How to use the rampy.funexp 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.

Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.

github charlesll / rampy / rampy / baseline.py View on Github external
### Baseline is of the type y = a*exp(-log(2)*((x-b)/c)**2)
        # optional parameters
        p0_gauss = kwargs.get('p0_gaussian',[1.,1.,1.])
        ## fit of the baseline
        coeffs, pcov = curve_fit(rampy.gaussian,yafit[:,0],yafit[:,1],p0 = p0_gauss)

        baseline_fitted = rampy.gaussian(x,coeffs[0],coeffs[1],coeffs[2])

    elif method == 'exp':
        ### Baseline is of the type y = a*exp(b*(x-xo))
        # optional parameters
        p0_exp = kwargs.get('p0_exp',[1.,1.,1.])
        ## fit of the baseline
        coeffs, pcov = curve_fit(rampy.funexp,yafit[:,0],yafit[:,1],p0 = p0_exp)

        baseline_fitted = rampy.funexp(x,coeffs[0],coeffs[1],coeffs[2])

    elif method == 'log':
        ### Baseline is of the type y = a*exp(b*(x-xo))
        # optional parameters
        p0_log = kwargs.get('p0_log',[1.,1.,1.,1.])
        ## fit of the baseline
        coeffs, pcov = curve_fit(rampy.funlog,yafit[:,0],yafit[:,1],p0 = p0_log)

        baseline_fitted = rampy.funlog(x,coeffs[0],coeffs[1],coeffs[2],coeffs[3])

    elif method == 'rubberband':
        # code from this stack-exchange forum
        #https://dsp.stackexchange.com/questions/2725/how-to-perform-a-rubberband-correction-on-spectroscopic-data

        # Find the convex hull
        v = ConvexHull(np.array([x, y])).vertices
github charlesll / rampy / rampy / baseline.py View on Github external
elif method == 'gaussian':
        ### Baseline is of the type y = a*exp(-log(2)*((x-b)/c)**2)
        # optional parameters
        p0_gauss = kwargs.get('p0_gaussian',[1.,1.,1.])
        ## fit of the baseline
        coeffs, pcov = curve_fit(rampy.gaussian,yafit[:,0],yafit[:,1],p0 = p0_gauss)

        baseline_fitted = rampy.gaussian(x,coeffs[0],coeffs[1],coeffs[2])

    elif method == 'exp':
        ### Baseline is of the type y = a*exp(b*(x-xo))
        # optional parameters
        p0_exp = kwargs.get('p0_exp',[1.,1.,1.])
        ## fit of the baseline
        coeffs, pcov = curve_fit(rampy.funexp,yafit[:,0],yafit[:,1],p0 = p0_exp)

        baseline_fitted = rampy.funexp(x,coeffs[0],coeffs[1],coeffs[2])

    elif method == 'log':
        ### Baseline is of the type y = a*exp(b*(x-xo))
        # optional parameters
        p0_log = kwargs.get('p0_log',[1.,1.,1.,1.])
        ## fit of the baseline
        coeffs, pcov = curve_fit(rampy.funlog,yafit[:,0],yafit[:,1],p0 = p0_log)

        baseline_fitted = rampy.funlog(x,coeffs[0],coeffs[1],coeffs[2],coeffs[3])

    elif method == 'rubberband':
        # code from this stack-exchange forum
        #https://dsp.stackexchange.com/questions/2725/how-to-perform-a-rubberband-correction-on-spectroscopic-data

rampy

A Python module containing functions to treat spectroscopic (XANES, Raman, IR...) data

GPL-2.0
Latest version published 1 month ago

Package Health Score

75 / 100
Full package analysis