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# numpy.ma.MaskedArray.reshape

`MaskedArray.``reshape`(*s, **kwargs)

  Returns a masked array containing the data of a, but with a new shape. The result is a view to the original array; if this is not possible, a ValueError is raised.

  Parameters: | shape : shape tuple or int The new shape should be compatible with the original shape. If an integer, then the result will be a 1D array of that length. order : {‘C’, ‘F’}, optional Determines whether the array data should be viewed as in C (row-major) order or FORTRAN (column-major) order.
  Returns: | reshaped_array : array A new view to the array.

  Notes

  If you want to modify the shape in place, please 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]
       [--]]

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