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Fancy Indexing Vs Views In Numpy

I'm confused by another part of the article in the attached link: https://scipy-cookbook.readthedocs.io/items/ViewsVsCopies.html In the section 'But fancy indexing does seem to ret

Solution 1:

The reason is the way Python works.

The first statement calls the setitem method, the second getitem. The first one doesn't create a new object, but the second will (for fancy indexing, it will create a view for regular indexing).

And of course, we want this behavior so that we can set some values in an array that are not "regular" and where a view would not work.

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