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Python methods to fit raman spectra, interactively or automatically.
License: MIT License
This project forked from stefangri/raman_spectrum_analysis
Python methods to fit raman spectra, interactively or automatically.
License: MIT License
if spectra with high intensity are saved the y-axis label and ticks might be cut off.
-> set ticks to e-numbers and fixed format, like is already is for mappings.
use jupyter notebook to get interactive code, without rerunning the code every time
some times the error bands behave strangely
the baseline seems to be not correctly added...
Have a detailed look
in order to prevent adding unused peaks in the fitting procedure
this enables more easy code changes.
using pytest: https://docs.pytest.org/en/latest/
This calculation needs checking
# calculate position correction for the patches
corr = 0.5
linecorr = matplotlib.rcParams['axes.linewidth']/fig.dpi/4
@stefangri using analyse_groups.py helps a lot, but unfortunately the outliners are not fitted. This prevents producing Raman Imaging maps of the samples...
Needs to be fixed
'np.genfromtxt' usually uses tab or space separated values, but comma or semicolon separated values are not supported at default, enable this!
sadly lmfit isn't able to properly deal with it...
preview data similar to MV-Software.
maybe use jupyter, but might be hard to do so
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