大家好 最近在学习Python Data Visulization，利用一个叫做is_outlier的函数找出资料里的outlier: def is_outlier(points, threshold = 3.5): if len(points.shape) == 1: points = points[:,None] median = np.median(points, axis = 0) diff = np.sum((points = median)**2, axis = -1) diff = np.sqrt(diff) med_abs_deviation = np.median(diff) modified_z_score = 0.6745*diff/med_abs/deviation return modified_z_score > threshold x = np.random.randmon(100) x = no.r_[x, -49, 95, 100, -100] filtered = x[~is_outlier(x)] 想请教大家，在函数内的points[:,None]是什麽意思? 还有为何filtered的值会是剔除outlier的numpy array呢? 是因为return modified_z_score > threshold这个判断式会对整个array里的值做判断，然後True的值就放到filtered里面吗? --

※ 发信站: 批踢踢实业坊(ptt.cc), 来自: 42.72.117.101 ※ 文章网址: https://webptt.com/cn.aspx?n=bbs/Python/M.1500964702.A.539.html