Hi Bobby, It seems numpy in Spyder/Anaconda distribution defaults to 32 bit integers, and the largest multiplication overflows giving a wrong result:
Python 3.6.2 |Anaconda, Inc.| (default, Sep 19 2017, 08:03:39) [MSC v.1900 64 bit (AMD64)] In: np.product([5, 5, 7, 6, 6, 8, 9, 6, 6, 4, 8, 9, 5]) Out: 2039787520 In: np.product([5, 5, 7, 6, 6, 8, 9, 6, 6, 4, 8, 9, 5],dtype="int32") Out: 2039787520 In: np.product([5, 5, 7, 6, 6, 8, 9, 6, 6, 4, 8, 9, 5],dtype="int64") Out: 23514624000 Regards, Olli -- You received this message because you are subscribed to the Google Groups "spyder" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/spyderlib. For more options, visit https://groups.google.com/d/optout.
