oliphant.travis at ieee.org
Sat Jun 3 03:25:42 EDT 2006
Tim Hochberg wrote:
> Some time ago some people, myself including, were making some noise
> about having 'array' iterate over iterable object producing ndarrays in
> a manner analogous to they way sequences are treated. I finally got
> around to looking at it seriously and once I came to the following three
> 1. All I really care about is the 1D case where dtype is specified.
> This case should be relatively easy to implement so that it's
> fast. Most other cases are not likely to be particularly faster
> than converting the iterators to lists at the Python level and
> then passing those lists to array.
> 2. 'array' already has plenty of special cases. I'm reluctant to add
> 3. Adding this to 'array' would be non-trivial. The more cases we
> tried to make fast, the more likely that some of the paths would
> be buggy. Regardless of how we did it though, some cases would be
> much slower than other, which would probably be suprising.
Good job. I just added a called fromiter for this very purpose. Right
now, it's just a stub that calls list(obj) first and then array. Your
code would be a perfect fit for it. I think count could be optional,
though, to handle cases where the count can be determined from the object.
We'll look forward to your check-in.
More information about the NumPy-Discussion