method
MaskedArray.reshape(self, *s, **kwargs)
[source]
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: 


Returns: 

See also
reshape
numpy.ndarray.reshape
numpy.reshape
The reshaping operation cannot guarantee that a copy will not be made, to modify the shape in place, use a.shape = s
>>> x = np.ma.array([[1,2],[3,4]], mask=[1,0,0,1]) >>> x masked_array( data=[[, 2], [3, ]], mask=[[ True, False], [False, True]], fill_value=999999) >>> x = x.reshape((4,1)) >>> x masked_array( data=[[], [2], [3], []], mask=[[ True], [False], [False], [ True]], fill_value=999999)
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.ma.MaskedArray.reshape.html