Welcome to RamPy’s documentation!

Copyright (2015-2024) C. Le Losq and co.

Charles Le Losq, Institut de physique du globe de Paris, University of Paris lelosq@ipgp.fr

The Rampy project

Rampy is a Python library that aims at helping processing spectroscopic data, such as Raman, Infrared or XAS spectra. It offers, for instance, functions to subtract baselines as well as to stack, resample or smooth spectra. It aims at facilitating the use of Python in processing spectroscopic data.

The project is hosted on Github (here!), please do not hesitate to propose new features or simply ideas!

Integration with other packages

Rampy integrates within a workflow that uses Numpy/Scipy/Matplotlib as well as optimisation libraries such as lmfit, emcee, PyMC3 for instance.

Rampy can be used also to analyse the output of the RADIS package. See the discussion about this here

Indices and tables

• Index

• Module Index

• Search Page

Contents:

• Philosophy
• Installation
  • General preparation
  • Rampy installation
  • Optional dependencies
• First Steps
  • Library importation
  • Data importation
  • Plot a spectrum
• Preprocessing
  • Flip the X axis
  • Remove spikes
  • Resampling a spectrum
  • Normalisation
  • Smoothing
  • Baseline
  • Temperature and excitation line effects
• Peak fitting
  • lmfit
  • Calculate peak areas
  • Propagate uncertainties
• Machine learning
  • ML Exploration
  • ML regression
  • ML classification
  • Linear mixture
• Maps
• rampy package
  • Subpackages
  • Submodules
  • rampy.baseline module
  • rampy.filters module
  • rampy.functions module
  • rampy.maps module
  • rampy.mixing module
  • rampy.ml_classification module
  • rampy.ml_exploration module
  • rampy.ml_regressor module
  • rampy.peak_area module
  • rampy.peak_shapes module
  • rampy.rameau module
  • rampy.spectranization module
  • rampy.tlcorrection module
  • Module contents