Ah I see, I will now be aware of that in teh future. Thank you very much for your help Olli, I have now fixed up the code and it is now outputting the correct value.
Regards, Bobby On Tuesday, October 24, 2017 at 11:13:35 PM UTC+11, [email protected] wrote: > > 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.
