Modelling and analyzing random nanowire networks in Python.
Project description
Random NWNs ![Tests](https://pypi-camo.freetls.fastly.net/cd884099d1f4360644a29f0be4168fe006f75da2/68747470733a2f2f6769746875622e636f6d2f6d61726375732d6b2f52616e646f6d2d4e574e732f616374696f6e732f776f726b666c6f77732f707974686f6e2d7061636b6167652e796d6c2f62616467652e737667)
Python package for modelling and analyzing random nanowire networks. This package was a summer research project lasting from May 2021 to August 2021 under the supervision of Dr. Claudia Gomes da Rocha.
For future additions, feel free to fork the repository, but please give credit where it's due, either here or to Marcus Kasdorf.
Table of Contents
Installation
Random NWNs can be installed from PyPI for quick use or installed manually for development.
Latest
The latest version can be installed from PyPI:
pip install randomnwn
Development
For convenience, one can use the environment.yml
file with Anaconda to create a new
virtual environment with all the required dependencies.
conda env create -f environment.yml
This will create a new environment named randomnwn
. To activate the environment, use:
conda activate randomnwn
Then, to install the package, use pip. One can install the package in the usual way above, or install it in editable mode to allow for local development. Navigate to the base folder and run:
pip install -e .
Usage
Nanowire network objects are simply NetworkX graphs with various attributes stored in the graph, edges, and nodes.
>>> import randomnwn as rnwn
>>> NWN = rnwn.create_NWN(seed=123)
>>> NWN
<networkx.classes.graph.Graph at 0x...>
>>> rnwn.plot_NWN(NWN)
(<Figure size 800x600 with 1 Axes>, <AxesSubplot:>)
See the wiki pages for more detail on usage.
Uninstallation
To uninstall the package, use:
pip uninstall randomnwn
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