Storing spectra

The management of single Raman spectra in RamanSPy is guided through the ramanspy.Spectrum class.

See also

As the ramanspy.Spectrum class extends the ramanspy.SpectralContainer class, most of its functionality is inherited from this class. Hence, users are advised to first check the documentation of the ramanspy.Spectrum class and the Generic data container tutorial.

Below, we will inspect some of the main features the ramanspy.Spectrum class provides on top of those inherited through the ramanspy.SpectralContainer class.

import numpy as np
import ramanspy

We can define a spectrum by providing a relevant 1D intensity data array and the corresponding ramanspy wavenumber axis, just as we initialise raman.SpectralContainer instances. As an example, we will create a Raman spectrum containing 1500 spectral points.

spectral_axis = np.linspace(100, 3600, 1500)
spectral_data = np.sin(spectral_axis/120)

raman_spectrum = ramanspy.Spectrum(spectral_data, spectral_axis)

Then, we can use all features of the ramanspy.SpectralContainer class as usual. For instance,

raman_spectrum.shape

(1,)

At the moment, the only functionality the ramanspy.Spectrum class provides over ramanspy.SpectralContainer is the highly-customisable ramanspy.Spectrum.plot(), which can be used to quickly visualise spectral slices across Raman spectroscopic images.

raman_spectrum.plot()

<Axes: title={'center': 'Raman spectra'}, xlabel='Raman shift (cm$^{{{-1}}}$)', ylabel='Intensity (a.u.)'>