1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | >>> a = np.arange(0,12)
>>> a.shape = 3,4
>>> a
array([[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
[ 8, 9, 10, 11]])
>>> a.tofile("a.bin")
>>> b = np.fromfile("a.bin", dtype=np.float) # 按照float类型读入数据
>>> b # 读入的数据是错误的
array([ 2.12199579e-314, 6.36598737e-314, 1.06099790e-313,
1.48539705e-313, 1.90979621e-313, 2.33419537e-313])
>>> a.dtype # 查看a的dtype
dtype('int32')
>>> b = np.fromfile("a.bin", dtype=np.int32) # 按照int32类型读入数据
>>> b # 数据是一维的
array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11])
>>> b.shape = 3, 4 # 按照a的shape修改b的shape
>>> b
array([[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
[ 8, 9, 10, 11]])
|
