split_by_group.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "5860db71",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'voluntario_upv_1-_1': {'nombre': 'voluntario_upv_1',\n",
       "  'apellidos': '_1       ',\n",
       "  'edad': 31,\n",
       "  'genero': 'H',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211129T112353.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20211129T120005.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_2-_2': {'nombre': 'voluntario_upv_2',\n",
       "  'apellidos': '_2   ',\n",
       "  'edad': 60,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211129T133717.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20211129T140322.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_3-_3': {'nombre': 'voluntario_upv_3',\n",
       "  'apellidos': '_3  ',\n",
       "  'edad': 49,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211129T163621.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20211129T171934.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_4-_4': {'nombre': 'voluntario_upv_4',\n",
       "  'apellidos': '_4    ',\n",
       "  'edad': 63,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211130T105700.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220111T121738.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_5-_5': {'nombre': 'voluntario_upv_5',\n",
       "  'apellidos': '_5     ',\n",
       "  'edad': 35,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211201T114113.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20211210T120626.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_6-_6': {'nombre': 'voluntario_upv_6',\n",
       "  'apellidos': '_6              ',\n",
       "  'edad': 45,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211202T140213.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20211202T142641.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_7-_7': {'nombre': 'voluntario_upv_7',\n",
       "  'apellidos': '_7               ',\n",
       "  'edad': 57,\n",
       "  'genero': 'M',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211203T102719.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220124T090423.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_8-_8': {'nombre': 'voluntario_upv_8',\n",
       "  'apellidos': '_8              ',\n",
       "  'edad': 41,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211210T101730.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20211210T112932.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_9-_9': {'nombre': 'voluntario_upv_9',\n",
       "  'apellidos': '_9     ',\n",
       "  'edad': 57,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211210T105955.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220127T121914.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_11-_11': {'nombre': 'voluntario_upv_11',\n",
       "  'apellidos': '_11    ',\n",
       "  'edad': 34,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211210T145230.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220124T123446.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_12-_12': {'nombre': 'voluntario_upv_12',\n",
       "  'apellidos': '_12     ',\n",
       "  'edad': 51,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211210T160923.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20211210T163932.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_13-_13': {'nombre': 'voluntario_upv_13',\n",
       "  'apellidos': '_13    ',\n",
       "  'edad': 51,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211217T141916.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20211222T112032.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_14-_14': {'nombre': 'voluntario_upv_14',\n",
       "  'apellidos': '_14   ',\n",
       "  'edad': 21,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211217T171615.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20211220T112329.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_16-_16': {'nombre': 'voluntario_upv_16',\n",
       "  'apellidos': '_16       ',\n",
       "  'edad': 37,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220111T140857.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220113T142427.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_17-_17': {'nombre': 'voluntario_upv_17',\n",
       "  'apellidos': '_17     ',\n",
       "  'edad': 57,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220117T125215.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220117T131752.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_18-_18': {'nombre': 'voluntario_upv_18',\n",
       "  'apellidos': '_18    ',\n",
       "  'edad': 31,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220117T161356.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_19-_19': {'nombre': 'voluntario_upv_19',\n",
       "  'apellidos': '_19       ',\n",
       "  'edad': 38,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220118T094314.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220118T100419.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_20-_20': {'nombre': 'voluntario_upv_20',\n",
       "  'apellidos': '_20           ',\n",
       "  'edad': 21,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220118T104104.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220118T110520.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_21-_21': {'nombre': 'voluntario_upv_21',\n",
       "  'apellidos': '_21            ',\n",
       "  'edad': 41,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220120T182621.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220120T185212.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_22-_22': {'nombre': 'voluntario_upv_22',\n",
       "  'apellidos': '_22            ',\n",
