On Thu, Dec 1, 2011 at 15:47, Pierre Haessig <pierre.haes...@crans.org> wrote: > Le 01/12/2011 14:52, Thouis (Ray) Jones a écrit : >> Is this expected behavior? >> >>>>> np.array([-345,4,2,'ABC']) >> array(['-34', '4', '2', 'ABC'], dtype='|S3') >> >> > With my numpy 1.5.1, I got indeed a different result: > > In [1]: np.array([-345,4,2,'ABC']) > Out[1]: > array(['-345', '4', '2', 'ABC'], > dtype='|S8')
This is closer to what I would expect. > The type casting is a bit different, and actually may better match what > you expect, but still a casting is required > (i.e. you cannot have a "numpy.array() of mixed integers and strings" > because numpy arrays only store *homogenous* sets of data) Of course, but when converting from a non-homogenous python list, I would expect it to do something reasonable (or at least not as bad as turning -345 into '-34'). > Now one question remains for me : why use a numpy array to store a few > strings, and not just a regular Python list ? It was a small test case. The actual data is much larger. Ray Jones _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
