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Randomdict

Python dictionaries with O(1) random element access.

Install / Use

/learn @robtandy/Randomdict
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

RandomDict Build Status##

What is it?

Random dict is a dictionary compatible with python's dict but with a few methods added to facilitate fast random access of elements. It inherits from collections.MutableMapping so it behaves exactly like a python dict, once created.

Why?

Python's dict data structure doesn't provide fast random access to elements. Existing ways are O(n) scaling, and get slow when the number of elements is large.

If you need to randomly access keys in a python dictionary, you have two choices out of the box:

  1. random.sample(the_dict, 1) or random.choice(list(the_dict)) both of these are O(n)
  2. the_dict.pop() This is O(1) but returns an arbitrary, rather than strictly random item. The order of items returned depends on the underlying implentation of the dictionary.

If you need random key access and cannot afford the time penalty of the above methods, then randomdict is probably what you are looking for.

Installation

randomdict works and is tested on python2.6+, python3.2+

pip install randomdict

How do i use it?

Other than creating one, use it just like a python dict.

    from randomdict import RandomDict
    
    r = RandomDict() # use it just like a regular python dict
    r['a'] = True
    r['b'] = 2

    print r.random_key()
    print r.random_value()
    print r.random_item()

How slow was getting a random item anyway?

The following timings where done on python 2.7.3 with ipython:

    In [24]: r = randomdict.RandomDict()

    In [25]: for i in range(10000000): r[i] = random.random()

    In [26]: %timeit random.sample(r,1)
    10 loops, best of 3: 162 ms per loop

    In [27]: %timeit r.random_key()
    1000000 loops, best of 3: 1.74 µs per loop

View on GitHub
GitHub Stars60
CategoryDevelopment
Updated6mo ago
Forks6

Languages

Python

Security Score

77/100

Audited on Oct 7, 2025

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