       "  'edad': 21,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220121T112005.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220121T114403.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_23-_23': {'nombre': 'voluntario_upv_23',\n",
       "  'apellidos': '_23           ',\n",
       "  'edad': 22,\n",
       "  'genero': 'H',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220121T122915.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220121T130458.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_26-_26': {'nombre': 'voluntario_upv_26',\n",
       "  'apellidos': '_26            ',\n",
       "  'edad': 21,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220125T111912.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220125T114644.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_28-_28': {'nombre': 'voluntario_upv_28',\n",
       "  'apellidos': '_28            ',\n",
       "  'edad': 27,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220127T124659.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220128T123931.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_29-_29': {'nombre': 'voluntario_upv_29',\n",
       "  'apellidos': '_29               ',\n",
       "  'edad': 41,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220127T133215.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220131T132610.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_30-_30': {'nombre': 'voluntario_upv_30',\n",
       "  'apellidos': '_30         ',\n",
       "  'edad': 18,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220131T144132.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_31-_31': {'nombre': 'voluntario_upv_31',\n",
       "  'apellidos': '_31            ',\n",
       "  'edad': 19,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220202T131819.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220202T143731.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_32-_32': {'nombre': 'voluntario_upv_32',\n",
       "  'apellidos': '_32             ',\n",
       "  'edad': 19,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220202T133856.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220202T145451.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_33-_33': {'nombre': 'voluntario_upv_33',\n",
       "  'apellidos': '_33               ',\n",
       "  'edad': 19,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220202T135933.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220202T151326.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_34-_34': {'nombre': 'voluntario_upv_34',\n",
       "  'apellidos': '_34       ',\n",
       "  'edad': 20,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220203T123900.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220204T113646.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_35-_35': {'nombre': 'voluntario_upv_35',\n",
       "  'apellidos': '_35       ',\n",
       "  'edad': 54,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220204T105347.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220210T105658.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_upv_36-_36': {'nombre': 'voluntario_upv_36',\n",
       "  'apellidos': '_36   ',\n",
       "  'edad': 18,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220204T122529.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220204T122529.mat'],\n",
       "  'universidad': 'UPV'},\n",
       " 'voluntario_ugr_1-_1': {'nombre': 'voluntario_ugr_1',\n",
       "  'apellidos': '_1         ',\n",
       "  'edad': 23,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220401T131441.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_2-_2': {'nombre': 'voluntario_ugr_2',\n",
       "  'apellidos': '_2               ',\n",
       "  'edad': 24,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220317T113653.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220407T113228.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_3-_3': {'nombre': 'voluntario_ugr_3',\n",
       "  'apellidos': '_3           ',\n",
       "  'edad': 29,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220201T134054.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220202T124958.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_4-_4': {'nombre': 'voluntario_ugr_4',\n",
       "  'apellidos': '_4           ',\n",
       "  'edad': 43,\n",
       "  'genero': 'H',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220427T114635.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220408T103353.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_5-_5': {'nombre': 'voluntario_ugr_5',\n",
       "  'apellidos': '_5               ',\n",
       "  'edad': 21,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220401T121203.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220323T132705.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_6-_6': {'nombre': 'voluntario_ugr_6',\n",
       "  'apellidos': '_6   ',\n",
       "  'edad': 29,\n",
       "  'genero': 'H',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220303T125835.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220314T113216.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_7-_7': {'nombre': 'voluntario_ugr_7',\n",
       "  'apellidos': '_7     ',\n",
       "  'edad': 27,\n",
       "  'genero': 'H',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220318T133520.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_8-_8': {'nombre': 'voluntario_ugr_8',\n",
       "  'apellidos': '_8            ',\n",
       "  'edad': 19,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220411T193944.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220420T172846.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_9-_9': {'nombre': 'voluntario_ugr_9',\n",
       "  'apellidos': '_9            ',\n",
