David Cournapeau wrote:
> On Thu, Oct 29, 2009 at 10:26 PM, Dag Sverre Seljebotn
> wrote:
>
>> I'm getting (to me( very mysterious NaNs when doing matrix
>> multiplication with certain (randomly generated) data:
>>
>> In [52]: a.shape, b.shape, i, j
>> Out[52]: ((22, 1000), (1000, 22), 0, 16)
>
On Thu, Oct 29, 2009 at 10:26 PM, Dag Sverre Seljebotn
wrote:
> I'm getting (to me( very mysterious NaNs when doing matrix
> multiplication with certain (randomly generated) data:
>
> In [52]: a.shape, b.shape, i, j
> Out[52]: ((22, 1000), (1000, 22), 0, 16)
>
> In [53]: np.dot(a, b)[i,j]
> Out[53
I'm getting (to me( very mysterious NaNs when doing matrix
multiplication with certain (randomly generated) data:
In [52]: a.shape, b.shape, i, j
Out[52]: ((22, 1000), (1000, 22), 0, 16)
In [53]: np.dot(a, b)[i,j]
Out[53]: (31.322778824758661+nan*j)
In [54]: np.dot(a[i,:], b[:,j])
Out[54]: (31.
