npy文件格式记录在numpy的NEP
1中-NumPy数组的简单文件格式。
例如，代码
>>> dt=numpy.dtype([('outer','(3,)<i4'),... ('outer2',[('inner','(10,)<i4'),('inner2','f8')])])>>> a=numpy.array([((1,2,3),((10,11,12,13,14,15,16,17,18,19),3.14)),... ((4,5,6),((-1,-2,-3,-4,-5,-6,-7,-8,-9,-20),6.28))],dt)>>> numpy.save('1.npy', a)结果在文件中：
93 4E 55 4D 50 59magic ("x93NUMPY")01 major version (1)00 minor version (0)96 00 HEADER_LEN (0x0096 = 150)7B 27 64 65 73 63 72 27 3A 20 5B 28 27 6F 75 74 65 72 27 2C 20 27 3C 69 34 27 2C 20 28 33 2C 29 29 2C 20 28 27 6F 75 74 65 72 32 27 2C 20 5B 28 27 69 6E 6E 65 72 27 2C 20 27 3C 69 34 27 2C 20 28 31 30 2C 29 29 2C 20 28 27 69 6E 6E 65 72 32 Header, describing the data structure27 2C 20 27 3C 66 38 27 "{'descr': [('outer', '<i4', (3,)),29 5D 29 5D 2C 20 27 66 ('outer2', [6F 72 74 72 61 6E 5F 6F ('inner', '<i4', (10,)), 72 64 65 72 27 3A 20 46 ('inner2', '<f8')]61 6C 73 65 2C 20 27 73 )],68 61 70 65 27 3A 20 28 'fortran_order': False,32 2C 29 2C 20 7D 20 20 'shape': (2,), }"20 20 20 20 20 20 20 20 20 20 20 20 20 0A01 00 00 00 02 00 00 00 03 00 00 00 (1,2,3)0A 00 00 00 0B 00 00 00 0C 00 00 000D 00 00 00 0E 00 00 00 0F 00 00 0010 00 00 00 11 00 00 00 12 00 00 0013 00 00 00 (10,11,12,13,14,15,16,17,18,19)1F 85 EB 51 B8 1E 09 40 3.1404 00 00 00 05 00 00 00 06 00 00 00 (4,5,6)FF FF FF FF FE FF FF FF FD FF FF FFFC FF FF FF FB FF FF FF FA FF FF FFF9 FF FF FF F8 FF FF FF F7 FF FF FF EC FF FF FF (-1,-2,-3,-4,-5,-6,-7,-8,-9,-20)1F 85 EB 51 B8 1E 19 40 6.28
