This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
Help us improve Python packaging - Donate today!
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.


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?
>>>, B), C), D)  # doctest: +SKIP
>>> # Or this?
>>>  # doctest: +SKIP
>>> # Use multi_dot
>>> multi_dot([A, B, C, D])  # doctest: +SKIP
  • TODO along, maxalong, minalong, sumalong, meanalong, stdalong, varalong


Run the tests

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


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
Release History

Release History


This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

Donec et mollis dolor. Praesent et diam eget libero egestas mattis sit amet vitae augue. Nam tincidunt congue enim, ut porta lorem lacinia consectetur. Donec ut libero sed arcu vehicula ultricies a non tortor. Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Show More

Download Files

Download Files

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

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
nphelper-0.0.5.tar.gz (7.6 kB) Copy SHA256 Checksum SHA256 Source Jan 4, 2016

Supported By

WebFaction WebFaction Technical Writing Elastic Elastic Search Pingdom Pingdom Monitoring Dyn Dyn DNS Sentry Sentry Error Logging CloudAMQP CloudAMQP RabbitMQ Heroku Heroku PaaS Kabu Creative Kabu Creative UX & Design Fastly Fastly CDN DigiCert DigiCert EV Certificate Rackspace Rackspace Cloud Servers DreamHost DreamHost Log Hosting