Hi, Along the line of what David said, I just looked at the flags :
a = np.arange(10) a.flags [...] OWNDATA : True a = a[:3] a.flags [...] OWNDATA : False Indeed, after a=a[:3], a is not the same Python object but still points to the data of the first object. What I didn't find (by quick googling) is how to access the original array. Is it possible to access it (with Python code) ? best, Pierre
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