pygypsy 0.4.0

Description:

pygypsy 0.4.0

Master: Dev:

Conda-forge

Linux: OSX: Windows:
PyPI


pygypsy
pygypsy is a python implementation of the forest Growth and Yield Projection
SYstem [HuangEtAl2009].
Its main usage mode is a command line interface; it also has a an API for
programmatic use.
It’s benefits over other offerings are:

configurable
control over the implementation
fast
easy to simulate multiple plots



[HuangEtAl2009]
Huang, Meng, Yang (2009). A Growth and Yield Projection System for Natural and Post-Harvest Stands in Alberta. Retrieved from http://www1.agric.gov.ab.ca/department/deptdocs.nsf/all/formain15784/file/GYPSY-Natural-PostHarvestStands-Alberta-May21-2009.pdf?OpenElement



Installation
pygypsy is available in the following package repositories

PyPI

pip install pygypsy

conda-forge

conda config --add channels conda-forge
conda install pygypsy
Conda is the recommended environment for using gypsy on windows. Installation
from PyPI currently requires compilation of cython extensions and C code; on
Linux and OSX this is rarely problematic.
It is recommended to install in a
virtualenv or
conda env to avoid
clobbering system or other projects’ python pacakges.


Usage
pygypsy provides a command line interface for convenient usage
The complete documentation can be accessed with pygypsy -h:
Usage: pygypsy [OPTIONS] COMMAND [ARGS]...

Growth and Yield Projection System

Note: 'prep' subcommand must be run before 'simulate'

Options:
-v, --verbose
-o, --output-dir PATH
-h, --help Show this message and exit.

Commands:
generate_config Generate a configuration file Generates a...
plot Create charts for all files in pygypsy...
prep Prepare stand data for use in pygpysy...
simulate Run pygypsy simulation
Documentation for subcommands is available via
pygypsy SUBCOMMAND -h:


Getting help
If you are interesting in using or developing pygypsy and would like
assistance:

Check the pygypsy docs
Check the pygypsy issue tracker
Open a new pygypsy issue



Contributing
If you would like to contribute to pygypsy, start by reviewing the contributing guide. If you need help getting started, see Getting help.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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