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<!DOCTYPE html>
<html class="writer-html5" lang="en" data-content_root="../">
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Overview: module code &mdash; IBR-XAS 0.1.0 documentation</title>
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IBR-XAS
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0.1.0
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<p class="caption" role="heading"><span class="caption-text">Contents:</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../readme.html">Iterative Bragg peak Removal of X-ray Absorption Spectrum (IBR-XAS)</a></li>
<li class="toctree-l1"><a class="reference internal" href="../installation.html">Installation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../usage.html">Usage</a></li>
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<h1>All modules for which code is available</h1>
<ul><li><a href="ibr_xas/ibr_xas.html">ibr_xas.ibr_xas</a></li>
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1 change: 1 addition & 0 deletions _sources/authors.rst.txt
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.. include:: ../AUTHORS.rst
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ibr\_xas package
================

Submodules
----------

ibr\_xas.cli module
-------------------

.. automodule:: ibr_xas.cli
:members:
:undoc-members:
:show-inheritance:

ibr\_xas.ibr\_xas module
------------------------

.. automodule:: ibr_xas.ibr_xas
:members:
:undoc-members:
:show-inheritance:

Module contents
---------------

.. automodule:: ibr_xas
:members:
:undoc-members:
:show-inheritance:
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Welcome to IBR-XAS's documentation!
======================================

.. toctree::
:maxdepth: 2
:caption: Contents:

readme
installation
usage
modules
contributing
authors
history

Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
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.. highlight:: shell

============
Installation
============


Stable release
--------------

(This is currently not available. This will be available after publication)

To install IBR-XAS, run this command in your terminal:

.. code-block:: console
$ pip install ibr-xas
This is the preferred method to install IBR-XAS, as it will always install the most recent stable release.

If you don't have `pip`_ installed, this `Python installation guide`_ can guide
you through the process.

.. _pip: https://pip.pypa.io
.. _Python installation guide: http://docs.python-guide.org/en/latest/starting/installation/


From sources
------------

The sources for IBR-XAS can be downloaded from the `Github repo`_.

You can install directly with pip:

.. code-block:: console
$ pip install git+https://github.com/Ameyanagi/IBR-XAS
Or you can download the source code and install it by yourself.
In order to do so, you can either clone the public repository:

.. code-block:: console
$ git clone git://github.com/Ameyanagi/IBR-XAS
Or download the `tarball`_:

.. code-block:: console
$ curl -OJL https://github.com/Ameyanagi/ibr_xas/tarball/master
Once you have a copy of the source, you can install it with:

.. code-block:: console
$ python setup.py install
.. _Github repo: https://github.com/Ameyanagi/IBR-XAS
.. _tarball: https://github.com/Ameyanagi/IBR-XAS/tarball/master
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ibr_xas
=======

.. toctree::
:maxdepth: 4

ibr_xas
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.. include:: ../README.rst
19 changes: 19 additions & 0 deletions _sources/usage.rst.txt
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=====
Usage
=====

Following is an example usage of the class.

1. Prepare list of energy, and mu. The energy and mu has to be in the format of list of np.ndarray.
2. Create an instance of the class.
3. Call the calc_bragg_iter method to iteratively calculate the Bragg peaks.
4. Call the save_dat method to save the spectra.

.. code-block:: python
from ibr_xas import IbrXas
energy_list, mu_list, file_list = prepare_spectra_from_qas(file_path)
ix = IbrXas(energy_list, mu_list, file_list)
ix.calc_bragg_iter().save_dat()
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