在 scipy.stats 中定义用于 trapz 分布的 pdf 背后的逻辑

Question

need help to understand the logic behind defining the pdf for trapz distribution in scipy.stats.

From Github Scipy.Stats repository its coded as:-

def _pdf(self, x, c, d):
    u = 2 / (d-c+1)

    return _lazyselect([x < c,
                        (c <= x) & (x <= d),
                        x > d],
                       [lambda x, c, d, u: u * x / c,
                        lambda x, c, d, u: u,
                        lambda x, c, d, u: u * (1-x) / (1-d)],
                        (x, c, d, u))

Answer 1

It's basically a chain of if x < c: ... elif c < x < d: ... elif d < x: ... , only for array-valued arguments. Eg, If you have an array x , different of its elements need different branches of this if-elif chain.