[Numpy-discussion] numpy.dot behavior with column vector and length 1 vector

[Travis Oliphant]

Brendan Simons wrote:

> Is this behavior expected?  If so, why am I wrong in assuming these  
> statements should all return the same result?
>
> PyCrust 0.9.5 - The Flakiest Python Shell
> Python 2.4.1 (#2, Mar 31 2005, 00:05:10)
> [GCC 3.3 20030304 (Apple Computer, Inc. build 1666)] on darwin
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import numpy
> >>> colVect = numpy.ones((3, 1))
> >>> colVect * 5.3
> array([[ 5.3],
>        [ 5.3],
>        [ 5.3]])
> >>> numpy.dot(colVect, 5.3)
> array([[ 5.3],
>        [ 5.3],
>        [ 5.3]])
> >>> colVect * [5.3]
> array([[ 5.3],
>        [ 5.3],
>        [ 5.3]])
> >>> numpy.dot(colVect, [5.3])
> array([ 5.3,  0. ,  0. ])


This is a dotblas bug.  You can always tell by testing out the original 
dot function:

from numpy.core.multiarray import dot as dot_

dot_(colVect, [5.3])

does not give this result.


-Travis