       "  'edad': 29,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220223T112641.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220223T161544.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_10-_10': {'nombre': 'voluntario_ugr_10',\n",
       "  'apellidos': '_10           ',\n",
       "  'edad': 40,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220209T132743.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220204T134543.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_11-_11': {'nombre': 'voluntario_ugr_11',\n",
       "  'apellidos': '_11             ',\n",
       "  'edad': 27,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220202T113037.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220208T122326.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_12-_12': {'nombre': 'voluntario_ugr_12',\n",
       "  'apellidos': '_12          ',\n",
       "  'edad': 43,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220204T112945.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220426T124527.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_13-_13': {'nombre': 'voluntario_ugr_13',\n",
       "  'apellidos': '_13          ',\n",
       "  'edad': 44,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220121T133331.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220204T123031.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_14-_14': {'nombre': 'voluntario_ugr_14',\n",
       "  'apellidos': '_14          ',\n",
       "  'edad': 47,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220114T110151.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220121T104058.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_15-_15': {'nombre': 'voluntario_ugr_15',\n",
       "  'apellidos': '_15           ',\n",
       "  'edad': 23,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220406T123850.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220421T122349.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_16-_16': {'nombre': 'voluntario_ugr_16',\n",
       "  'apellidos': '_16     ',\n",
       "  'edad': 32,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20211217T115223.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220114T114049.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_17-_17': {'nombre': 'voluntario_ugr_17',\n",
       "  'apellidos': '_17              ',\n",
       "  'edad': 19,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220411T201459.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220421T180502.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_18-_18': {'nombre': 'voluntario_ugr_18',\n",
       "  'apellidos': '_18             ',\n",
       "  'edad': 50,\n",
       "  'genero': 'H',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220422T111834.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220426T093703.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220405T100824.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_19-_19': {'nombre': 'voluntario_ugr_19',\n",
       "  'apellidos': '_19    ',\n",
       "  'edad': 22,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220331T123440.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220419T122341.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_20-_20': {'nombre': 'voluntario_ugr_20',\n",
       "  'apellidos': '_20   ',\n",
       "  'edad': 49,\n",
       "  'genero': 'M',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220302T112937.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220304T105123.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_21-_21': {'nombre': 'voluntario_ugr_21',\n",
       "  'apellidos': '_21            ',\n",
       "  'edad': 24,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220114T120209.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220128T092751.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_22-_22': {'nombre': 'voluntario_ugr_22',\n",
       "  'apellidos': '_22           ',\n",
       "  'edad': 21,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220328T140217.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220330T140514.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_23-_23': {'nombre': 'voluntario_ugr_23',\n",
       "  'apellidos': '_23             ',\n",
       "  'edad': 53,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220127T145837.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220121T122318.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_24-_24': {'nombre': 'voluntario_ugr_24',\n",
       "  'apellidos': '_24     ',\n",
       "  'edad': 37,\n",
       "  'genero': 'H',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220202T174903.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220207T134041.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_25-_25': {'nombre': 'voluntario_ugr_25',\n",
       "  'apellidos': '_25          ',\n",
       "  'edad': 41,\n",
       "  'genero': 'H',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220121T112811.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220127T141004.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_26-_26': {'nombre': 'voluntario_ugr_26',\n",
       "  'apellidos': '_26           ',\n",
       "  'edad': 22,\n",
       "  'genero': 'H',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220425T172713.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220422T124814.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_27-_27': {'nombre': 'voluntario_ugr_27',\n",
       "  'apellidos': '_27            ',\n",
       "  'edad': 30,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220201T111133.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220202T134220.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_28-_28': {'nombre': 'voluntario_ugr_28',\n",
       "  'apellidos': '_28          ',\n",
