spectrochempy 0.1.16

Processing, analysis and modelling Spectroscopic data for Chemistry with Python

What is SpectroChemPy?

SpectroChemPy is a framework for processing, analyzing and modeling Spectroscopic data for Chemistry with Python. It is a cross platform software, running on Linux, Windows or OS X.

Among its major features:

1. A NDDataset object embedding array of data with labeled axes and metadata.

2. A Project manager to work on multiple NDDataset simultaneously.

3. Physical Units for NDDataset.

4. Mathematical operations over NDDataset such addition, multiplication and many more …

5. Import functions to read data from experiments or modeling programs …

6. Display functions such as plot for 1D or nD datasets …

7. Export functions to csv, xls formats …

8. Preprocessing functions such as baseline correction, automatic subtraction and many more …

9. Fitting capabilities for single or multiple datasets …

10. Exploratory analysis such as SVD, PCA, MCR_ALS, EFA …

Warning

SpectroChemPy is still experimental and under active development. Its current design is subject to major changes, reorganizations, bugs and crashes!!!. Please report any issues to the Issue Tracker

Documentation

the online Html documentation is available here:

• HTML documentation

Installation

• Follow the instructions here: Installation guide

Issue Tracker

You find a problem, want to suggest enhancements or want to look at the current issues and milestones, you can go there:

• Issue Tracker

Road Map

The possible roadmap for this project is here:

• Roadmap

Citing SpectroChemPy

When using SpectroChemPy for your own work, you are kindly requested to cite it this way:

Arnaud Travert & Christian Fernandez,
SpectroChemPy, a framework for processing, analyzing and modeling
of Spectroscopic data for Chemistry with Python
https://bitbucket.org/spectrocat/spectrochempy, (version 0.1)
Laboratoire Catalyse and Spectrochemistry,
ENSICAEN/Universit\'e de Caen/CNRS, 2019

License

CeCILL-B FREE SOFTWARE LICENSE AGREEMENT <license>