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repr of fit result adjusted

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Fabian Joswig 2021-11-01 15:03:39 +00:00
parent f2a5f12dce
commit 52d2d3b142
1 changed files with 4 additions and 3 deletions
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7
pyerrors/fits.py
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@ -52,7 +52,8 @@ class Fit_result(Sequence):
return my_str return my_str
def __repr__(self): def __repr__(self):
return 'Fit_result' + str([o.value for o in self.fit_parameters]) + '\n' m = max(map(len, list(self.__dict__.keys()))) + 1
return '\n'.join([key.rjust(m) + ': ' + repr(value) for key, value in sorted(self.__dict__.items())])
def least_squares(x, y, func, priors=None, silent=False, **kwargs): def least_squares(x, y, func, priors=None, silent=False, **kwargs):
@ -175,7 +176,7 @@ def _standard_fit(x, y, func, silent=False, **kwargs):
chisquare = fit_result.fun chisquare = fit_result.fun
output.nit = fit_result.nit output.iterations = fit_result.nit
else: else:
output.method = 'Levenberg-Marquardt' output.method = 'Levenberg-Marquardt'
if not silent: if not silent:
@ -190,7 +191,7 @@ def _standard_fit(x, y, func, silent=False, **kwargs):
chisquare = np.sum(fit_result.fun ** 2) chisquare = np.sum(fit_result.fun ** 2)
output.nit = fit_result.nfev output.iterations = fit_result.nfev
if not fit_result.success: if not fit_result.success:
raise Exception('The minimization procedure did not converge.') raise Exception('The minimization procedure did not converge.')