1 import numpy as np 2 a = np.arange(15).reshape(3,5) 3 a
array([[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14]])
np.average(a, axis=0,weights=(10, 5, 1))
array([ 2.1875, 3.1875, 4.1875, 5.1875, 6.1875])
axis=0 对最外层维度元素计算, weights=(10, 5, 1) 给投的权重分别为10 ,5 , 1
[ 2.1875, 3.1875, 4.1875, 5.1875, 6.1875] = ( 10*[ 0, 1, 2, 3, 4] + 5*[ 5, 6, 7, 8, 9] + 1*[10, 11, 12, 13, 14]) / (10+5+1)
时间: 2024-10-06 02:13:03