Give a new shape to the array without changing its data.
Returns a masked array containing the same data, but with a new shape. The result is a view on the original array; if this is not possible, a ValueError is raised.
Parameters :  shape : int or tuple of ints
order : {‘C’, ‘F’}, optional


Returns :  reshaped_array : array

See also
Notes
The reshaping operation cannot guarantee that a copy will not be made, to modify the shape in place, use a.shape = s
Examples
>>> x = np.ma.array([[1,2],[3,4]], mask=[1,0,0,1])
>>> print x
[[ 2]
[3 ]]
>>> x = x.reshape((4,1))
>>> print x
[[]
[2]
[3]
[]]