modified 'w_lims' funcs --- instead of set_param_hint, now using set to constrain the fits to desired limits

Author: SarthakJariwala

PythonGUI_apps/Spectrum_analysis/Spectra_fit_funcs.py

@@ -60,8 +60,7 @@ def gaussian_model_w_lims(self, center_min=None, center_max=None):
         x,y = self.background_correction()
         gmodel = GaussianModel(prefix = 'g1_') # calling gaussian model
         pars = gmodel.guess(y, x=x) # parameters - center, width, height
-#        pars['g1_center'].set(800, min = 795, max = 820)
-        gmodel.set_param_hint('g1_center', min=center_min, max=center_max)
+        pars['g1_center'].set(min=center_min, max=center_max)
         result = gmodel.fit(y, pars, x=x, nan_policy='propagate')
         return result
 
@@ -84,7 +83,7 @@ def lorentzian_model_w_lims(self, center_min = None, center_max = None):
         x,y = self.background_correction()
         lmodel = LorentzianModel(prefix = 'l1_') # calling lorentzian model
         pars = lmodel.guess(y, x=x) # parameters - center, width, height
-        lmodel.set_param_hint('l1_center', min = center_min, max = center_max)
+        pars['l1_center'].set(min = center_min, max = center_max)
         result = lmodel.fit(y, pars, x=x, nan_policy='propagate')
         return result