pisces-db 0.2

A Practical Seismological Database Library in Python.

Pisces
======

A practical seismological database library in Python.

Documentation: http://jkmacc-lanl.github.io/pisces

Repository: https://github.com/jkmacc-LANL/pisces

--------------

Overview
--------

Pisces connects your Python analysis environment to a seismological database.

*Manage and analyze data in the same language*
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Don't use separate data-management language, like SQL or shell scripts.
Just use Python, and connect to
`SciPy <http://www.scipy.org/about.html>`__,
`ObsPy <http://www.obspy.org>`__,
`AIMBAT <http://www.earth.northwestern.edu/~xlou/aimbat.html>`__,
`pyTDMT <http://webservices.rm.ingv.it/pyTDMT/>`__,
`StreamPick <https://github.com/miili/StreamPick>`__, and the rest of
the scientific Python ecosystem.

*Use common open-source technologies and standards*
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

SQL relational databases, `Python <http://www.python.org>`__, `SQLAlchemy <http://www.sqlalchemy.org>`__, and the `SciPy stack <http://www.scipy.org/about.html>`__ are widely-used, free, and open-source technologies.
Because of this, you can leverage knowledge from sites, like `StackOverflow <http://stackoverflow.com/search?q=sqlalchemy>`__, and other disciplines, like web development, for database examples, troubleshooting, or tricks.

*Write portable, extensible, and scalable code*
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Python is multi-platform, SQLAlchemy is database-agnostic, and the whole
stack is free and open-source. Write code that will not eventually have
to be abandoned due to project size, system architecture, or budgetary
or licensing concerns.

Features
~~~~~~~~

- Import/export waveforms directly to/from your database.
- Easy importing/exporting of text "flat-file" data tables.
- Build database queries using Python objects and methods
(`SQLAlchemy <http:/www.sqlalchemy.org>`__), not by concatenating SQL
strings.
- Integration with `ObsPy <http://www.obspy.org>`__.
- Geographic filtering of results.


--------------

Installation
------------

Requires:

- NumPy
- ObsPy
- SQLAlchemy>0.7
- C, Fortran compiler

Install from `PyPI <https://pypi.python.org/pypi>`__:

::

pip install pisces-db

Install current master from GitHub:

::

pip install git+https://github.com/jkmacc-LANL/pisces