Metadata-Version: 2.4
Name: vaspy
Version: 0.9.0
Summary: A pure Python library designed to make it easy and quick to manipulate VASP files
Home-page: https://github.com/PytLab/VASPy
Download-URL: 
Author: Shao-Zheng-Jiang
Author-email: shaozhengjiang@gmail.com
Maintainer: Shao-Zheng-Jiang
License: LICENSE
Platform: linux
Classifier: Development Status :: 3 - Alpha
Classifier: Topic :: Text Processing
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
License-File: LICENSE
Requires-Dist: numpy>=1.11.1
Requires-Dist: matplotlib>=1.5.2
Requires-Dist: scipy>=0.18.0
Requires-Dist: pyvista>=0.42.0
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: maintainer
Dynamic: platform
Dynamic: requires-dist
Dynamic: summary


=====
VASPy
=====

.. image:: https://travis-ci.org/PytLab/VASPy.svg?branch=master
    :target: https://travis-ci.org/PytLab/VASPy
    :alt: Build Status

.. image:: https://landscape.io/github/PytLab/VASPy/master/landscape.svg?style=flat
    :target: https://landscape.io/github/PytLab/VASPy/master
    :alt: Code Health

.. image:: https://codecov.io/gh/PytLab/VASPy/branch/master/graph/badge.svg
    :target: https://codecov.io/gh/PytLab/VASPy

.. image:: https://img.shields.io/badge/python-3.5, 2.7-green.svg
    :target: https://www.python.org/downloads/release/python-351/
    :alt: platform

.. image:: https://img.shields.io/badge/pypi-v0.8.12-blue.svg
    :target: https://pypi.python.org/pypi/vaspy/
    :alt: versions


Introduction
------------

VASPy is a pure Python library designed to make it easy and quick to manipulate VASP files.

You can use VASPy to manipulate VASP files in command lins or write your own python scripts to process VASP files and visualize VASP data.

In `/scripts <https://github.com/PytLab/VASPy/tree/master/scripts>`_ , there are some scripts written by me for daily use.

Installation
------------
1. Via pip(recommend)::

    pip install vaspy

2. Via easy_install::

    easy_install vaspy

3. From source::

    python setup.py install

3D visualization is done via **PyVista**, which is installed automatically as a dependency::

    pip install vaspy

Or install PyVista separately::

    pip install pyvista

