src/nmreval/fit/minimizer.py

@@ -469,7 +469,6 @@ class FitRoutine(object):
             corr: np.ndarray = None,
             partial_corr: np.ndarray = None,
     ):
-        print(data.complex_type)
         if err is None:
             err = [0] * len(p)
 
@@ -523,6 +522,7 @@ class FitRoutine(object):
 
         return self.result
 
+
 def _calc_error(jac, chi, nobs, nvars):
     # copy of scipy.curve_fit to calculate covariance
     # noinspection PyTupleAssignmentBalance

src/nmreval/fit/result.py

@@ -99,7 +99,6 @@ class FitResultCreator:
             fun_kwargs['complex_mode'] = 0
 
         _y = check_complex(model.func(p_final, _x, **fun_kwargs), actual_mode, data_mode)
-        print(_y)
 
         fun_kwargs['complex_mode'] = actual_mode