Python library to support analysis of topographic cross-sections
Project description
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.
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.
Installation
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
Latest html
Project details
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