numpy的squeeze函数使用方法

>>> e= np.arange(10)
>>> e
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> e.reshape(1,1,10)
array([[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]])
>>> e.reshape(1,1,10)
array([[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]])
>>> e.reshape(1,10,1)
array([[[0],
    [1],
    [2],
    [3],
    [4],
    [5],
    [6],
    [7],
    [8],
    [9]]])

>>> a = e.reshape(1,1,10)
>>> a
array([[[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]])
>>> np.squeeze(a)
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])

>>> plt.plot(a)
Traceback (most recent call last):
 File "<stdin>", line 1, in <module>
 File "C:\Python27\lib\site-packages\matplotlib\pyplot.py", line 3240, in plot
  ret = ax.plot(*args, **kwargs)
 File "C:\Python27\lib\site-packages\matplotlib\__init__.py", line 1710, in inner
  return func(ax, *args, **kwargs)
 File "C:\Python27\lib\site-packages\matplotlib\axes\_axes.py", line 1437, in plot
  for line in self._get_lines(*args, **kwargs):
 File "C:\Python27\lib\site-packages\matplotlib\axes\_base.py", line 404, in _grab_next_args
  for seg in self._plot_args(this, kwargs):
 File "C:\Python27\lib\site-packages\matplotlib\axes\_base.py", line 384, in _plot_args
  x, y = self._xy_from_xy(x, y)
 File "C:\Python27\lib\site-packages\matplotlib\axes\_base.py", line 246, in _xy_from_xy
  "shapes {} and {}".format(x.shape, y.shape))
ValueError: x and y can be no greater than 2-D, but have shapes (1L,) and (1L, 1L, 10L)
>>> plt.plot(np.squeeze(a))
[<matplotlib.lines.Line2D object at 0x00000000146CD940>]
>>> plt.show()

>>> np.squeeze(a).shape
(10L,)