出于好奇+ 1,是有具体numpy的函数来执行以下操作(这将假想更快):平均元件的i和i在numpy的阵列
a = np.array((0,2,4))
b = np.zeros(len(a) - 1)
for i in range(len(b)):
b[i] = a[i:i+2].mean()
print(b)
#prints [1,3]
干杯
出于好奇+ 1,是有具体numpy的函数来执行以下操作(这将假想更快):平均元件的i和i在numpy的阵列
a = np.array((0,2,4))
b = np.zeros(len(a) - 1)
for i in range(len(b)):
b[i] = a[i:i+2].mean()
print(b)
#prints [1,3]
干杯
我不这么认为... – rubik 2011-05-05 14:14:42