So far I was working under the assumption that the numpy array implementation can be used as a drop-in replacement for native python lists, i.e. wherever I see a list 'a' and I want to speed up my numerical calculations I just replace it with 'numpy.array( a )' and everything will work just as before. It took me about half a day to track down a bug which was a result of this assumption being wrong.
The fact that the following two outputs are not the same is a bug or a feature of numpy? ##### I would have thought the two array outputs would be the same ###### import numpy a = [ [ 0, 0 ], [ 1, 0 ], [ 1, 1 ] ] pythonarray = a pythonarray.sort( ) print pythonarray numpyarray = numpy.array( a ) numpyarray.sort( ) print numpyarray ################################################################# -- Psss, psss, put it down! - http://www.cafepress.com/putitdown -- http://mail.python.org/mailman/listinfo/python-list
