pyjams 1.4

pyjams: a general Python package with miscellaneous utility functions used in several other packages.

A general Python package with miscellaneous utility functions used in several other packages.

About pyjams

pyjams is a general Python package offering miscellaneous functions in different categories, such as reading different file formats, Julian date routines, or calculating Elementary Effects. It has several subpackages offering constants or special functions, or objective functions to be used with scipy.optimize.

The package modernises and makes available routines of the JAMS Python library, which was created 2009 by Matthias Cuntz while at the Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany, and continued while at Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Nancy, France.

The complete documentation of pyjams is available at:

http://pyjams.readthedocs.org/en/latest/

Installation

The easiest way to install is via pip:

pip install pyjams

Requirements

• numpy

• scipy

• schwimmbad

Content

Modules and functions are currently provided in the following categories:

• Array manipulation

• Math

• Miscellaneous

Functions and modules (alphabetical)

Function/module	Short description
argmax	Wrapper for numpy.argmax, numpy.ma.argmax, and using max for Python iterables
argmin	Wrapper for numpy.argmin, numpy.ma.argmin, and using min for Python iterables
argsort	Wrapper for numpy.argsort, numpy.ma.argsort, and using sorted for Python iterables
closest	Index in array which entry is closest to a given number
const	Physical, mathematical, computational, isotope, and material constants
division	Divide two arrays, return ‘otherwise’ if division by 0
div	Wrapper for division
elementary_effects	Morris measures mu, stddev and mu*
functions	Special functions for testing optimisations, sensitivity analysis, several forms of the logistic function and its derivatives, and other functions to be used with scipy.optimize
morris_sampling	Sampling of optimised trajectories for Morris measures / Elementary Effects
screening	Parameter screening using Morris’ method of Elementary Effects
tee	Prints arguments on screen and in file, like Unix/Linux tee utility

Functions and modules per category

Array manipulation

Function/module	Short description
argmax	Wrapper for numpy.argmax, numpy.ma.argmax, and using max for Python iterables.
argmin	Wrapper for numpy.argmin, numpy.ma.argmin, and using min for Python iterables.
argsort	Wrapper for numpy.argsort, numpy.ma.argsort, and using sorted for Python iterables.
closest	Index in array which entry is closest to a given number.

Math

Function/module	Short description
division	Divide two arrays, return ‘otherwise’ if division by 0
div	Wrapper for division
elementary_effects	Morris measures mu, stddev and mu*
functions	Special functions for testing optimisations, sensitivity analysis, several forms of the logistic function and its derivatives, and other functions to be used with scipy.optimize
morris_sampling	Sampling of optimised trajectories for Morris measures / Elementary Effects
screening	Parameter screening using Morris’ method of Elementary Effects

Miscellaneous

Function/module	Short description
const	Physical, mathematical, computational, isotope, and material constants
tee	Prints arguments on screen and in file, like Unix/Linux tee utility

License

pyjams is distributed under the MIT License. See the LICENSE file for details.

Copyright (c) 2012-2021 Matthias Cuntz, Juliane Mai, Stephan Thober, and Arndt Piayda

The project structure of pyjams has borrowed heavily from welltestpy by Sebastian Müller.