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Microfading Python Package

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New users

If you are a new user, take a look at the Get started section. It provides all the basic information you need to know about the package.

What is this package about ?

This package has been created to help microfading users to manipulate their data. Microfading or microfadeometry can be defined as an artificial accelerated light-ageing technique operating at a micro-scale level. More information about the technique can be found in the Microfading section.

What does this package provide ?

The package provides computational tools to ease the manipulation of microfading data. The tasks where the package provides help can be categorized in three main groups:

  • Rawdata processing
    • Transform the raw files produced by the spectrometer of the microfading system into a standardized file structure that is easier to read and which also contains metadata about the object and the analysis.
  • Visualizations
    • Creation of figures to visualize the spectral data and colorimetric coordinates (\(L^*\), \(a^*\), \(b^*\), \(C^*\), \(h\), \(\Delta E\), etc.)
    • Transform microfading numerical data into colored swatches
    • Basic standardized reports
    • Interactive plotting (not implemented yet !)
  • Data manipulation
    • Perform specific query on spectral and colorimetric data
    • Compute mean and standard deviation values
    • Compute delta values
    • Data fitting and extrapolation

Contributions

We are welcoming any contributions, comments (positive and negative), ideas, etc. This is important to improve the quality of the package and its documentation. If you have encountered a bug or spotted an error, please don't hesitate to contact us by email (see below).

Contacts

Email: microfading@mailo.com

Website structure

The documentation follows the structure described by Daniele Procida, which organizes documentation into four different groups (Tutorials, How-to, Explanations, References).

Cite package

If you are using this package for a publication, please cite the package as follows: