Visualisation. The RamanSPy package also provides various visualisation tools available within the ramanspy.plot sub-module. As an example, one can plot spectra using the spectra function: ramanspy . plot . spectra ( < spectra or collection of spectra >) ramanspy . plot . show () # or plt . show () after import matplotlib . pyplot as plt Note that these functions are highly customisable. This can be done by providing relevant parameters to control the plot generation, as well as through matplotlib's customisation workflow. import matplotlib . pyplot as plt plt . figure ( figsize = (5 , 5) ) ax = ramanspy . plot . spectra ( < spectra or collection of spectra > , title = " < str > " , label = " < str or list [ str ] > " ) ax . set_ylabel ( " <str > " ) # adding a label to the y -axis plt . show () # or ramanspy . plot . show () RamanSPy A full list of the methods for data visualisation built into RamanSPy is available as part of the documentation of the package at .