       "  'edad': 23,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220405T132104.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220401T134721.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_29-_29': {'nombre': 'voluntario_ugr_29',\n",
       "  'apellidos': '_29  ',\n",
       "  'edad': 60,\n",
       "  'genero': 'M',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220216T114246.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220223T104302.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220301T101810.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_30-_30': {'nombre': 'voluntario_ugr_30',\n",
       "  'apellidos': '_30           ',\n",
       "  'edad': 22,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220317T132259.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220407T125413.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_31-_31': {'nombre': 'voluntario_ugr_31',\n",
       "  'apellidos': '_31          ',\n",
       "  'edad': 18,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220420T175405.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220427T184121.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_32-_32': {'nombre': 'voluntario_ugr_32',\n",
       "  'apellidos': '_32       ',\n",
       "  'edad': 28,\n",
       "  'genero': 'H',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220114T124227.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220202T105219.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_33-_33': {'nombre': 'voluntario_ugr_33',\n",
       "  'apellidos': '_33             ',\n",
       "  'edad': 29,\n",
       "  'genero': 'M',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220211T125927.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220405T122450.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_34-_34': {'nombre': 'voluntario_ugr_34',\n",
       "  'apellidos': '_34   ',\n",
       "  'edad': 26,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220114T122007.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220128T130104.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_35-_35': {'nombre': 'voluntario_ugr_35',\n",
       "  'apellidos': '_35   ',\n",
       "  'edad': 50,\n",
       "  'genero': 'M',\n",
       "  'experto': True,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220308T111929.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220209T104348.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_36-_36': {'nombre': 'voluntario_ugr_36',\n",
       "  'apellidos': '_36  ',\n",
       "  'edad': 49,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220428T132532.mat'],\n",
       "  'universidad': 'UGR'},\n",
       " 'voluntario_ugr_37-_37': {'nombre': 'voluntario_ugr_37',\n",
       "  'apellidos': '_37             ',\n",
       "  'edad': 23,\n",
       "  'genero': 'M',\n",
       "  'experto': False,\n",
       "  'data_files': ['ResultsJNDsNoiseFlatBG20220407T102908.mat',\n",
       "   'ResultsJNDsNoiseFlatBG20220317T095724.mat'],\n",
       "  'universidad': 'UGR'}}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pickle\n",
    "import pandas as pd\n",
    "import math\n",
    "from unidecode import unidecode\n",
    "import numpy as np\n",
    "import scipy.io\n",
    "from scipy.optimize import minimize\n",
    "from scipy.stats import norm\n",
    "import matplotlib.pyplot as plt\n",
    "import os\n",
    "\n",
    "\n",
    "from scipy.stats import linregress\n",
    "\n",
    "def normcdf2(x, mu, sigma):\n",
    "    '''\n",
    "    Utilizo la función norm.cdf de la librería scipy.stats para calcular la función de distribución acumulada (CDF) \n",
    "    de la distribución normal, y luego dividimos el resultado por dos y sumamos 0.5 para ajustar el rango a [0,1].\n",
    "    '''\n",
    "    y = (norm.cdf(x, mu, sigma) + 1) / 2\n",
    "    return y\n",
    "\n",
    "def normcdf2_minimizer(X, params):\n",
    "    # X incluye mu y sigma\n",
    "    mu = X[0]\n",
    "    sigma = X[1]\n",
    "\n",
    "    # x/y valores para ajustar\n",
    "    x = params['x']\n",
    "    y = params['y']\n",
    "\n",
    "    # los valores ajustados con mu y sigma dados\n",
    "    yfit = normcdf2(x, mu, sigma)\n",
    "\n",
    "    # cálculo del error\n",
    "    err = np.sum((yfit - y)**2)\n",
    "\n",
    "    return err\n",
    "\n",
    "# Variables generales\n",
    "ruidos = scipy.io.loadmat('ruidosExp1.mat')\n",
    "ruidos = np.array(ruidos['ruidos'])\n",
    "minX = np.min(ruidos[:, 2])\n",
    "maxX = np.max(ruidos[:, 2])\n",
    "LoopNumber = 16\n",
    "numberObservations = 10\n",
    "\n",
    "\n",
    "PATH_VARIABLES = \"./variables\"\n",
    "DATA_PATH = \"./DatosExperimento1\"\n",
    "\n",
    "# Importar el diccionario\n",
    "with open(PATH_VARIABLES+\"/voluntarios.pkl\", 'rb') as archivo:\n",
    "    voluntarios = pickle.load(archivo)\n",
    "voluntarios"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "853bbd70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'genero': {'H': 35, 'M': 33}, 'experiencia': {'Si': 14, 'No': 54}, 'edad': {'<= 23.0': 23, '(23.0, 40.22]': 21, '> 40.22': 24}}\n"
     ]
    },
    {
     "data": {
      "text/plain": [
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       "  'M': array([[0.49494949, 2.3698512 ],\n",
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       " 'experiencia': {'Si': array([[0.47619048, 2.10575846],\n",
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       "         [0.87037037, 1.36181547],\n",
       "         [0.88888889, 1.35203983],\n",
       "         [0.90740741, 1.43686073],\n",
       "         [0.91358025, 2.52036976],\n",
       "         [0.66049383, 1.73630443],\n",
       "         [0.7654321 , 1.78893864],\n",
       "         [0.80864198, 1.95627196],\n",
       "         [0.82098765, 1.8845593 ],\n",
