Vincent, As a generic rule, this warning is output when the masked value (numpy.ma.masked) has to be converted to a float: in that case, a NaN is returned. Now, the exact reason why the masked value has to be converted is specific to your problem. A simple example of when this warning occurs would help to give you a detailed answer. Note that in the previous version (numpy.oldnumeric.ma), an exception was raised instead of a warning. I thought it was a bit too drastic.
> Does > it mean that numpy.ma is converting an element of the data part of the > MA to NaN, on it's own? No, it shouldn't affect the data part. > Or does it mean that I > deliberatly have changed a data element to NaN, and if so, why on earth > should I be warned for that? I think it is pretty normal to be able to > create NaN's in my array... Or does it mean yet something else? Take it as a note-to-self: somewhere down the line, a masked value had to be converted to a float, not a 0d array > And, also important: how can I avoid this (not suppress, but what should > I stop doing that currently triggers this warning)? Once again, that depends, and I;m sorry I can be more specific than that: I don't have a particular example in mind... _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
