1. 创建一般的多维数组
import numpy as np
a = np.array([1,2,3], dtype=int)
type(a)
a.shape
a.dtype.name
a.size
a.itemsize
b=np.array([1,2,3],[4,5,6], dtype=int)
b.shape
b.size
b.itemsize
c = np.ones((2,3,4), dtype = np.int16)
2.
a = [[[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]]]
a = np.array(
[[[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]]]
)
a[: , : , ::-1]
b= np.array(
[[[1,2,3,0,0],[4,5,6,0,0],[7,8,9,0,0]],
[[10,11,12,0,0],[13,14,15,0,0],[16,17,18,0,0]],
[[19,20,21,0,0],[22,23,24,0,0],[25,26,27,0,0]],
[[28,29,30,0,0],[31,32,33,0,0],[34,35,36,0,0]]
]
)
c= np.array(
[[[1,2,3,0,0],[4,5,6,0,0],[7,8,9,0,0],[0,0,0,0,0]],
[[10,11,12,0,0],[13,14,15,0,0],[16,17,18,0,0],[0,0,0,0,0]],
[[19,20,21,0,0],[22,23,24,0,0],[25,26,27,0,0],[0,0,0,0,0]],
[[28,29,30,0,0],[31,32,33,0,0],[34,35,36,0,0],[0,0,0,0,0]]
]
)