dmitrey wrote: > As for me I can't understand the general rule: when numpy funcs return > copy and when reference? > > For example why x.fill() returns None (do inplace modification) while > x.ravel(), x.flatten() returns copy? Why the latters don't do inplace > modification, as should be expected?
I take the rule to be to return the result when it is a copy or a change of view. So, these seem quite right, taken one at a time. E.g., ``a.fill()`` changes `a` in place, and so returns None. It does not make sense to think of ``ravel`` as doing an in-place modification, it is just a change of view (if possible). And ``flatten`` is specifically for insisting on a copy rather than a change of view. Or so I understand things. Alan Isaac _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