       "         [0.80864198, 1.68562616],\n",
       "         [0.82098765, 1.27361554],\n",
       "         [0.90740741, 1.26180167],\n",
       "         [0.89506173, 1.20501264],\n",
       "         [0.85802469, 1.34260958],\n",
       "         [0.85802469, 1.51931281],\n",
       "         [0.71604938, 1.766667  ],\n",
       "         [0.75308642, 1.79730989],\n",
       "         [0.75308642, 1.48337306],\n",
       "         [0.82716049, 1.69389498],\n",
       "         [0.82716049, 1.568513  ],\n",
       "         [0.83950617, 1.41328016],\n",
       "         [0.87654321, 1.40972557],\n",
       "         [0.84567901, 2.11940667],\n",
       "         [0.83333333, 1.29059247],\n",
       "         [0.84567901, 1.34395815],\n",
       "         [0.51234568, 1.98889124],\n",
       "         [0.5       , 1.77897637],\n",
       "         [0.48765432, 2.33628032],\n",
       "         [0.4691358 , 1.95017101],\n",
       "         [0.5308642 , 1.7920278 ],\n",
       "         [0.58024691, 2.10778772],\n",
       "         [0.59876543, 1.75012141],\n",
       "         [0.58024691, 1.86111376],\n",
       "         [0.58024691, 2.60071114],\n",
       "         [0.66666667, 1.67597356],\n",
       "         [0.52469136, 1.75568522],\n",
       "         [0.50617284, 1.96296066],\n",
       "         [0.61111111, 1.65293292],\n",
       "         [0.62345679, 1.66895909],\n",
       "         [0.67283951, 1.60421094],\n",
       "         [0.72839506, 1.6725157 ],\n",
       "         [0.74691358, 1.56540046],\n",
       "         [0.75925926, 1.79066104],\n",
       "         [0.74691358, 1.41600291],\n",
       "         [0.77160494, 1.57151852],\n",
       "         [0.54320988, 1.87314381],\n",
       "         [0.69753086, 1.83174701],\n",
       "         [0.68518519, 2.09970459],\n",
       "         [0.72839506, 1.65571114],\n",
       "         [0.7654321 , 1.59515968],\n",
       "         [0.74691358, 1.50571209],\n",
       "         [0.85185185, 1.41309363],\n",
       "         [0.82098765, 1.52818307],\n",
       "         [0.81481481, 1.34723181],\n",
       "         [0.85185185, 1.41298391],\n",
       "         [0.64197531, 1.74993163],\n",
       "         [0.7345679 , 1.85690592],\n",
       "         [0.7654321 , 1.57933295],\n",
       "         [0.80246914, 1.6065901 ],\n",
       "         [0.79012346, 1.46875966],\n",
       "         [0.80246914, 1.48770253],\n",
       "         [0.84567901, 1.43047285],\n",
       "         [0.87037037, 1.20466412],\n",
       "         [0.90123457, 1.28718751],\n",
       "         [0.85185185, 1.25194522]])},\n",
       " 'edad': {'<= 23.0': array([[0.62318841, 1.64453602],\n",
       "         [0.73913043, 1.79147429],\n",
       "         [0.69565217, 2.13278229],\n",
       "         [0.89855072, 1.80362388],\n",
       "         [0.88405797, 1.43217003],\n",
       "         [0.82608696, 1.43640728],\n",
       "         [0.92753623, 1.3797568 ],\n",
       "         [0.92753623, 1.46212812],\n",
       "         [0.92753623, 1.3786841 ],\n",
       "         [0.95652174, 1.20875735],\n",
       "         [0.50724638, 2.01462792],\n",
       "         [0.71014493, 1.50256836],\n",
       "         [0.75362319, 1.48585386],\n",
       "         [0.8115942 , 1.89315233],\n",
       "         [0.88405797, 1.43578993],\n",
       "         [0.84057971, 1.45756423],\n",
       "         [0.85507246, 1.54456246],\n",
       "         [0.86956522, 1.28014328],\n",
       "         [0.89855072, 1.25563478],\n",
       "         [0.88405797, 1.40136308],\n",
       "         [0.62318841, 1.89102844],\n",
       "         [0.86956522, 2.11535058],\n",
       "         [0.71014493, 2.09877209],\n",
       "         [0.71014493, 1.68110838],\n",
       "         [0.76811594, 1.66912125],\n",
       "         [0.71014493, 1.50809518],\n",
       "         [0.8115942 , 1.50895261],\n",
       "         [0.84057971, 1.40153505],\n",
       "         [0.82608696, 1.36761441],\n",
       "         [0.88405797, 1.56469824],\n",
       "         [0.5942029 , 1.68568981],\n",
       "         [0.57971014, 2.17175377],\n",
       "         [0.5942029 , 1.89603593],\n",
       "         [0.65217391, 1.51709526],\n",
       "         [0.72463768, 1.79459355],\n",
       "         [0.72463768, 1.63520362],\n",
       "         [0.8115942 , 1.80395022],\n",
       "         [0.7826087 , 1.67495793],\n",
       "         [0.72463768, 1.49957572],\n",
       "         [0.82608696, 1.63203758],\n",
       "         [0.66666667, 1.85011275],\n",
       "         [0.63768116, 1.84850635],\n",
       "         [0.73913043, 1.89365227],\n",
       "         [0.7826087 , 1.73589558],\n",
       "         [0.66666667, 1.46327287],\n",
       "         [0.82608696, 1.65727159],\n",
       "         [0.84057971, 1.63231524],\n",
       "         [0.92753623, 1.63184607],\n",
       "         [0.84057971, 1.48040292],\n",
       "         [0.91304348, 1.31247211],\n",
       "         [0.55072464, 1.62823854],\n",
       "         [0.76811594, 1.67261232],\n",
       "         [0.75362319, 1.49539886],\n",
       "         [0.71014493, 1.78300004],\n",
       "         [0.8115942 , 1.71566845],\n",
       "         [0.7826087 , 1.65556256],\n",
       "         [0.85507246, 1.35235224],\n",
       "         [0.94202899, 1.44046725],\n",
       "         [0.94202899, 1.50113351],\n",
       "         [0.86956522, 1.40423947],\n",
       "         [0.56521739, 1.96865896],\n",
       "         [0.62318841, 1.88793575],\n",
       "         [0.75362319, 1.4687687 ],\n",
       "         [0.76811594, 1.70173112],\n",
       "         [0.79710145, 1.40770655],\n",
       "         [0.86956522, 1.58883403],\n",
       "         [0.86956522, 1.56434195],\n",
       "         [0.8115942 , 1.30753231],\n",
