nmmn 0.8.6

Miscellaneous methods for astronomy, dealing with arrays, statistical distributions and computing goodness-of-fit

nmmn package

Tools for astronomy, data analysis, time series, numerical simulations, gamma-ray astronomy and more! These are modules I wrote which I find useful—for whatever reason—in my research.

List of modules available (more info here):

• astro: astronomy
• dsp: signal processing
• lsd: misc. operations on arrays, lists, dictionaries and sets
• stats: statistical methods
• sed: spectral energy distributions
• plots: custom plots
• fermi: Fermi LAT analysis methods
• bayes: Bayesian tools for dealing with posterior distributions
• grmhd: tools for dealing with GRMHD numerical simulations

Very basic documentation for the package. Generated with Sphinx.

Installation

You have a couple of options to install the module:

1. Install using pip:

pip install nmmn

2. Install the module on the system’s python library path:

python setup.py install

3. Install the package with a symlink, so that changes to the source files will be immediately available:

python setup.py develop

This last method is preferred to sync with changes in the repo. You may need to run the last command with sudo.

To upgrade the package to the latest stable version, try

pip install --upgrade nmmn

if you installed with pip. If you installed with the setup.py script and the develop option, try

cd /path/to/nmmn
git pull

Usage

First import the specific module that you need:

import nmmn.lsd

Then call the method you need. For example, to remove all nan and inf elements from a numpy array:

import numpy

# generates some array with nan and inf
x=numpy.array([1,2,numpy.nan,numpy.inf])

# removes strange elements
xok=nmmn.lsd.delweird(x)

For more examples, please refer to the examples doc.

TODO

• need more examples of how to use the modules
• add IFU data cubes method

License

See LICENSE file.

If you have suggestions of improvements, by all means please contribute with a pull request! :)

The MIT License (MIT). Copyright (c) 2018 Rodrigo Nemmen

Visit the author's web page and/or follow him on twitter (@nemmen).