sub function show numbering; closes #70

src/gui_qt/main/management.py

@@ -653,12 +653,10 @@ class UpperManagement(QtCore.QObject):
             else:
                 continue
 
-            for key, pvalue in data.parameter.items():
+            for fit_key, pvalue in data.parameter.items():
-                name = pvalue.full_name
-                fit_key = key + data.model_name
 
                 if fit_key not in fit_dict:
-                    fit_dict[fit_key] = [[], name]
+                    fit_dict[fit_key] = [[], fit_key]
 
                 err = 0 if pvalue.error is None else pvalue.error
 

src/nmreval/fit/_meta.py

@@ -68,6 +68,7 @@ class MultiModel:
         self._kwargs_right = {}
         self._kwargs_left = {}
         self.fun_kwargs = {}
+        self.idx = (left_idx, right_idx)
 
         # mapping kwargs to kwargs of underlying functions
         self._ext_int_kw = {}
@@ -178,13 +179,13 @@ class MultiModel:
         if isinstance(self._left, MultiModel):
             yield from self._left.sub_name()
         elif hasattr(self._left, 'name'):
-            yield self._left.name
+            yield f'{self._left.name}({self.idx[0]})'
         else:
             yield self.name + '(lhs)'
 
         if isinstance(self._right, MultiModel):
             yield from self._right.sub_name()
         elif hasattr(self._right, 'name'):
-            yield self._right.name
+            yield f'{self._right.name}({self.idx[1]})'
         else:
             yield self.name + '(rhs)'

src/nmreval/fit/result.py

@@ -65,17 +65,21 @@ class FitResultCreator:
 
         resid = model.func(p_final, x_orig, **fun_kwargs) - y_orig
 
-        actual_complex_mode = 0
+        actual_mode = -1
         if 'complex_mode' in fun_kwargs:
-            actual_complex_mode = fun_kwargs['complex_mode']
+            actual_mode = fun_kwargs['complex_mode']
             fun_kwargs['complex_mode'] = 0
 
         _y = model.func(p_final, _x, **fun_kwargs)
-        if actual_complex_mode == 1:
+
+        if not actual_mode < 0:
+            if actual_mode == 1:
                 _y.imag = 0
-        elif actual_complex_mode == 2:
+            elif actual_mode == 2:
                 _y.real = 0
 
+            fun_kwargs['complex_mode'] = actual_mode
+
         stats = FitResultCreator.calc_statistics(_y, resid, nobs, nvar)
         varied = [p.var for p in parameters.values()]
 
@@ -368,18 +372,45 @@ class FitResult(Points):
         if self.func is None:
             raise ValueError('no fit function available to calculate new y values')
 
+        actual_mode = -1
+        if 'complex_mode' in self.fun_kwargs:
+            actual_mode = self.fun_kwargs['complex_mode']
+            self.fun_kwargs['complex_mode'] = 0
+
         new_fit = self.copy()
         y_values = self.func.func(self.p_final, x_values, **self.fun_kwargs)
+        if not actual_mode < 0:
+            if actual_mode == 1:
+                y_values.imag = 0
+            elif actual_mode == 2:
+                y_values.real = 0
+
+            self.fun_kwargs['complex_mode'] = actual_mode
+
         new_fit.set_data(x_values, y_values)
 
         return new_fit
 
     def sub(self, x_values):
         part_functions = []
+        actual_mode = -1
+        if 'complex_mode' in self.fun_kwargs:
+            actual_mode = self.fun_kwargs['complex_mode']
+            self.fun_kwargs['complex_mode'] = 0
+
         for sub_name, sub_y in zip(self.func.sub_name(), self.func.sub(self.p_final, x_values, **self.fun_kwargs)):
-            if np.iscomplexobj(sub_y):
+            if not actual_mode < 0:
+                if actual_mode == 1:
+                    sub_y.imag = 0
+                elif actual_mode == 2:
+                    sub_y.real = 0
+
                 part_functions.append(Signal(x_values, sub_y, name=sub_name))
+
             else:
                 part_functions.append(Points(x_values, sub_y, name=sub_name))
 
+        if actual_mode < 0:
+            self.fun_kwargs['complex_mode'] = actual_mode
+
         return part_functions