Numpy: views vs copy by slicing

Question

When I am doing the slicing, an unexpected thing happened that seems the first to be view but the second is copy.

First

First slice of row, then slice of

Answer 1

This is my understanding, for your reference

a[0:3:2, :]                     # basic indexing, a view
... = a[0:3:2, :][:, [0, 2]]    # getitme version, a copy,
                                # because you use advanced
                                # indexing [:,[0,2]]
a[0:3:2, :][:, [0, 2]] = ...    # howver setitem version is
                                # like a view, setitem version
                                # is different from getitem version,
                                # this is not c++
a[:, [0, 2]]                    # getitem version, a copy,
                                # because you use advanced indexing
a[:, [0, 2]][0:3:2, :] = 0      # the copy is modied,
                                # but a keeps unchanged.

If I have any misunderstanding, please point it out.