On Wednesday 26 March 2008 15:42:41 Chris Withers wrote: > Pierre GM wrote: > > My bad, I neglected an overall doc for the functions and their docstring. > > But you know what ? As you're now at an intermediary level, > > That's pretty unkind to your userbase. I know a lot about python, but > I'm a total novice with numpy and even the maths it's based on.
My bosses have different priorities and keep on recalling me that spending time writing Python code is not what I was hired to do, and that should be writing scientific papers by the dozen. Let's say that I'm just playing middle ground to the best of my capacities. And time. > > help: just write down the problems you encountered, and the solutions you > > came up with, so that we could use your experience as the backbone for a > > proper MaskedArray documentation > > Blind leading the blind seems like a terrible idea to me... You're no longer a complete neophyte, so you're not that blind, but are still experiencing the tough part of the learning curve. I took things for granted nowadays (for example, dtypes) that are not obvious for the absolute beginners, that's exactly where you can play your role: remind me what it is to be blind so that I can help you more, start some simple doc pages on the wiki that the community can edit/append. > NaN/inf is still NaN in my books, so why would I be surprised by this? Because with a regular ndarray with no NaNs initially, you could end up with NaNs and Infs with some operations. With MaskedArray, you don't. > >> I'd argue that the masked singleton having a different fill value to the > >> ma it comes from is a bug. > > > > "It's not a bug, it's a feature"TM > > One which sucks and is unintuitive. I can understand the unintuitive part to a certain extent, I won't comment on the first aspect however, you know, tastes, colors, snails, oysters, that kind of thing. On top of that, I could kick into touch and say that it's needed for backwards compatibility. > >>> x[-1] = Masked(fill_value=50) > >>> isinstance(x[-1],Masked) > > True > > ...which gives you what you want without forcing me to experience the > resultant suck. Yeah, that's a possibility. Feel free to implement it so that we can compare the two approaches. I still don understand why you really need to have a particular fill_value for the masked constant anyway: what are you trying to do exactly ? _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion