On Monday 02 June 2008 08:03:15 Hanno Klemm wrote:
> thanks for your replies, the view works fine. The reason why I like
> recarrays is that you can address your fields simply with a.Name, when
> a is your array. I find that highly convenient when working with data
> interactively.
>
> As far as I
Francesc, Pierre,
thanks for your replies, the view works fine. The reason why I like
recarrays is that you can address your fields simply with a.Name, when
a is your array. I find that highly convenient when working with data
interactively.
As far as I know there is no similar possbility to do
A Friday 30 May 2008, Hanno Klemm escrigué:
> Hi,
>
> I try to save the contents of a numpy recarray with PyTables into a
> file. That works well, however, if I then try to retrieve the data, I
> get back an array with matching dtypes rather than a recarray.
>
> What is the best way to get a recarr
On Friday 30 May 2008 11:17:18 Hanno Klemm wrote:
Hanno,
Try a view:
> >>> f.close()
> >>> f = t.openFile('test.h5', 'r')
> >>> b = f.root.test[:].view(N.recarray)
Views are often the most efficient way to change the type of an array.
___
Numpy-discussio
Hi,
I try to save the contents of a numpy recarray with PyTables into a
file. That works well, however, if I then try to retrieve the data, I
get back an array with matching dtypes rather than a recarray.
What is the best way to get a recarray back, or if that's not possible
what's the most effi
