array , asarray, len , shape, np.squeeze , [0,0:4]

http://blog.csdn.net/lanchunhui/article/details/55657040

>>> g = np.array([[  40.47109199 , -10.01622954 , 275.29573762 , 311.23186909   , 0.99994779]]

>>> print g
[[  40.47109199  -10.01622954  275.29573762  311.23186909    0.99994779]]
>>> len(g)
1

>>> g.shape
(1, 5)

import numpy as np

x = np.array([[[0], [1], [2]]])
print(x)
"""
x=

[[[0]
  [1]
  [2]]]
"""
print(x.shape)  # (1, 3, 1)

x1 = np.squeeze(x)  # 从数组的形状中删除单维条目，即把shape中为1的维度去掉


print(x1)  # [0 1 2]
print(x1.shape)  # (3,)

>>> y1 = np.array([[  40.47109199 , -10.01622954 , 275.29573762 , 311.23186909  ,  0.99994779]])
>>> y1
array([[  40.47109199,  -10.01622954,  275.29573762,  311.23186909,
           0.99994779]])
>>> y1[0,0:4]
array([  40.47109199,  -10.01622954,  275.29573762,  311.23186909])
>>> y1[0,0:0]
array([], dtype=float64)
>>> y1[0,0:1]
array([ 40.47109199])
>>> y1[0,0:5]
array([  40.47109199,  -10.01622954,  275.29573762,  311.23186909,
          0.99994779])