|Build Status| |Coverage Status|
AFLOW
Python API
Python API wrapping the AFLUX API language for AFLOW library. Note:
This is not an official repo of the AFLOW consortium and is not
maintained by them. API Documentation <https://rosenbrockc.github.io/aflow/>
__.
If you use this package, please cite it:
::
@ARTICLE{2017arXiv171000813R,
author = {{Rosenbrock}, C.~W.},
title = "{A Practical Python API for Querying AFLOWLIB}",
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
eprint = {1710.00813},
primaryClass = "cs.DB",
keywords = {Computer Science - Databases},
year = 2017,
month = sep,
adsurl = {http://adsabs.harvard.edu/abs/2017arXiv171000813R},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
Quickstart
Install aflow
from the python package index:
::
pip install aflow
Or alternatively install aflow
from conda using:
::
conda install -c conda-forge aflow
Open an ipython notebook or terminal and execute the query from the
paper:
.. code:: python
from aflow import *
result = search(batch_size=20
).select(K.agl_thermal_conductivity_300K
).filter(K.Egap > 6).orderby(K.agl_thermal_conductivity_300K, True)
Now, you can just iterate over the results.
for entry in result:
print(entry.Egap)
aflow
supports lazy evaluation. This means that if you didn’t ask
for a particular property during the initial query, you can just ask for
it later and the request will happen transparently in the background.
Python 2 Support
Although the package was originally designed to be compatible with both
python 2 and python 3, python 2 has reached the end of its life. As
such, we don’t guarantee anymore that it will work.
.. |Build Status| image:: https://travis-ci.org/rosenbrockc/aflow.svg?branch=master
:target: https://travis-ci.org/rosenbrockc/aflow
.. |Coverage Status| image:: https://coveralls.io/repos/github/rosenbrockc/aflow/badge.svg?branch=master
:target: https://coveralls.io/github/rosenbrockc/aflow?branch=master