# [Numpy-discussion] dot documentation

Charles R Harris charlesr.harris@gmail....
Fri Aug 7 17:50:32 CDT 2009

```On Fri, Aug 7, 2009 at 3:24 PM, T J <tjhnson@gmail.com> wrote:

> Oh.  b.shape = (2,).  So I suppose the second to last dimension is, in
> fact, the last dimension...and 2 == 2.
>
> nvm
>
> On Fri, Aug 7, 2009 at 2:19 PM, T J<tjhnson@gmail.com> wrote:
> > Hi,  the documentation for dot says that a value error is raised if:
> >
> >    If the last dimension of a is not the same size as the
> > second-to-last dimension of b.
> >
> > (http://docs.scipy.org/doc/numpy/reference/generated/numpy.dot.htm)
> >
> > This doesn't appear to be the case:
> >
> >>>> a = array([[1,2],[3,4]])
> >>>> b = array([1,2])
> >>>> dot(a,b)
> > array([5,11])
> >
> > I can see *how* 5,11 is obtained, but it seems this should have raised
> > a ValueError since the 2 != 1.  So the actual code must do something
> > more involved.  When I think about broadcasting, it seems that maybe b
> > should have been broadcasted to:
> >
> > -->  array([[1,2],[1,2]])
> >
> > and then the multiplication done as normal (but this would give a 2x2
> result).
> >
> > Can someone explain this to me?
> >
>

It looks like a bug in the documentation. Vectors, i.e., 1D arrays, are
multiplied as if they were column/row vectors depending on what side of the
product they occur.

Chuck
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