我可以生成这样的数组:
arr = np.array(range(0,36))
arr
#Output
array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33,
34, 35])
我的问题是如何生成NXN数组:
array([[ 0, 1, 2, 3, 4, 5],
[6, 7, 8, 9, 10, 11],
[12, 13, 14, 15, 16, 17],
[18, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 29],
[30, 31, 32, 33, 34, 35]])
您编写的方式看起来不正确,如果您是指一个6x6数组,则可以:
>>> arr = np.array(range(0,36)).reshape((6,6))
>>> arr
array([[ 0, 1, 2, 3, 4, 5],
[ 6, 7, 8, 9, 10, 11],
[12, 13, 14, 15, 16, 17],
[18, 19, 20, 21, 22, 23],
[24, 25, 26, 27, 28, 29],
[30, 31, 32, 33, 34, 35]])
请注意,与您所需的输出相比,这里有一组外部方括号...
一个更紧凑的(.reshape
可以采用多个ARG(,并且可能更快的方法(np.arange
THX @jadsq(:
np.array(np.arange(36)).reshape(6,6)