When an nditer uses certain op_flags[0], like updateifcopy or readwrite
or copy, the operands (which are ndarray views into the original data)
must use the UPDATEIFCOPY flag. The meaning of this flag is to allocate
temporary memory to hold the modified data and make the original data
readonly.
On Sun, Jul 2, 2017 at 8:33 AM Sebastian Berg
wrote:
> If someone who does subclasses/array-likes or so (e.g. like Stefan
> Hoyer ;)) and is interested, and also we do some
> teleconferencing/chatting (and I have time) I might be interested
> in discussing and possibly trying to develop the n
There are a couple of interesting observations here. In your first bit, you
have:
> ## works with a row vector
> vect0 = np.random.rand(5)
> mat[:,0]=np.transpose(vect0)
(or I prefer vect0.T). Did you happen to notice that this works too:
> mat[:,0]=vect0
>
The transpose or the original work
Dear All
I'm a like matlab user (more specifically a Scilab one) for years, and
because I've to deal with huge ascii files (with dozens of millions of
lines), I decided to have a look to Python and Numpy, including
vectorization topics.
Obviously I've been influenced by my current feedbacks.
