http://blog.csdn.net/zenghaitao0128/article/details/78512715

reshape函數：改變數組的維數（注意不是shape大小）

>>> 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]]])

squeeze 函數：從數組的形狀中刪除單維度條目，即把shape中為1的維度去掉

用法：numpy.squeeze(a,axis = None)

1）a表示輸入的數組；2）axis用于指定需要刪除的維度，但是指定的維度必須為單維度，否則將會報錯；3）axis的取值可為None 或 int 或 tuple of ints, 可選。若axis為空，則刪除所有單維度的條目；4）返回值：數組5) 不會修改原數組；

>>> 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])

體現在畫圖時

>>> 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 plotret = ax.plot(*args, **kwargs)File "C:\Python27\lib\site-packages\matplotlib\__init__.py", line 1710, in innerreturn func(ax, *args, **kwargs)File "C:\Python27\lib\site-packages\matplotlib\axes\_axes.py", line 1437, in plotfor line in self._get_lines(*args, **kwargs):File "C:\Python27\lib\site-packages\matplotlib\axes\_base.py", line 404, in _grab_next_argsfor seg in self._plot_args(this, kwargs):File "C:\Python27\lib\site-packages\matplotlib\axes\_base.py", line 384, in _plot_argsx, 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,)

通過np.squeeze()函數轉換后，要顯示的數組變成了秩為1的數組，即（10，）

參考：http://blog.csdn.net/zenghaitao0128/article/details/78512715

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