numpy.ma.MaskedArray.reshape — NumPy v1.13 Manual (original) (raw)
MaskedArray. reshape(*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: | shape : int or tuple of ints The new shape should be compatible with the original shape. If an integer is supplied, then the result will be a 1-D array of that length. order : {‘C’, ‘F’}, optional Determines whether the array data should be viewed as in C (row-major) or FORTRAN (column-major) order. |
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| Returns: | reshaped_array : array A new view on the array. |
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] [--]]