ndarray.view(dtype=None, type=None) New view of array with the same data.
recarray.take(indices, axis=None, out=None, mode='raise') Return an array formed from the elements of a at the
recarray.getfield(dtype, offset=0) Returns a field of the given array as a certain type. A field is a view of
matrix.transpose(*axes) Returns a view of the array with axes transposed. For a 1-D array, this has no effect.
ndarray.transpose(*axes) Returns a view of the array with axes transposed. For a 1-D array, this has no effect
generic.nbytes length of item in bytes
recarray.byteswap(inplace) Swap the bytes of the array elements Toggle between low-endian and big-endian data
matrix.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n in indices. Refer
ndarray.astype(dtype, order='K', casting='unsafe', subok=True, copy=True) Copy of the array, cast to a specified type.
record.squeeze() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and
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