CONAN._classes.load_result.get_all_params_dict
==============================================

.. py:method:: CONAN._classes.load_result.get_all_params_dict(stat='med', uncertainty='1sigma', return_type='ufloat', verbose=True)

   Get all parameters(jumping,derived,fixed) from the result_**.dat and load in a dictionary with uncertainties.

   :param stat: summary statistic to load for model calculation. Must be one of ["med","max","bf"]
                for median, maximum and bestfit respectively. Default is "med" to load the
                'result_med.dat' file.
   :type stat: str;
   :param uncertainty: uncertainty to load from file. Must be one of ["1sigma","3sigma"] for 1sigma or
                       3sigma uncertainties. Default is "1sigma".
   :type uncertainty: str;
   :param return_type: return type of the values. Must be one of ["float","ufloat","array"] to return each
                       parameter as ufloat(val,+/-sigma) or array of [val,lo_sigma,hi_sigma]. Default is "ufloat".
   :type return_type: str;
   :param verbose: print the file being loaded.
   :type verbose: bool;

   :returns: **results_dict** -- dictionary of all parameters with uncertainties for jumping and derived parameters
   :rtype: dict;