def do_bestfit(self):
        """
        Method to get fit_args after getting necessary variables
        """
        self.check_important_variables()
        logx = np.log(self.args["x"])
        logy = np.log(self.args["y"])
        self.fit_args_log = np.polyfit(logx, logy, 1)
        self.fit_args = self.fit_args_log[:]
        self.fit_args[1] = np.exp(self.fit_args[1])
        self.done_bestfit = True
        return self.fit_args
def do_bestfit ( self ) : self . check_important_variables ( ) logx = np . log ( self . args [ "x" ] ) logy = np . log ( self . args [ "y" ] ) self . fit_args_log = np . polyfit ( logx , logy , 1 ) self . fit_args = self . fit_args_log [ : ] self . fit_args [ 1 ] = np . exp ( self . fit_args [ 1 ] ) self . done_bestfit = True return self . fit_args
Method to get fit_args after getting necessary variables