Skip to main content

Generate Huffman codebooks

Project description

Generate Huffman codebooks! Huffman codes are the optimal way to compress individual symbols into a binary sequence that can be unambiguously decoded without inter-symbol separators (it is “prefix-free”).

Provided an iterable of 2-tuples in (symbol, weight) format, generate a Huffman codebook, returned as a dictionary in {symbol: code, ...} format.

>>> huffman.codebook([('A', 2), ('B', 4), ('C', 1), ('D', 1))
{'A': '10', 'B': '0', 'C': '110', 'D': '111'}

If you have an iterable of symbols, the collections.Counter is a handy way to tally them up.

>>> huffman.codebook(collections.Counter('man the stand banana man').items())
{' ': '111',
 'a': '10',
 'b': '0100',
 'd': '0110',
 'e': '11010',
 'h': '0101',
 'm': '1100',
 'n': '00',
 's': '11011',
 't': '0111'}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Filename, size & hash SHA256 hash help File type Python version Upload date
huffman-0.1.2-py2.py3-none-any.whl (4.6 kB) Copy SHA256 hash SHA256 Wheel py2.py3 Dec 21, 2016

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page