jenkspy 0.1.1

Compute Natural Breaks (Jenks algorythm)

Compute “natural” break values (Jenks algorythm) on list/tuple/numpy.ndarray of integers/floats.

(Intented compatibility: CPython 2.7+ and 3.3+)

Usage :

>>> import random
>>> list_of_values = [random.random()*5000 for _ in range(12000)]

>>> import jenkspy
>>> breaks = jenkspy.jenks_breaks(list_of_values, nb_class=6)

>>> import json
>>> with open('test.json', 'r') as f:
...     data = json.loads(f.read())
...
>>> jenkspy.jenks_breaks(data, nb_class=5)
(0.0028109620325267315, 2.0935479691252112, 4.205495140049607, 6.178148351609707, 8.09175917180255, 9.997982932254672)

Installation :

pip install jenkspy

git clone http://github.com/mthh/jenkspy
cd jenkspy/
python setup.py install

Requirements (only for building from source):

• C compiler

• Python C headers

Motivation :

• Could be used as an eventual dependency in other package (using appveyor and travis to build wheels for easier installation via pip).

• Getting the break values! (and fast!)

• Other python implementations are currently existing.