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Radial Distribution Function

This package provides the radial distribution function to analyze the radial density of particles around other particles. The package provides a single function inner_rdf that calculates the RDF but excludes the border regions (as they would require n-dimensional intersection of shapes, which isn't computationally feasible).

A future version, if my short attention span permits it, will provide an rdf function that handles the 2D and 3D cases with the inclusion of the border regions.

Example

from radialdf import inner_rdf
import numpy as np
import plotly.graph_objs as go

# Generate 10000 random particles with 3 coordinates between 0 and 100
particles = np.random.rand(10000, 3) * 100
# Define a volume from 0 to 100 on 3 axes
box = [[0, 100]] * 3
# Check the radial distribution, which should be pretty boring and flat
g = inner_rdf(box, particles, 20, 0.2)
go.Figure(go.Scatter(x=[i * 0.2 for i in range(21)], y=g)).show()

Release files for radialdf 0.0.1

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Table of built distributions (wheels) for radialdf 0.0.1
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radialdf-0.0.1-py3-none-any.whl Python 3 none any Details

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