How to use the rampy.smooth function in rampy
To help you get started, we’ve selected a few rampy examples, based on popular ways it is used in public projects.
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charlesll / rampy / rampy / spectranization.py View on Github 
Options
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smoothing : bool
True or False. Smooth the signals with arguments provided as kwargs. Default method is whittaker smoothing. See the rampy.smooth function for smoothing options and arguments.
Returns
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centroid : Numpy array, n samples
signal centroid(s)
"""
y_ = y.copy()
if smoothing == True:
for i in range(x.shape[1]):
y_[:,i] = rampy.smooth(x[:,i],y[:,i],**kwargs)
return np.sum(y_/np.sum(y_,axis=0)*x,axis=0)rampy
A Python module containing functions to treat spectroscopic (XANES, Raman, IR...) data
