chart.py 文件源码

def feature_distribution(self):
        k = 0
        for feature_column in self.feature:
            fc = numpy.nan_to_num(feature_column)
            mean = numpy.mean(fc)
            var = numpy.var(fc)
            max_value = numpy.max(fc)
            min_value = numpy.min(fc)
            print("[%s_th feature] mean: %s, var: %s, max: %s, min: %s" % (k, mean, var, max_value, min_value))
            k = k + 1