python-quantities-developers team mailing list archive

["John Salvatier" <jsalvati@xxxxxxxxxxxxxxxx>]

Additionally:

In [10]: x
Out[10]: [ 1.  2.  3.  4.]*Btu

In [11]: math.e ** x             #this works correctly
ValueError: exponent is not dimensionless

In [12]: numpy.exp(x)         # but this does not
Out[12]: [  2.71828183   7.3890561   20.08553692  54.59815003]*Btu


On Tue, Jan 6, 2009 at 1:32 AM, John Salvatier <jsalvati@xxxxxxxxxxxxxxxx>wrote:

> I have noticed that while many members functions work as we would like them
> to work after I overload them, the static member functions in the numpy
> namespace are unaffected. For example:
>
> for the sum function
> In [13]: y
> Out[13]:
> [[ 1.  3.  4.  5.]
>  [ 1.  2.  3.  6.]]*inch
>
> In [14]: y.sum()
> Out[14]: 25.0*inch
>
> In [15]: numpy.sum(y)      # this actually throws an error
> ... error stuff...
>
> for the ravel function
> In [19]: y
> Out[19]:
> [[ 1.  3.  4.  5.]
>  [ 1.  2.  3.  6.]]*inch
>
> In [20]: y.ravel()
> Out[20]: [ 1.  3.  4.  5.  1.  2.  3.  6.]*inch
>
> In [21]: numpy.ravel(y)
> Out[21]: array([ 1.,  3.,  4.,  5.,  1.,  2.,  3.,  6.])
>
> I am not sure what --if anything-- we want to do about this, and I am not
> sure there is a whole lot we *can* do.
> Thoughts?
>