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Python package for spherical array processing.

Project description

SPHARPY

Package for SPherical ARray processing in PYthon.

Getting Started

There is no stable release and therefore no binary distribution yet. Hence, the package needs to be installed from source.

Requirements

  • Python (>= 3.5 recommended)

  • Python packages: numpy, scipy, matplotlib, urllib3

Installation

The sources for spharpy can be downloaded from the git repository.

You can either clone the public repository

$ git clone git://git.rwth-aachen.de/mbe/spharpy

or download the code from the GitLab pages.

You can install it with:

$ python setup.py install

The required packages to install the package can be installed using pip:

$ pip install -r requirements.txt

When actively developing for the package it is recommended to install using the develop option:

$ python setup.py develop

The packages required for development, building the documentation, etc. can be installed using:

$ pip install -r requirements_dev.txt

Documentation

The documentation files are located inside the docs folder. The documentation can be generated using sphinx by running:

$ cd docs/
$ make html

Project details


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Source Distributions

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spharpy-0.3.3-py3-none-any.whl (39.1 kB view hashes)

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