On Fri, Nov 4, 2016 at 7:12 AM, Francesc Alted <fal...@gmail.com> wrote:
> Does this generalize to >1 dimensions? >> > > A reshape() is not enough? What do you want to do exactly? > np.fromiter takes scalar input and only builds a 1D array. So it actually can't combine multiple values at once unless they are flattened out in Python. It could be nice to add support for non-scalar inputs, stacking them similarly to np.array. Likewise, it could be nice to add an axis argument, so it can work similarly to np.stack. More generally, you might want to iterate and rebuild over arbitrary dimension(s) of an array. Something like np.stack([x for x in np.unstack(y, axis)], axis) But, we also don't have an unstack function. This would mostly be syntactic sugar, but I think it would be a nice addition. Such a function actually exists in TensorFlow: https://g3doc.corp.google.com/third_party/tensorflow/g3doc/api_docs/python/array_ops.md?cl=head#unstack
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