How to use the rampy.tlcorrection function in rampy

rs = np.ones(len(data_liste))

    record_std = np.zeros((len(data_liste),2))

    rois = data_liste.loc[:,"ROI1 lb":"ROI6 hb"]

    for i in range(len(data_liste)):

        # importing the spectra
        sp = np.genfromtxt(path_in+data_liste["Name"][i],delimiter=delim,skip_header=1)

        # constructing an interpolator: this will allow an output of all data with the same X axis
        f = scipy.interpolate.interp1d(sp[:,0], sp[:,1],fill_value="extrapolate")

        # temperature and excitation line correction (see Rameau help)
        x, y_all[:,i], sdf = rp.tlcorrection(x,f(x),23.0,laser,normalisation='intensity')

        # getting the roi
        roi = np.array(rois.loc[i]).reshape(int(len(rois.loc[i])/2),2)

        # calculating baseline
        if method == "LL2012": # spline

            try:
                c_hf, b_hf = rp.baseline(x,y_all[:,i],roi,"gcvspline",s=spline_coeff)
            except:
                break

            y_all_corr[:,i]=c_hf[:,0]
            y_all_base[:,i]=b_hf[:,0]

        elif method == "DG2017": # polynomial 3 following DG2017 method