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array_split python package Build Status Documentation Status Coveralls Status MIT License array_split python package

The array_split python package is a modest enhancement to the numpy.array_split function for sub-dividing multi-dimensional arrays into sub-arrays (slices). The main motivation comes from parallel processing where one desires to split (decompose) a large array (or multiple arrays) into smaller sub-arrays which can be processed concurrently by other processes (multiprocessing or mpi4py) or other memory-limited hardware (e.g. GPGPU using pyopencl, pycuda, etc).

Quick Start Example

>>> from array_split import array_split, shape_split
>>> import numpy as np
>>>
>>> ary = np.arange(0, 4*9)
>>>
>>> array_split(ary, 4) # 1D split into 4 sections (like numpy.array_split)
[array([0, 1, 2, 3, 4, 5, 6, 7, 8]),
 array([ 9, 10, 11, 12, 13, 14, 15, 16, 17]),
 array([18, 19, 20, 21, 22, 23, 24, 25, 26]),
 array([27, 28, 29, 30, 31, 32, 33, 34, 35])]
>>>
>>> shape_split(ary.shape, 4) # 1D split into 4 sections, slice objects instead of numpy.ndarray views
array([(slice(0, 9, None),), (slice(9, 18, None),), (slice(18, 27, None),), (slice(27, 36, None),)],
      dtype=[('0', 'O')])
>>>
>>> ary = ary.reshape(4, 9) # Make ary 2D
>>> split = shape_split(ary.shape, axis=(2, 3)) # 2D split into 2*3=6 sections
>>> split.shape
(2, 3)
>>> split
array([[(slice(0, 2, None), slice(0, 3, None)),
        (slice(0, 2, None), slice(3, 6, None)),
        (slice(0, 2, None), slice(6, 9, None))],
       [(slice(2, 4, None), slice(0, 3, None)),
        (slice(2, 4, None), slice(3, 6, None)),
        (slice(2, 4, None), slice(6, 9, None))]],
      dtype=[('0', 'O'), ('1', 'O')])
>>> sub_arys = [ary[tup] for tup in split.flatten()] # Split ary into sub-array views using the slice tuples.
>>> sub_arys
[array([[ 0,  1,  2], [ 9, 10, 11]]),
 array([[ 3,  4,  5], [12, 13, 14]]),
 array([[ 6,  7,  8], [15, 16, 17]]),
 array([[18, 19, 20], [27, 28, 29]]),
 array([[21, 22, 23], [30, 31, 32]]),
 array([[24, 25, 26], [33, 34, 35]])]

Latest sphinx documentation examples at http://array-split.readthedocs.io/en/latest/examples/.

Installation

Using pip:

pip install array_split # with root access

or:

pip install --user array_split # no root/sudo permissions required

From latest github source:

git clone https://github.com/array-split/array_split.git
cd array_split
python setup.py install --user

Requirements

Requires numpy version >= 1.6, python-2 version >= 2.6 or python-3 version >= 3.2.

Testing

Run tests (unit-tests and doctest module docstring tests) using:

python -m array_split.tests

or, from the source tree, run:

python setup.py test

Travis CI at:

Documentation

Latest sphinx generated documentation is at:

Latest source code

Source at github:

License information

See the file LICENSE.txt for terms & conditions, for usage and a DISCLAIMER OF ALL WARRANTIES.