gini

More efficient weighted Gini coefficient in Python Question: Per https://stackoverflow.com/a/48981834/1840471, this is an implementation of the weighted Gini coefficient in Python: import numpy as np def gini(x, weights=None): if weights is None: weights = np.ones_like(x) # Calculate mean absolute deviation in two steps, for weights. count = np.multiply.outer(weights, weights) mad = np.abs(np.subtract.outer(x, x) * count).sum() …