Question

我可以像这样生成一个数组：

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，如：

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]])

Answer 1

你写的输出看起来不正确的方法，如果你的意思是6x6阵列那么就是：

IMAGE

请注意，这里有一组外方括号，与您想要的输出相比......

稍微紧凑（>>> 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]])可以采用多个args）并且可能更快（.reshape thx @jadsq）：

np.arange

在numpy中生成nxn数组

1 个答案: