DataProcessor.py 文件源码

def calculate_IDL(self, data_lst, Concentration, debug_on):
        DegreesOfFreedom = len(data_lst) - 1
        if DegreesOfFreedom < 1:
            return 'PoorSensitivity'
        Ta = self.T_Table_99Confidence.get(DegreesOfFreedom, "TooMany")
        if debug_on == True:
            print('DegreesOfFreedom: ', DegreesOfFreedom)
            print('Concentration,: ', Concentration)
            print('data_lst: ', data_lst)
        if Ta == "TooMany":
            raise Exception('There are more than 21 data values for the IDL calculation and therefore not enough degrees of freedom in T_Table_99Confidence dictionary.')
        Averge = statistics.mean(data_lst)
        StandardDeviation = statistics.stdev(data_lst)
        RSD = (StandardDeviation/Averge) * 100

        return round(((Ta * RSD * Concentration)/100),2)