copy(self, order='C')
The Numpy documentation lies; :None:None:`numpy.ndarray.copy` is not equivalent to numpy.copy
. Differences include that it re-views the copied array as self's ndarray subclass, as though it were taking a slice; this means __array_finalize__
is called and the copy shares all the array attributes (including ._converted
!). So we need to make a deep copy of all those attributes so that the two arrays truly do not share any data.
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