nphelper - convenient numpy helper functions

## Project description

This package contains some convenient helper function for numpy. Nothing fancy, but quite useful. It works with python 2.7, 3.4, and 3.5.

## Install

Simply install via `pip`:

pip install nphelper

`nphelper` only depends on `numpy`.

## Usage / Features

Create block arrays (in matlabs’s `[A A; B B]` spirit):

>>> from nphelper import block >>> A = np.array([[1, 2, 3]]) >>> B = np.array([[2, 3, 4]]) >>> C = np.ones((2, 6)) >>> block([[A, B], [C]]) array([[1, 2, 3, 2, 3, 4], [[1, 1, 1, 1, 1, 1], [[1, 1, 1, 1, 1, 1]])

Compute the cartesian product (similar to `itertools.product`):

>>> from nphelper import cartesian_product >>> cartesian_product([[1, 2], [3, 4]]) array([[1, 3], [1, 4], [2, 3], [2, 4]])

Easily multiply many arrays without the cubersome `dot` syntax. It’s also
much faster than dot because it selects the fastest evaluation order.
(This is part of numpy 1.10.0.)

>>> from nphelper import multi_dot >>> A = np.random.random((10000, 100)) >>> B = np.random.random((100, 1000)) >>> C = np.random.random((1000, 5)) >>> D = np.random.random((5, 333)) >>> # Sick of this? >>> np.dot(np.dot(np.dot(A, B), C), D) # doctest: +SKIP >>> # Or this? >>> A.dot(B).dot(C).dot(D) # doctest: +SKIP >>> # Use multi_dot >>> multi_dot([A, B, C, D]) # doctest: +SKIP

- TODO along, maxalong, minalong, sumalong, meanalong, stdalong, varalong

## Dev

### Run the tests

Run `tox` to run the tests for python 2.7, 3.4, and 3.5:

tox

You might have to install addiotional dependencies to run the tests:

- ``py.test``, - ``nose``, - ``python2.7-dev``, - ``python3.4-dev``, and - ``python3.5-dev``.

### Build the Docs

cd doc make html

You might have to install addiotional dependencies:

pip install sphinx sphinx_rtd_theme

## Project details

## Release history Release notifications

## Download files

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Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
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nphelper-0.0.5.tar.gz (7.6 kB) Copy SHA256 hash SHA256 | Source | None | Jan 4, 2016 |