I have some array:
array = np.array([[1, 0], [1, 0], [1, 0]])
I want to calculate np.kron in a such manner:
def func(array):
res = array[0]
for i in range(1, len(array)):
res = np.kron(res, array[i])
return res
But how to do it in a more numpy way?
I tried np.apply_along_axis :
res = np.apply_along_axis(np.kron, 1, array)
But I didn't succeed.
我不知道它是否更“ numpy”,但是绝对更Python化的方法是使用reduce内置函数:
reduce(np.kron, array)
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.