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.. image:: https://badge.fury.io/py/eazy.svg :target: https://badge.fury.io/py/eazy

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eazy-py: Pythonic photometric redshift tools based on EAZY

Under heavy construction....

Documentation will be here: https://eazy-py.readthedocs.io/, though it's essentially just the module API for now.

Templates and filter files still here: https://github.com/gbrammer/eazy-photoz/.

.. note::
    Please submit any questions/comments/problems you have through the `Issues <https://github.com/gbrammer/eazy-py/issues>`_ interface.

Installation instructions

.. code:: bash

$ pip install eazy
$ pip install eazy[vistool] # for the dash visualiation tool

# Install extra dependency
$ pip install git+https://github.com/karllark/dust_attenuation.git

# Get templates and filters from https://github.com/gbrammer/eazy-photoz
$ python -c "import eazy; eazy.fetch_eazy_photoz()"

Demo

.. image:: https://colab.research.google.com/assets/colab-badge.svg
 :target: https://colab.research.google.com/github/gbrammer/eazy-py/blob/master/docs/examples/HDFN-demo.ipynb

.. image:: https://mybinder.org/badge_logo.svg
 :target: https://mybinder.org/v2/gh/gbrammer/eazy-py/HEAD?filepath=docs%2Fexamples%2FHDFN-demo.ipynb

Citation

Please cite both this repository and Brammer et al. (2008) <https://ui.adsabs.harvard.edu/abs/2008ApJ...686.1503B/abstract>. A BiBTeX for this repository can be generated via the Cite this repository link in the upper left corner of the GitHub page <https://github.com/gbrammer/eazy-py>.