Metadata-Version: 2.1
Name: rdfpy
Version: 0.1.7
Summary: rdfpy is a Python package for computing 2D and 3D radial distribution functions.
Home-page: https://github.com/by256/rdfpy
Author: Batuhan Yildirim
Author-email: by256@cam.ac.uk
License: MIT
Description: # <img alt="rdfpy" src="./logo.png" height="60">
        
        **rdfpy** is a Python library for fast computation of 2D and 3D radial distribution functions.
        
        ## Installation
        
        ```shell
        $ pip install rdfpy
        ```
        
        ## Usage
        
        ```python
        import numpy as np
        from rdfpy import rdf3d
        
        particles = np.random.uniform(0.0, 20.0, size=(2500, 3))  # random particles in a 20x20x20 box
        
        g_r, radii = rdf3d(particles, dr=0.1)
        ```
        
        You can find a more detailed example in the [Documentation](https://rdfpy.readthedocs.io/).
        
        **Note:** In order for **rdfpy** to work correctly, your particles should spatially be in a cuboidal box, where the entire box is filled with particles.
        
        ## Authors
        
        **rdfpy** was developed by [Batuhan Yildirim](https://by256.github.io/) under the supervision of [Prof. Jacqueline M. Cole](https://www.phy.cam.ac.uk/directory/colej).
        
        ## Citation
        
        If you use **rdfpy** in your work, please cite:
        
        ```
        @software{rdfpy,
          author = {Batuhan Yildirim},
          title = {{rdfpy: a Python library for fast computation of 2D and 3D radial distribution functions}},
          month = jul,
          year = 2020,
          publisher = {Zenodo},
          version = {v0.1.7},
          doi = {10.5281/zenodo.4298486},
          url = {https://doi.org/10.5281/zenodo.4298486}
        }
        ```
        
        [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4298486.svg)](https://doi.org/10.5281/zenodo.4298486)
        
        ## Funding
        
        This project was financially supported by the [Science and Technology Facilities Council (STFC)](https://stfc.ukri.org/) and the [Royal Academy of Engineering](https://www.raeng.org.uk/) (RCSRF1819\7\10).
        
        ## License
        
        [![License](http://img.shields.io/:license-mit-blue.svg?style=flat-square)](http://badges.mit-license.org)
        
        
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
