def update_logger_entry(self,i):
        """
        helper function that given a index in this objects fit_list parameter inserts a entry at that index
        @param: i -> index in fit_list to find the (specimen_name,fit object) tup that determines all the data for this logger entry.
        """
        if i < len(self.fit_list):
            tup = self.fit_list[i]
        elif i < self.logger.GetItemCount():
            self.logger.DeleteItem(i)
            return
        else: return

        coordinate_system = self.parent.COORDINATE_SYSTEM
        fit = tup[0]
        pars = fit.get(coordinate_system)
        fmin,fmax,n,ftype,dec,inc,mad,dang,a95,sk,sr2 = "","","","","","","","","","",""

        specimen = tup[1]
        if coordinate_system=='geographic':
            block_key = 'zijdblock_geo'
        elif coordinate_system=='tilt-corrected':
            block_key = 'zijdblock_tilt'
        else:
            block_key = 'zijdblock'

        name = fit.name
        if pars == {} and self.parent.Data[specimen][block_key] != []:
            fit.put(specimen, coordinate_system, self.parent.get_PCA_parameters(specimen,fit,fit.tmin,fit.tmax,coordinate_system,fit.PCA_type))
            pars = fit.get(coordinate_system)
        if self.parent.Data[specimen][block_key]==[]:
            spars = fit.get('specimen')
            fmin = fit.tmin
            fmax = fit.tmax
            if 'specimen_n' in list(spars.keys()): n = str(spars['specimen_n'])
            else: n = 'No Data'
            if 'calculation_type' in list(spars.keys()): ftype = spars['calculation_type']
            else: ftype = 'No Data'
            dec = 'No Data'
            inc = 'No Data'
            mad = 'No Data'
            dang = 'No Data'
            a95 = 'No Data'
            sk = 'No Data'
            sr2 = 'No Data'
        else:
            if 'measurement_step_min' in list(pars.keys()): fmin = str(fit.tmin)
            else: fmin = "N/A"
            if 'measurement_step_max' in list(pars.keys()): fmax = str(fit.tmax)
            else: fmax = "N/A"
            if 'specimen_n' in list(pars.keys()): n = str(pars['specimen_n'])
            else: n = "N/A"
            if 'calculation_type' in list(pars.keys()): ftype = pars['calculation_type']
            else: ftype = "N/A"
            if 'specimen_dec' in list(pars.keys()): dec = "%.1f"%pars['specimen_dec']
            else: dec = "N/A"
            if 'specimen_inc' in list(pars.keys()): inc = "%.1f"%pars['specimen_inc']
            else: inc = "N/A"
            if 'specimen_mad' in list(pars.keys()): mad = "%.1f"%pars['specimen_mad']
            else: mad = "N/A"
            if 'specimen_dang' in list(pars.keys()): dang = "%.1f"%pars['specimen_dang']
            else: dang = "N/A"
            if 'specimen_alpha95' in list(pars.keys()): a95 = "%.1f"%pars['specimen_alpha95']
            else: a95 = "N/A"
            if 'specimen_k' in list(pars.keys()): sk = "%.1f"%pars['specimen_k']
            else: sk = "N/A"
            if 'specimen_r' in list(pars.keys()): sr2 = "%.1f"%pars['specimen_r']
            else: sr2 = "N/A"

        if self.search_query != "":
            entry = (specimen+name+fmin+fmax+n+ftype+dec+inc+mad+dang+a95+sk+sr2).replace(" ","").lower()
            if self.search_query not in entry:
                self.fit_list.pop(i)
                if i < self.logger.GetItemCount():
                    self.logger.DeleteItem(i)
                return "s"
        for e in (specimen,name,fmin,fmax,n,ftype,dec,inc,mad,dang,a95,sk,sr2):
            if e not in self.search_choices:
                self.search_choices.append(e)

        if i < self.logger.GetItemCount():
            self.logger.DeleteItem(i)
        self.logger.InsertItem(i, str(specimen))
        self.logger.SetItem(i, 1, name)
        self.logger.SetItem(i, 2, fmin)
        self.logger.SetItem(i, 3, fmax)
        self.logger.SetItem(i, 4, n)
        self.logger.SetItem(i, 5, ftype)
        self.logger.SetItem(i, 6, dec)
        self.logger.SetItem(i, 7, inc)
        self.logger.SetItem(i, 8, mad)
        self.logger.SetItem(i, 9, dang)
        self.logger.SetItem(i, 10, a95)
        self.logger.SetItem(i, 11, sk)
        self.logger.SetItem(i, 12, sr2)
        self.logger.SetItemBackgroundColour(i,"WHITE")
        a,b = False,False
        if fit in self.parent.bad_fits:
            self.logger.SetItemBackgroundColour(i,"red")
            b = True
        if self.parent.current_fit == fit:
            self.logger.SetItemBackgroundColour(i,"LIGHT BLUE")
            self.logger_focus(i)
            self.current_fit_index = i
            a = True
        if a and b:
            self.logger.SetItemBackgroundColour(i,"red")
helper function that given a index in this objects fit_list parameter inserts a entry at that index
        @param: i -> index in fit_list to find the (specimen_name,fit object) tup that determines all the data for this logger entry.