Skip to main content

Modelling and analyzing random nanowire networks in Python.

Project description

Random NWNs Tests

Python package for modelling and analyzing random nanowire networks. This package was a summer research project going from May 2021 to August 2021.

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

Download this repository, then navigate to the base folder and run:

pip install .

To install the package in editable mode instead (i.e. using the local project path), one can use:

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:>)

Figure_1

See the wiki pages for more detail on usage.

Uninstallation

To uninstall the package, use:

pip uninstall randomnwn

Project details


Download files

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

Source Distribution

randomnwn-0.2.4.tar.gz (15.7 kB view details)

Uploaded Source

Built Distribution

randomnwn-0.2.4-py3-none-any.whl (20.4 kB view details)

Uploaded Python 3

File details

Details for the file randomnwn-0.2.4.tar.gz.

File metadata

  • Download URL: randomnwn-0.2.4.tar.gz
  • Upload date:
  • Size: 15.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for randomnwn-0.2.4.tar.gz
Algorithm Hash digest
SHA256 a5c6fefb29be251010a14f1b313f94f05f733f73535e8d2101bbc2bcefa1e3f7
MD5 e31ea9008ca8a0598bd5dc96a2d1d68b
BLAKE2b-256 44b97e20a9ca224e52a3895fb63f499372212d27cb175298209420925cad7810

See more details on using hashes here.

File details

Details for the file randomnwn-0.2.4-py3-none-any.whl.

File metadata

  • Download URL: randomnwn-0.2.4-py3-none-any.whl
  • Upload date:
  • Size: 20.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for randomnwn-0.2.4-py3-none-any.whl
Algorithm Hash digest
SHA256 ca216d00bc2569fccaa9fd0e6e8d558f8bd74235f2c120ad6e16c22638e429b3
MD5 b13889ce8cda314a68580e7d217d6d0d
BLAKE2b-256 f6cf99dc4f268104e0591e2ac4a2742752a30316eb568462998aa87a42bde85f

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page