You are seeing negative numbers because of an overflow beyond 32 bits. Change the type of your np array to int64 using a = (np.arange(2000) ** 3).astype(np.int64) and you won’t see negative numbers. I assume you are running this code on a 32 bit machine which is why Numpy is defaulting to int32. On a 64 bit machine it defaults to int64.
Hope this helps. > On Jan 28, 2019, at 11:22 PM, Yuping Wang <wyuping...@163.com> wrote: > > Dear Nmupy developers and users: > I am a new user of Numpy ,I have encountered a question about Numpy > recently, which need your help. The question is below: > > > <捕获.JPG> > > I don know why there are negative numbers > can somebody explain to me why these happens > Thanks in advance! > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion
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