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.

Python Package Conda Package 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.

https://lh3.googleusercontent.com/-3BBypwcOuqQ/U2GP63BYFII/AAAAAAAABNs/ubaKDHXSqjQ/w800-h344-no/figure_1.png

Installation#

https://img.shields.io/pypi/v/orangery.svg https://anaconda.org/mrahnis/orangery/badges/version.svg

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.

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:

python setup.py install

Examples#

The example scripts may be run like so:

python plots.py

License#

BSD

Documentation#

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