remove complex kwarg when necessary #246
@ -401,7 +401,10 @@ class FitResult(Points):
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raise ValueError('no fit function available to calculate new y values')
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raise ValueError('no fit function available to calculate new y values')
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new_fit = self.copy()
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new_fit = self.copy()
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y_values = self.func.func(self.p_final, x_values, **self.fun_kwargs)
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fun_kwargs = {k: v for k, v in self.fun_kwargs.items()}
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if self.fun_kwargs.get('complex_mode', -1) == -1:
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fun_kwargs.pop('complex_mode', None)
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y_values = self.func.func(self.p_final, x_values, **fun_kwargs)
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y_values = check_complex(y_values, self.fun_kwargs.get('complex_mode', -1), self._data_complex)
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y_values = check_complex(y_values, self.fun_kwargs.get('complex_mode', -1), self._data_complex)
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new_fit.set_data(x_values, y_values, y_err=0.0)
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new_fit.set_data(x_values, y_values, y_err=0.0)
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@ -414,6 +417,9 @@ class FitResult(Points):
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part_functions = []
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part_functions = []
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actual_mode = self.fun_kwargs.get('complex_mode', -1)
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actual_mode = self.fun_kwargs.get('complex_mode', -1)
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fun_kwargs = {k: v for k, v in self.fun_kwargs.items()}
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if self.fun_kwargs.get('complex_mode', -1) == -1:
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fun_kwargs.pop('complex_mode', None)
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for sub_name, sub_y in zip(self.func.sub_name(), self.func.sub(self.p_final, x_values, **self.fun_kwargs)):
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for sub_name, sub_y in zip(self.func.sub_name(), self.func.sub(self.p_final, x_values, **self.fun_kwargs)):
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sub_y = check_complex(sub_y, actual_mode, self._data_complex)
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sub_y = check_complex(sub_y, actual_mode, self._data_complex)
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