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Spectral Python (SPy) is a pure Python module for processing hyperspectral image
data (imaging spectroscopy data). It has functions for reading, displaying,
manipulating, and classifying hyperspectral imagery. Full details about the
package are on the web site <http://spectralpython.net>
_.
The latest release is always hosted on PyPI <https://pypi.python.org/pypi/spectral>
_,
so if you have pip
installed, you can install SPy from the command line with
.. code::
pip install spectral
Packaged distributions are also hosted at PyPI <https://pypi.python.org/pypi/spectral>
and GitHub <https://github.com/spectralpython/spectral/releases/latest>
so you can download and unpack the latest zip/tarball, then type
.. code::
python setup.py install
To install the latest development version, download or clone the git repository
and install as above. No explicit installation is required so you can simply
access (or symlink) the spectral
module within the source tree.
Finally, up-to-date guidance on how to install via the popular conda package
and environment management system can be found at official conda-forge documentation <https://anaconda.org/conda-forge/spectral>
_.
To run the suite of unit tests, you must have numpy
installed and you must
have the sample data files <http://spectralpython.net/user_guide_intro.html>
_
downloaded to the current directory (or one specified by the SPECTRAL_DATA
environment variable). To run the unit tests, type
.. code::
python -m spectral.tests.run
Using SPy interactively with its visualization capabilities requires IPython
and
several other packages (depending on the features used). See the
web site <http://spectralpython.net>
_ for details.