相关疑难解决方法(0)

我正在计算基尼系数(类似于:Python - 使用Numpy计算基尼系数),但我得到一个奇怪的结果.对于从中采样的均匀分布np.random.rand(),基尼系数为0.3,但我预计它将接近于0(完全相等).这里出了什么问题？

def G(v):
    bins = np.linspace(0., 100., 11)
    total = float(np.sum(v))
    yvals = []
    for b in bins:
        bin_vals = v[v <= np.percentile(v, b)]
        bin_fraction = (np.sum(bin_vals) / total) * 100.0
        yvals.append(bin_fraction)
    # perfect equality area
    pe_area = np.trapz(bins, x=bins)
    # lorenz area
    lorenz_area = np.trapz(yvals, x=bins)
    gini_val = (pe_area - lorenz_area) / float(pe_area)
    return bins, yvals, gini_val

v = np.random.rand(500)
bins, result, gini_val = G(v)
plt.figure()
plt.subplot(2, 1, 1)
plt.plot(bins, result, …