Metadata-Version: 2.1
Name: orangery
Version: 0.4.2
Summary: Python library to support analysis of topographic cross-sections
Home-page: http://github.com/mrahnis/orangery
Author: Michael Rahnis
Author-email: mike@topomatrix.com
License: BSD
Description: ========
        Orangery
        ========
        
        Orangery is a Python library to support analysis of topographic cross-sections, particularly on stream channels. The intent is to enable the user to write simple scripts that operate on CSV data exported from a survey data collector.
        
        .. image:: https://travis-ci.org/mrahnis/orangery.svg?branch=master
            :target: https://travis-ci.org/mrahnis/orangery
        
        .. image:: https://ci.appveyor.com/api/projects/status/lw4wysrcfu2x3653?svg=true
        	:target: https://ci.appveyor.com/project/mrahnis/orangery
        
        .. image:: https://readthedocs.org/projects/orangery/badge/?version=latest
        	:target: http://orangery.readthedocs.io/en/latest/?badge=latest
        	:alt: Documentation Status
        
        Orangery was initially a single script that allowed me to segregate, by grain size, changed areas on repeat topographic cross-sections. It can produce output plots like the one below.
        
        .. image:: https://lh3.googleusercontent.com/-3BBypwcOuqQ/U2GP63BYFII/AAAAAAAABNs/ubaKDHXSqjQ/w800-h344-no/figure_1.png
        	:width: 800
        	:height: 344
        
        Installation
        ============
        
        .. image:: https://img.shields.io/pypi/v/orangery.svg
        	:target: https://pypi.org/project/orangery/
        
        .. image:: https://anaconda.org/mrahnis/orangery/badges/version.svg
        	:target: https://anaconda.org/mrahnis/orangery
        
        To install from the Python Package Index:
        
        	$pip install orangery
        
        To install from the source distribution execute the setup script in the orangery directory:
        
        	$python setup.py install
        
        To install from Anaconda Cloud:
        
        If you are starting from scratch the first thing to do is install the Anaconda Python distribution, add the necessary channels to obtain the dependencies and install orangery.
        
        .. code-block:: console
        
        	$conda config --append channels conda-forge
        	$conda config --append channels mrahnis
        	$conda install orangery
        
        To install from the source distribution:
        
        Execute the setup script in the orangery directory:
        
        .. code-block:: console
        
        	$python setup.py install
        
        Examples
        ========
        
        The example scripts may be run like so:
        
        	$python plots.py
        
        License
        =======
        
        BSD
        
        Documentation
        =============
        
        Latest `html`_
        
        .. _`Python 2.7 or 3.x`: http://www.python.org
        .. _NumPy: http://www.numpy.org
        .. _pandas: http://pandas.pydata.org
        .. _matplotlib: http://matplotlib.org
        .. _Shapely: https://github.com/Toblerity/Shapely
        
        .. _Continuum Analytics: http://continuum.io/
        .. _Enthought: http://www.enthought.com
        .. _Shapely binary: https://pypi.python.org/pypi/Shapely
        .. _release page: https://github.com/mrahnis/orangery/releases
        
        .. _html: http://orangery.readthedocs.org/en/latest/
Keywords: cross-section,topography,survey,plotting
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: GIS
Description-Content-Type: text/x-rst