       "         [0.82608696, 1.29985763],\n",
       "         [0.88405797, 1.41278468],\n",
       "         [0.63768116, 1.93187108],\n",
       "         [0.60869565, 1.99990981],\n",
       "         [0.62318841, 1.44150051],\n",
       "         [0.84057971, 1.57646602],\n",
       "         [0.7826087 , 1.51767342],\n",
       "         [0.84057971, 1.57423849],\n",
       "         [0.88405797, 1.36431756],\n",
       "         [0.91304348, 1.32394937],\n",
       "         [0.88405797, 1.48938635],\n",
       "         [0.92753623, 1.44953561],\n",
       "         [0.66666667, 2.34089396],\n",
       "         [0.60869565, 1.74404838],\n",
       "         [0.57971014, 1.68752686],\n",
       "         [0.75362319, 1.98107107],\n",
       "         [0.72463768, 1.82394508],\n",
       "         [0.7826087 , 1.48896254],\n",
       "         [0.7826087 , 1.46014365],\n",
       "         [0.85507246, 1.94096523],\n",
       "         [0.85507246, 1.37754126],\n",
       "         [0.7826087 , 1.30540039],\n",
       "         [0.72463768, 1.5050585 ],\n",
       "         [0.79710145, 2.06203986],\n",
       "         [0.79710145, 1.29767665],\n",
       "         [0.89855072, 1.25256526],\n",
       "         [0.86956522, 1.33100565],\n",
       "         [0.8115942 , 1.52437233],\n",
       "         [0.89855072, 1.1862565 ],\n",
       "         [0.91304348, 1.15487008],\n",
       "         [0.92753623, 1.27882666],\n",
       "         [0.95652174, 3.59665353],\n",
       "         [0.63768116, 1.65390054],\n",
       "         [0.76811594, 1.53063138],\n",
       "         [0.82608696, 1.82479277],\n",
       "         [0.92753623, 1.29099611],\n",
       "         [0.84057971, 1.85439821],\n",
       "         [0.86956522, 1.27524796],\n",
       "         [0.94202899, 1.14732906],\n",
       "         [0.94202899, 1.10433504],\n",
       "         [0.91304348, 1.42018146],\n",
       "         [0.92753623, 1.16512299],\n",
       "         [0.84057971, 1.59599152],\n",
       "         [0.76811594, 1.75739205],\n",
       "         [0.72463768, 1.31322849],\n",
       "         [0.82608696, 1.60785048],\n",
       "         [0.89855072, 1.2704882 ],\n",
       "         [0.89855072, 1.32064322],\n",
       "         [0.92753623, 1.11053298],\n",
       "         [0.89855072, 1.74630488],\n",
       "         [0.91304348, 1.14792625],\n",
       "         [0.91304348, 1.50846209],\n",
       "         [0.42028986, 1.82443603],\n",
       "         [0.55072464, 1.56396558],\n",
       "         [0.5942029 , 2.36728371],\n",
       "         [0.46376812, 1.9299672 ],\n",
       "         [0.52173913, 1.66698341],\n",
       "         [0.55072464, 2.05247934],\n",
       "         [0.50724638, 1.65893293],\n",
       "         [0.62318841, 1.71119649],\n",
       "         [0.56521739, 2.1367396 ],\n",
       "         [0.72463768, 1.77549497],\n",
       "         [0.56521739, 1.57372759],\n",
       "         [0.42028986, 1.70480495],\n",
       "         [0.63768116, 1.55063393],\n",
       "         [0.69565217, 1.46236443],\n",
       "         [0.69565217, 1.53266219],\n",
       "         [0.75362319, 1.75022951],\n",
       "         [0.71014493, 1.470596  ],\n",
       "         [0.8115942 , 1.39409206],\n",
       "         [0.82608696, 1.271267  ],\n",
       "         [0.82608696, 1.49401487],\n",
       "         [0.53623188, 1.68696545],\n",
       "         [0.69565217, 1.65187825],\n",
       "         [0.71014493, 2.41643788],\n",
       "         [0.76811594, 1.41403402],\n",
       "         [0.84057971, 1.69948779],\n",
       "         [0.76811594, 1.3536165 ],\n",
       "         [0.86956522, 1.34048077],\n",
       "         [0.88405797, 1.24619618],\n",
       "         [0.79710145, 1.29275436],\n",
       "         [0.94202899, 1.33079531],\n",
       "         [0.65217391, 1.38264548],\n",
       "         [0.71014493, 1.88392009],\n",
       "         [0.7826087 , 1.43804584],\n",
       "         [0.79710145, 1.39950504],\n",
       "         [0.79710145, 1.37751388],\n",
       "         [0.79710145, 1.32887659],\n",
       "         [0.88405797, 1.10914935],\n",
       "         [0.91304348, 1.15496281],\n",
       "         [0.94202899, 1.24777616],\n",
       "         [0.92753623, 1.21714181]]),\n",
       "  '(23.0, 40.22]': array([[0.50793651, 2.10490261],\n",
       "         [0.74603175, 2.15686561],\n",
       "         [0.80952381, 1.69188979],\n",
       "         [0.84126984, 1.69495032],\n",
       "         [0.92063492, 1.72233181],\n",
       "         [0.93650794, 1.33109791],\n",
       "         [0.87301587, 1.17502921],\n",
       "         [0.87301587, 1.42334721],\n",
       "         [0.95238095, 1.1481198 ],\n",
       "         [0.92063492, 1.30376705],\n",
       "         [0.73015873, 1.77709402],\n",
       "         [0.65079365, 1.90393812],\n",
       "         [0.65079365, 1.71023437],\n",
       "         [0.73015873, 1.92079835],\n",
       "         [0.79365079, 1.52749226],\n",
       "         [0.80952381, 1.46627608],\n",
       "         [0.82539683, 1.44722929],\n",
       "         [0.87301587, 2.0563843 ],\n",
       "         [0.95238095, 1.45660565],\n",
       "         [0.88888889, 1.3568525 ],\n",
       "         [0.57142857, 2.29570129],\n",
       "         [0.66666667, 2.03528131],\n",
       "         [0.6984127 , 1.94431999],\n",
       "         [0.58730159, 1.94215089],\n",
       "         [0.85714286, 1.61701025],\n",
       "         [0.80952381, 1.89794594],\n",
       "         [0.82539683, 1.6292932 ],\n",
       "         [0.82539683, 1.76219235],\n",
       "         [0.9047619 , 1.53960136],\n",
       "         [0.79365079, 1.72352681],\n",
       "         [0.49206349, 2.21493087],\n",
       "         [0.66666667, 2.20989792],\n",
       "         [0.63492063, 2.19547352],\n",
