Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/paris-saclay-cds/specio
specio: Python input/output for spectroscopic files
https://github.com/paris-saclay-cds/specio
chemistry hyperspectral python raman
Last synced: 3 months ago
JSON representation
specio: Python input/output for spectroscopic files
- Host: GitHub
- URL: https://github.com/paris-saclay-cds/specio
- Owner: paris-saclay-cds
- License: bsd-3-clause
- Created: 2017-07-10T12:44:23.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2023-06-26T23:06:22.000Z (over 1 year ago)
- Last Synced: 2024-04-30T04:20:47.875Z (6 months ago)
- Topics: chemistry, hyperspectral, python, raman
- Language: Python
- Homepage: http://specio.readthedocs.io/
- Size: 48.9 MB
- Stars: 19
- Watchers: 5
- Forks: 13
- Open Issues: 7
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
Awesome Lists containing this project
- awesome-spectra - specio
README
.. -*- mode: rst -*-
|Travis|_ |AppVeyor|_ |Codecov|_ |ReadTheDocs|_ |PythonVersion|_ |Pypi|_
.. |Travis| image:: https://travis-ci.org/paris-saclay-cds/specio.svg?branch=master
.. _Travis: https://travis-ci.org/paris-saclay-cds/specio.. |AppVeyor| image:: https://ci.appveyor.com/api/projects/status/pvkh4hic8rpxcoyn?svg=true
.. _AppVeyor: https://ci.appveyor.com/project/paris-saclay-cds/specio/history.. |Codecov| image:: https://codecov.io/gh/paris-saclay-cds/specio/branch/master/graph/badge.svg
.. _Codecov: https://codecov.io/gh/paris-saclay-cds/specio.. |ReadTheDocs| image:: https://readthedocs.org/projects/specio/badge/?version=latest
.. _ReadTheDocs: http://specio.readthedocs.io/en/latest/?badge=latest.. |PythonVersion| image:: https://img.shields.io/pypi/pyversions/specio.svg
.. _PythonVersion: https://img.shields.io/pypi/pyversions/specio.svg.. |Pypi| image:: https://badge.fury.io/py/specio.svg
.. _Pypi: https://badge.fury.io/py/speciospecio
======specio is a library which allows to easily open spectroscopic format currently
available. It is widely inspired by the `imageio
`_ architecture.Documentation
-------------Installation documentation, API documentation, and examples can be found on the
documentation_... _documentation: http://specio.readthedocs.io/
Installation
------------Dependencies
~~~~~~~~~~~~The following dependencies are mandatory:
* numpy
* sixIn addition, there is the following optional dependencies required by some
readers and to export into CSV:* pandas
* spc
* pyopenmsYou can install all these dependencies via pip::
pip install -r requirements.txt
User installation
~~~~~~~~~~~~~~~~~You can install the package using pip and the PyPi repository::
pip install -U specio
Alternatively, you can clone it and run the setup.py file. Use the following
commands to get a copy from Github and install::git clone https://github.com/paris-saclay-cds/specio.git
cd specio
pip install .You can also install the master branch directly with pip::
pip install git+https://github.com/paris-saclay-cds/specio.git