Hi,
There seems to be a problem with histogramdd (numpy 1.0.1). Depending on the
number of bins in each axis, it may not produce an array with the dimensions
oriented correctly. The bug is in the axis swapping code at the end of the
routine.
To reproduce, you can run,
>>> x = random.randn(100,3)
I've found that if I have a record array of shape [] (i.e. a scalar
recarray), I can't set its fields.
>>> recarr
recarray((0.0, 0.0, 0.0),
dtype=[('x', '>> recarr.x[...] = 1.0
TypeError: object does not support item assignment
In the above, recarr.x returned a float "0.0", then attempted
On Thu, Mar 15, 2007 at 12:26:10PM +0100, David Koch wrote:
> Next thing, I have
>
> A_Idx = array([1, 0])
>
> and B is a matrix. How would I select the four elements in B indicated by
> "meshgrid(A_Idx)", that ist: B[1,1], B[1,0], B[0,1], B[0,0]
> In Matlab you would simply use B(A_idx, A_idx) w
Thanks Zach, yes, the SVN version works,
Cheers,
Cory.
On 3/14/07, Zachary Pincus <[EMAIL PROTECTED]> wrote:
> If I recall correctly, there's a bug in numpy 1.0.1 on Linux-x86-64
> that causes this segfault. This is fixed in the latest SVN version of
> numpy, so if you can grab that, it should wor
