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Especially useful for preprocessing of datasets like Raman spectra, infrared spectra, UV/Vis spectra, but also HPLC data and many other types of data. pyPreprocessing includes baseline correction, smoothing, filtering, normalization and transformation.

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AlexanderSouthan/pyPreprocessing

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License: MIT build workflow codecov

pyPreprocessing

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For preprocessing of datasets like Raman spectra, infrared spectra, UV/Vis spectra, but also HPLC data and many other types of data, currently via baseline correction, smoothing, filtering, transformation, normalization and derivative. It relies on numpy, pandas, scipy, tqdm and scikit-learn, but also on https://github.com/AlexanderSouthan/pyDataFitting for the introduction of equality constraints into the polynomial baseline estimation methods, and https://github.com/AlexanderSouthan/little_helpers.

Documentation

Please visit: https://alexandersouthan.github.io/pyPreprocessing/

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Especially useful for preprocessing of datasets like Raman spectra, infrared spectra, UV/Vis spectra, but also HPLC data and many other types of data. pyPreprocessing includes baseline correction, smoothing, filtering, normalization and transformation.

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