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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