On 17-Sep-09, at 6:18 PM, Erin Sheldon wrote:
>
> You can just view it differently:
>
> In [4]: x=numpy.zeros(3,dtype=[('field1','S5'),('field2','f4'),
> ('field3','f4'),('field4','f4')])
>
> In [5]: x
> Out[5]:
> array([('', 0.0, 0.0, 0.0), ('', 0.0, 0.0, 0.0), ('', 0.0, 0.0, 0.0)],
> dtype
On Thu, Sep 17, 2009 at 6:12 PM, David Warde-Farley wrote:
> If I have a 1-dimensional array with a structured dtype, say str,
> float, float, float, float where all the float columns have their
> own names, and I just want to extract all the floats in the order they
> appear into a 2D matrix
If I have a 1-dimensional array with a structured dtype, say str,
float, float, float, float where all the float columns have their
own names, and I just want to extract all the floats in the order they
appear into a 2D matrix that disregards the dtype metadata... Is there
an easy way t
