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legacy support python ligo algorithm library

Project description

PyLAL: Python LAL

PyLAL is a collection of utilities for plotting the output files from
LSC analysis pipelines.

This README file explains how to build and install PyLAL.


0. Prerequisites

Compiling PyLAL's C extension modules requires the Fr (a.k.a. libframe),
LAL, LALburst, and LALinspiral libraries to be installed. Since most of
PyLAL is written in Python (an interpreted language), for the most part
PyLAL can be installed without having any prerequisites installed, however
many PyLAL programs will fail to run without them. PyLAL requires Glue for
LIGO Light-Weight XML I/O, segment arithmetic, and many other things;
PyLAL requires numpy, scipy, and matplotlib for data manipulation and
plotting; plotting also requires a latex distribution. All of these
packages should be available at

Note: matplotlib and numpy are now part of the standard LSCSOFT stack (at
least for CentOS 5) and can be obtained using:

yum groupinstall "LSCSOFT"


1. Determine your Python version

Python version 2.4 or greater is required to install PyLAL. Type:

python -V

to determine the version of python installed on your machine. For

nvf@dirac:~$ python -V
Python 2.4.4

If you do not have version 2.4 or greater installed, contact your system
administrator for help installing Python.


2. Get PyLAL from Git

PyLAL is part of the LALSuite Git repository. First choose a directory
in which to install the PyLAL sources. In this example, we install the
sources into ${HOME}/src. If you decide to install somewhere else,
change ${HOME}/src to the directory you have chosen. Change
albert.einstein in the git clone below to your kerberos
principle, if you have one. Type:

mkdir -p ${HOME}/src
cd ${HOME}/src
git clone git+ssh://

If you do not have a kerberos principle you can get the source
code anonymously using:

git clone git://

This will create a directory ${HOME}/src/lalsuite containing the
LALSuite sources.


3. Build and Install PyLAL

Choose a location in which to install PyLAL. In this example we choose
/opt/pylal. You must have write access to this directory, so you may
wish to install in ${HOME}, for example. Set the environment variable
${PYLAL_LOCATION} to point to your chosen install directory. Bash or sh
users should type:

export PYLAL_LOCATION=/opt/pylal

and csh users should type:

setenv PYLAL_LOCATION /opt/pylal

Assuming you have installed the pylal sources in
${HOME}/src/lalsuite/pylal, type:

cd ${HOME}/src/lalsuite/pylal

Then type:

${PYTHON} install --prefix=${PYLAL_LOCATION}

This will build and install all the PyLAL modules and programs.


4. Set up your Environment for Using PyLAL

If you are a bash or sh user, edit your .profile (or .bash_profile)
file and add the lines (changing /opt/pylal to wherever you installed

export PYLAL_LOCATION=/opt/pylal
if [ -f ${PYLAL_LOCATION}/etc/ ] ; then
source ${PYLAL_LOCATION}/etc/

If you are a csh user, edit your .login file and add the lines (changing
/opt/pylal to wherever you installed PyLAL):

setenv PYLAL_LOCATION /opt/pylal
if ( -f ${PYLAL_LOCATION}/etc/pylal-user-env.csh ) then
source ${PYLAL_LOCATION}/etc/pylal-user-env.csh

Now log out and log back in to ensure that all environment variables
have been updated.

You may now use PyLAL! Please report any problems via the Gnats
database linked from the PyLAL home page.

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