>> 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 >> >> ################################################################# > > > What is the output? >
In the first case: [[0, 0], [1, 0], [1, 1]] While in the second: [[0, 0], [0, 1], [1, 1]] Cheers, Daniel -- Psss, psss, put it down! - http://www.cafepress.com/putitdown -- http://mail.python.org/mailman/listinfo/python-list
