How to use mean_spectra correctly?

[darioxjose]

Hi!

I started using RamanSPy to evaluate my Raman data, since I map a large area (15 x 700 spectra).

I want to divide these along the y-direction, so along the 700 spectra, by a wanted number of sections, e.g. num_sections = 6.
But when I apply the mean_spectra function with the plot_type argument, the spectra will be plotted as plotted in style 'single' independent 'stacked' or 'single stacked' is given as argument.

I already tried the following (and more)

ramanData = rp.load.renishaw('filepath for .wdf-file')
num_sections = 6
width = ramanData.shape[1] # the number of spectra in y-direction
for i in range(int(num_sections)):
rp.plot.mean_spectra(ramanData[:, int(i * (width / int(num_sections))):int((i + 1) * (width / int(num_sections)))])

that gives all spectra, but overlapping and in the same color
while

rp.plot.mean_spectra([ramanData[:, int(i * (width / int(num_sections))):int((i + 1) * (width / int(num_sections)))] for i in range(int(num_sections))], plot_type='single stacked')

gives only the mean of all spectra and does not distinguish between the single spectra.

Thank you!

[dgeorgiev21]

Hi @darioxjose

Thanks for your question.

Just to clarify: are you aiming to plot the mean spectrum of each of your 6 y-sections together in a single stacked plot?

If so, you can try converting each section into an explicit list of spectra first (so mean_spectra treats them as separate inputs):

rp.plot.mean_spectra(
    [ramanData[:, int(i*(width/num_sections)) : int((i+1)*(width/num_sections))].tolist()
     for i in range(int(num_sections))],
    plot_type="single stacked",
)

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[darioxjose]

Thank you very much for your fast answer! That was exactly what I was looking for!

There is now a (minor) problem, the peaks are quiet small, is there a way to enhance the height?