Skip to main content

A pure-python port of the dftools R package.

Project description

pydftools

https://img.shields.io/pypi/v/pydftools.svg https://img.shields.io/travis/steven-murray/pydftools.svg Documentation Status

A pure-python port of the dftools R package.

This package attempts to imitate the dftools package (repo: https://github.com/obreschkow/dftools ) quite closely, while being as Pythonic as possible. Do note that 2D+ models are not yet implemented in this Python port, and neither are non-parametric models. Hopefully they will be along soon.

From dftool’s description:

This package can find the most likely P parameters of a D-dimensional distribution function (DF) generating N objects, where each object is specified by D observables with measurement uncertainties. For instance, if the objects are galaxies, it can fit a MF (P=1), a mass-size distribution (P=2) or the mass-spin-morphology distribution (P=3). Unlike most common fitting approaches, this method accurately accounts for measurement is uncertainties and complex selection functions. A full description of the algorithm can be found in Obreschkow et al. (2017).

In short, clean out Eddington bias from your fits:

https://user-images.githubusercontent.com/1272030/31757852-60cb6ebc-b4dd-11e7-8ce9-32b3232e8f94.png

Features

  • Simple and fast parameter fitting for generative distribution functions

  • Several examples (with astronomical applications in mind)

  • Several plotting routines so that you can go from nothing to a plot in minutes

  • A mockdata() function which can produce data to fit.

  • Support for arbitrary 1D models, several kinds of selection functions, jackknife and bootstrap resampling, Gaussian error estimation and more.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2017-10-25)

  • First release on PyPI.

  • All basic examples working as expected

  • TravisCI, Readthedocs set up.

  • Does not have multi-dimension support, or non-parametric support.

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

pydftools-0.1.0.tar.gz (621.0 kB view hashes)

Uploaded Source

Built Distribution

pydftools-0.1.0-py2.py3-none-any.whl (34.3 kB view hashes)

Uploaded Python 2 Python 3

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