       "         [0.68253968, 1.84593627],\n",
       "         [0.73015873, 1.94409362],\n",
       "         [0.74603175, 1.88301659],\n",
       "         [0.79365079, 2.41625194],\n",
       "         [0.80952381, 1.68364775],\n",
       "         [0.85714286, 1.60594027],\n",
       "         [0.84126984, 1.48833355],\n",
       "         [0.61904762, 2.27108215],\n",
       "         [0.66666667, 2.15035927],\n",
       "         [0.79365079, 1.94205566],\n",
       "         [0.77777778, 1.67094612],\n",
       "         [0.82539683, 1.94301289],\n",
       "         [0.9047619 , 1.46772608],\n",
       "         [0.9047619 , 1.46105861],\n",
       "         [0.85714286, 1.44635814],\n",
       "         [0.95238095, 1.40289878],\n",
       "         [0.93650794, 1.10508234],\n",
       "         [0.55555556, 2.28734189],\n",
       "         [0.76190476, 2.37855698],\n",
       "         [0.80952381, 1.99203727],\n",
       "         [0.77777778, 1.81026001],\n",
       "         [0.92063492, 1.58802787],\n",
       "         [0.88888889, 1.5765637 ],\n",
       "         [0.96825397, 1.31328045],\n",
       "         [0.93650794, 1.47106499],\n",
       "         [0.92063492, 1.26995562],\n",
       "         [0.96825397, 1.22483555],\n",
       "         [0.68253968, 1.71273515],\n",
       "         [0.6031746 , 2.22267302],\n",
       "         [0.82539683, 1.72084931],\n",
       "         [0.84126984, 1.5410571 ],\n",
       "         [0.77777778, 1.72372359],\n",
       "         [0.88888889, 1.32493719],\n",
       "         [0.92063492, 5.61500337],\n",
       "         [0.87301587, 1.35173384],\n",
       "         [0.9047619 , 1.18462826],\n",
       "         [0.93650794, 1.18353958],\n",
       "         [0.66666667, 1.72148657],\n",
       "         [0.66666667, 1.75968198],\n",
       "         [0.84126984, 1.9620393 ],\n",
       "         [0.79365079, 1.44708616],\n",
       "         [0.84126984, 1.33393454],\n",
       "         [0.87301587, 1.43701539],\n",
       "         [0.87301587, 1.09251833],\n",
       "         [0.85714286, 1.22919663],\n",
       "         [0.92063492, 1.1958862 ],\n",
       "         [0.9047619 , 1.37862455],\n",
       "         [0.47619048, 2.03794834],\n",
       "         [0.76190476, 1.66131834],\n",
       "         [0.73015873, 1.93942317],\n",
       "         [0.76190476, 1.65827849],\n",
       "         [0.76190476, 1.67517954],\n",
       "         [0.87301587, 1.47802251],\n",
       "         [0.85714286, 1.5809289 ],\n",
       "         [0.9047619 , 1.34411663],\n",
       "         [0.87301587, 1.23968072],\n",
       "         [0.88888889, 1.15773111],\n",
       "         [0.80952381, 2.1320954 ],\n",
       "         [0.79365079, 1.891051  ],\n",
       "         [0.85714286, 1.70803524],\n",
       "         [0.85714286, 1.39304992],\n",
       "         [0.93650794, 1.55383716],\n",
       "         [0.87301587, 1.30804114],\n",
       "         [0.93650794, 1.16188463],\n",
       "         [0.95238095, 1.42459301],\n",
       "         [0.96825397, 1.19511239],\n",
       "         [0.98412698, 1.66429639],\n",
       "         [0.73015873, 1.91405625],\n",
       "         [0.80952381, 1.96245078],\n",
       "         [0.85714286, 1.67766648],\n",
       "         [0.88888889, 2.33270957],\n",
       "         [0.88888889, 1.53842411],\n",
       "         [0.87301587, 1.28390961],\n",
       "         [0.93650794, 1.16715292],\n",
       "         [0.98412698, 1.1827314 ],\n",
       "         [0.93650794, 1.13906824],\n",
       "         [0.92063492, 1.67909734],\n",
       "         [0.66666667, 1.82137263],\n",
       "         [0.80952381, 1.6818757 ],\n",
       "         [0.84126984, 1.66196772],\n",
       "         [0.95238095, 1.56177047],\n",
       "         [0.92063492, 1.62560236],\n",
       "         [0.95238095, 1.29433396],\n",
       "         [0.96825397, 1.07837983],\n",
       "         [0.92063492, 1.85967101],\n",
       "         [0.93650794, 1.05066454],\n",
       "         [0.92063492, 1.00115009],\n",
       "         [0.55555556, 2.29245751],\n",
       "         [0.49206349, 1.98185069],\n",
       "         [0.3968254 , 2.89462424],\n",
       "         [0.41269841, 2.12749806],\n",
       "         [0.58730159, 2.17060817],\n",
       "         [0.53968254, 2.0301439 ],\n",
       "         [0.74603175, 1.80584411],\n",
       "         [0.58730159, 2.05207603],\n",
       "         [0.65079365, 3.51310886],\n",
       "         [0.76190476, 1.55560067],\n",
       "         [0.49206349, 1.84901716],\n",
       "         [0.63492063, 1.9390383 ],\n",
       "         [0.52380952, 1.80675544],\n",
       "         [0.61904762, 1.80936522],\n",
       "         [0.76190476, 1.47783849],\n",
       "         [0.79365079, 1.43054603],\n",
       "         [0.84126984, 1.49071225],\n",
       "         [0.80952381, 2.16870812],\n",
       "         [0.79365079, 1.14357999],\n",
       "         [0.85714286, 1.47934971],\n",
       "         [0.6031746 , 2.20045259],\n",
       "         [0.71428571, 2.01618325],\n",
       "         [0.68253968, 1.88615434],\n",
       "         [0.77777778, 2.1053539 ],\n",
       "         [0.82539683, 1.56548748],\n",
       "         [0.80952381, 1.45004927],\n",
       "         [0.92063492, 1.41276537],\n",
       "         [0.85714286, 1.47088234],\n",
       "         [0.88888889, 1.26756128],\n",
       "         [0.92063492, 1.35072234],\n",
       "         [0.68253968, 1.93934884],\n",
       "         [0.85714286, 1.6484861 ],\n",
       "         [0.79365079, 1.52622158],\n",
       "         [0.85714286, 1.6607793 ],\n",
       "         [0.87301587, 1.46880963],\n",
       "         [0.93650794, 1.47629734],\n",
       "         [0.93650794, 1.23123071],\n",
