create_prototypical_spectra

pyeem.augmentation.create_prototypical_spectra(dataset, cal_df)

Creates a protoypical spectrum for each calibration source in the PyEEM dataset.

Parameters

• dataset (pyeem.datasets.Dataset) – Your PyEEM dataset.

• cal_df (pandas.DataFrame) – Calibration information for your dataset returned from pyeem.preprocessing.calibration()

Returns

A table describing the prototypical spectra and their paths within the HDF5 store.

Return type

pandas.DataFrame