, by default, Python will display only enough digits to represent the most significant bit (MSB) and omit any leading 0’s. That’s looking closer to what most representations of binary numbers resemble, but there are only 5 digits.
That can be remedied by converting to a string and slicing from the second character onward like so: # Define a hexadecimal value For starters, the 0b prefix might be too annoying to stick around. This gives us a binary object, with a binary value, but might not be what we’re looking for exactly. To do this, we take advantage of the functionality of Python’s int data type and it’s acceptance of base value specifications. We must first convert the string to an integer value. This signals that Python cannot convert a string value to a binary value directly. > TypeError: 'str' object cannot be interpreted as an integer For example: # Define a hexadecimal value However, in the case that hexadecimal values include alphabetical characters (thus interpreted as a string) there’s an intermediate conversion that is required. Python’s bin method converts an integer value into a binary value object. Below are several ways to convert hexadecimal values into Binary numbers in Python: 1. Python is one of the world’s most popular programming languages for good reason: it can handle nearly everything-or at least find ways to accommodate. Note: The values are all interpreted as integers ultimately, but converting to binary can help during the design and debug phase of many low-level applications.Ĭache design may be a poor example given the context of Python, but the utility is still here. For example, mapped caches may use hexadecimal memory address values to calculate set number, index number, and offset values in binary form. When working with hexadecimal and binary data, one might find the need to convert from one to another. Binary values are the basis for computer numerical representation but hexadecimal values let us represent larger values more conveniently, at least in most cases. Each of these stores data in ways that can be especially useful in certain contexts. base 2 numbers) are much easier to remember. base 16 numbers) consist of characters in the range of 1-9 and a-f.
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