       "         [0.9047619 , 1.1228152 ],\n",
       "         [0.9047619 , 1.18824038],\n",
       "         [0.9047619 , 1.20159117]]),\n",
       "  '> 40.22': array([[0.47222222, 2.5541265 ],\n",
       "         [0.54166667, 2.20803893],\n",
       "         [0.69444444, 2.26475922],\n",
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       "         [0.81944444, 1.55830629]])}}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# TOTAL UGR + UPV agrupado por edad, genero y sexo\n",
    "# Cáculo de un diccionario con los promedios de los experimentos realizados filtrando por edad, sexo y experiencia.\n",
    "mean_result_agrupado = {\"genero\":{\"H\": None, \"M\": None}, \"experiencia\":{\"Si\": None, \"No\": None}, \"edad\": {\"<= 23.0\": None, \"(23.0, 40.22]\":None, \"> 40.22\":None}}\n",
    "contadores = {\"genero\":{\"H\": 0, \"M\": 0}, \"experiencia\":{\"Si\": 0, \"No\": 0}, \"edad\": {\"<= 23.0\": 0, \"(23.0, 40.22]\":0, \"> 40.22\":0}}\n",
    "for voluntario in voluntarios.values():\n",
    "    for fichero in voluntario[\"data_files\"]:\n",
    "        universidad = voluntario[\"universidad\"]\n",
    "        edad = voluntario[\"edad\"]\n",
    "        sexo = voluntario[\"genero\"]\n",
    "        experiencia = voluntario[\"experto\"]\n",
    "        data = scipy.io.loadmat(DATA_PATH + \"/\" + universidad + \"/\" + fichero)\n",
    "        result = np.array(data['Results'])\n",
    "        datos = np.array(data['datos'])[0]\n",
    "        \n",
    "        # pendiente promediar usuario\n",
    "        \n",
    "    if edad <= 23:\n",
    "        contadores[\"edad\"][\"<= 23.0\"] = contadores[\"edad\"][\"<= 23.0\"] + 1\n",
    "        if mean_result_agrupado[\"edad\"][\"<= 23.0\"] is None:\n",
    "            mean_result_agrupado[\"edad\"][\"<= 23.0\"] = result\n",
    "        else:\n",
    "            mean_result_agrupado[\"edad\"][\"<= 23.0\"] = mean_result_agrupado[\"edad\"][\"<= 23.0\"]+result\n",
    "    elif edad > 40.22:\n",
    "        contadores[\"edad\"][\"> 40.22\"] = contadores[\"edad\"][\"> 40.22\"]+1\n",
    "        if mean_result_agrupado[\"edad\"][\"> 40.22\"] is None:\n",
    "            mean_result_agrupado[\"edad\"][\"> 40.22\"] = result\n",
    "        else:\n",
    "            mean_result_agrupado[\"edad\"][\"> 40.22\"] = mean_result_agrupado[\"edad\"][\"> 40.22\"]+result\n",
    "    else:\n",
    "        contadores[\"edad\"][\"(23.0, 40.22]\"] = contadores[\"edad\"][\"(23.0, 40.22]\"]+1\n",
    "        if mean_result_agrupado[\"edad\"][\"(23.0, 40.22]\"] is None:\n",
    "            mean_result_agrupado[\"edad\"][\"(23.0, 40.22]\"] = result\n",
    "        else:\n",
    "            mean_result_agrupado[\"edad\"][\"(23.0, 40.22]\"] = mean_result_agrupado[\"edad\"][\"(23.0, 40.22]\"]+result\n",
    "            \n",
    "    if sexo == \"H\":\n",
    "        contadores[\"genero\"][\"H\"] = contadores[\"genero\"][\"H\"]+1\n",
    "        if mean_result_agrupado[\"genero\"][\"H\"] is None:\n",
    "            mean_result_agrupado[\"genero\"][\"H\"] = result\n",
    "        else:\n",
    "            mean_result_agrupado[\"genero\"][\"H\"] = mean_result_agrupado[\"genero\"][\"H\"]+result\n",
    "    else:\n",
    "        contadores[\"genero\"][\"M\"] = contadores[\"genero\"][\"M\"]+1\n",
    "        if mean_result_agrupado[\"genero\"][\"M\"] is None:\n",
    "            mean_result_agrupado[\"genero\"][\"M\"] = result\n",
    "        else:\n",
    "            mean_result_agrupado[\"genero\"][\"M\"] = mean_result_agrupado[\"genero\"][\"M\"]+result\n",
    "            \n",
    "    if experiencia:\n",
    "        contadores[\"experiencia\"][\"Si\"] = contadores[\"experiencia\"][\"Si\"]+1\n",
    "        if mean_result_agrupado[\"experiencia\"][\"Si\"] is None:\n",
    "            mean_result_agrupado[\"experiencia\"][\"Si\"] = result\n",
    "        else:\n",
    "            mean_result_agrupado[\"experiencia\"][\"Si\"] = mean_result_agrupado[\"experiencia\"][\"Si\"]+result\n",
    "    else:\n",
    "        contadores[\"experiencia\"][\"No\"] = contadores[\"experiencia\"][\"No\"]+1\n",
    "        if mean_result_agrupado[\"experiencia\"][\"No\"] is None:\n",
    "            mean_result_agrupado[\"experiencia\"][\"No\"] = result\n",
    "        else:\n",
    "            mean_result_agrupado[\"experiencia\"][\"No\"] = mean_result_agrupado[\"experiencia\"][\"No\"]+result\n",
    "\n",
    "mean_result_agrupado[\"edad\"][\"<= 23.0\"] = mean_result_agrupado[\"edad\"][\"<= 23.0\"]/contadores[\"edad\"][\"<= 23.0\"]            \n",
    "mean_result_agrupado[\"edad\"][\"> 40.22\"] = mean_result_agrupado[\"edad\"][\"> 40.22\"]/contadores[\"edad\"][\"> 40.22\"]         \n",
    "mean_result_agrupado[\"edad\"][\"(23.0, 40.22]\"] = mean_result_agrupado[\"edad\"][\"(23.0, 40.22]\"]/contadores[\"edad\"][\"(23.0, 40.22]\"]          \n",
    "mean_result_agrupado[\"genero\"][\"H\"] = mean_result_agrupado[\"genero\"][\"H\"]/contadores[\"genero\"][\"H\"]         \n",
    "mean_result_agrupado[\"genero\"][\"M\"] = mean_result_agrupado[\"genero\"][\"M\"]/contadores[\"genero\"][\"M\"]         \n",
    "mean_result_agrupado[\"experiencia\"][\"Si\"] = mean_result_agrupado[\"experiencia\"][\"Si\"]/contadores[\"experiencia\"][\"Si\"]           \n",
    "mean_result_agrupado[\"experiencia\"][\"No\"] = mean_result_agrupado[\"experiencia\"][\"No\"]/contadores[\"experiencia\"][\"No\"] \n",
    "\n",
    "# Exportar a un diccionario\n",
    "with open(PATH_VARIABLES+\"/mean_result_agrupado.pkl\", 'wb') as archivo:\n",
    "    pickle.dump(mean_result_agrupado, archivo)\n",
    "    \n",
    "\n",
    "print(contadores)\n",
    "mean_result_agrupado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8fd0acb2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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