它可能更快更容易使用
numpy.digitize()：
import numpydata = numpy.random.random(100)bins = numpy.linspace(0, 1, 10)digitized = numpy.digitize(data, bins)bin_means = [data[digitized == i].mean() for i in range(1, len(bins))]
替代方法是使用
numpy.histogram()：
bin_means = (numpy.histogram(data, bins, weights=data)[0] / numpy.histogram(data, bins)[0])
自己尝试哪个更快… :)
