While working with a fit result in python (using this package: https://github.com/lmfit/lmfit-py), I got the following:
In [104]: result.params['a']
Out[104]: <Parameter 'a', value=-0.017319048843571397 +/- 0.00387, bounds=[-inf:inf]>
Where a was one of the parameters that I fit for. I wanted to get the standard error (0.00387) to use in a plot, but I didn't know how!
Here's how to find the dictionary key words:
In [106]: result.params['a'].__dict__
Out[106]:
{'_val': -0.017319048843571397,
'correl': {'std': 0.00014518047262818826},
'deps': None,
'expr': None,
'from_internal': <function lmfit.parameter.<lambda>>,
'init_value': 0,
'max': inf,
'min': -inf,
'name': 'a',
'stderr': 0.0038656946786479111,
'user_value': 0,
'vary': True}
So, result.params['a'].stderr returns the value. Simple enough!
