just to not prevent it from the black hole - what about integrating fromiter into array? (see the post by Benjamin Root) for me personally, taking the first element for deducing the dtype would be a perfect default way to read generators. If one wants a specific other dtype, one could specify it like in the current fromiter method. On 15 December 2015 at 08:08, Stephan Sahm <Stephan.Sahm@gmx.de> wrote:

I would like to further push Benjamin Root's suggestion:

"Therefore, I think it is not out of the realm of reason that passing a generator object and a dtype could then delegate the work under the hood to np.fromiter()? I would even go so far as to raise an error if one passes a generator without specifying dtype to np.array(). The point is to reduce the number of entry points for creating numpy arrays."

would this be ok?

On Mon, Dec 14, 2015 at 6:50 PM Robert Kern <robert.kern@gmail.com> wrote:

On Mon, Dec 14, 2015 at 5:41 PM, Benjamin Root <ben.v.root@gmail.com> wrote:

Heh, never noticed that. Was it implemented more like a

generator/iterator in older versions of Python?

No, it predates generators and iterators so it has always had to be implemented like that.

-- Robert Kern _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion