9 Feb
2018
9 Feb
'18
2:47 a.m.
What considerations formed the basis for choosing the next type promotion behavior in numpy: In[2] : a = np.array([10], dtype=np.int64) b = np.array([10], dtype=np.uint64) (a+b).dtype Out[2]: dtype('float64') Why the `object` dtype was not chosen for the resulting dtype? Are there any disadvantages in this case when choosing `object` instead of `float64`? With kind regards, -gdg
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Kirill Balunov