up-rs-esp / bpl

Python module to work with bounded power-law (BPL) distributed random variables.

bpl

Python module to work with bounded power-law (BPL) distributed random variables.

This module contains a few basic functions that help analyse power-law distributed random variables that can be either bounded only from below or from both above and below. It provides the following functions:

1. Generate random samples from power-law distributed random variables.
2. Estimate a logarithimically binned histogram for a power-law distributed random variable.
3. Estimate the probability density function and the cumulative distribution function for specified power-law exponent.

Installation

1. Simply clone this repository and copy bpl.py in the directory where you are working in.

2. Alternatively, you can clone this repository to a desired directory of your choice and then create and Python startup file .pythonstartup in your home directory as:

import sys
import os
home = os.path.expanduser("~")
sys.path.append(home + "/<path_to_package>")

Save the file, and that's it! From then on, all python shells should be able to detect (and import) the bpl package without any problem.

Documentation

An overview of the functions and its usage can be found at: http://up-rs-esp.github.io/bpl

Examples

An example script example.py is included in the repository.

License

Copyright (c) 2016 Bedartha Goswami

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301,USA.

Author

Bedartha Goswami [email protected]

About this file

Created: Tue May 24, 2016 09:42PM

Last modified: Wed May 25, 2016 10:16PM