Tom Denniston wrote:
> I recently upgraded to numpy 1.0 from 1.0b5. I noticed that
> numpy.argmax behavior is very strange on object arrays. See below:
>
> (Pdb) numpy.__version__
> '1.0'
> (Pdb) numpy.argmax(numpy.array([2, 3], dtype=object))
> 0
> (Pdb) numpy.argmax(numpy.array([2, 3], dtyp
Yes I definately agree about the latter!
On 10/29/06, Charles R Harris <[EMAIL PROTECTED]> wrote:
On 10/29/06, Tom Denniston <
[EMAIL PROTECTED]> wrote:
Oh. My mistake. I thought I had an array of 2 objects which were ints. I actually had an array of one list of 2 ints. It works properly if I
On 10/29/06, Tom Denniston <[EMAIL PROTECTED]> wrote:
Oh. My mistake. I thought I had an array of 2 objects which were ints. I actually had an array of one list of 2 ints. It works properly if I construct the array properly.I think there is actually a bug here:
In [61]: sort(array([3,2], dtype=o
Oh. My mistake. I thought I had an array of 2 objects which were ints. I actually had an array of one list of 2 ints. It works properly if I construct the array properly.
In [14]: a = numpy.empty((2), dtype=object)
In [15]: a[0:]=[2,3]
In [16]: aOut[16]: array([2, 3], dtype=object)
In [17]: a
On 10/29/06, Tom Denniston <[EMAIL PROTECTED]> wrote:
I recently upgraded to numpy 1.0 from 1.0b5. I noticed that numpy.argmax behavior is very strange on object arrays. See below:
(Pdb) numpy.__version__'1.0'
(Pdb) numpy.argmax(numpy.array([2, 3], dtype=object))0(Pdb) numpy.argmax(numpy.array
I recently upgraded to numpy 1.0 from 1.0b5. I noticed that numpy.argmax behavior is very strange on object arrays. See below:
(Pdb) numpy.__version__'1.0'
(Pdb) numpy.argmax(numpy.array([2, 3], dtype=object))0(Pdb) numpy.argmax(numpy.array([2, 3], dtype=int))1
(Pdb) numpy.argmax(numpy.array([
