Metadata-Version: 2.3
Name: pydtfe
Version: 2.1
Summary: A package that performs the Delaunay Tesselation Field Estimator (DTFE) in 2D and 2D.
Project-URL: Homepage, https://github.com/vicbonj/pydtfe
Author-email: Victor Bonjean <victor.bonjean40@gmail.com>
License-File: LICENSE.txt
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown

[![DOI](https://zenodo.org/badge/76566234.svg)](https://zenodo.org/badge/latestdoi/76566234) [![Build Status](https://travis-ci.org/vicbonj/pydtfe.svg?branch=master)](https://travis-ci.org/vicbonj/pydtfe) [![Code Health](https://landscape.io/github/vicbonj/density/master/landscape.svg?style=flat)](https://landscape.io/github/vicbonj/density/master)

# density maps 2d

Author: Victor Bonjean

Mail: victor.bonjean40@gmail.com

- This is the seconde relase of pyDTFE, 100 times faster than the previous version -

A code to perform very easily and quickly density maps in 2d or in density cubes in 3d with a distribution of points in inputs, using the Delaunay Tesselation Field Estimator (PhD thesis: Schaap, W. E. (2007). DTFE: the Delaunay Tessellation Field Estimator s.n.), and scipy (http://www.scipy.org/).


- use "git clone https://github.com/vicbonj/pydtfe.git" in the folder you want
- cd pydtfe/
- run "python setup.py install" to install the code
- you can play with the notebook tutorial runnin the command "jupyter-notebook Density_map_2d.ipynb"
- test the examples and create your own maps or cubes with your own distributions of points !


--- In terms of compatibility, it's better to have the environment Anaconda (https://anaconda.org) installed on your computer, either 2.7 or 3.6. Otherwise, there is a requirements.txt ---
