Hi Pierre,
that's great! I didn't do exactly what I wanted, but seeing how to overwrite
the __getitem__ and __getslice__ methods I can adapt my class that it works
with the use cases I need.
Thanks for your help! Bernhard
On 5/11/07, Pierre GM <[EMAIL PROTECTED]> wrote:
Bernhard,
Looks like y
Bernhard,
Looks like you have to modify your __getitem__ and __getslice__ methods. The
following seems to work in simple cases.
The numpy.array in front of numpy.ndarray.__getxxx__ is to transform
the 'numpy.void
def __getitem__(self, key):
if isinstance(key, arraydict) and key.dtyp
Sorry for the spam, but I didn't modify the subject of the previous mail.
Here's the message again but now with the right subject:
Dear Pierre,
I've attached the arraydict implementation file. You can run it and take a
look at the following example on your own:
In [25]: run arraydict.py
create
On Wednesday 09 May 2007 08:54:37 Bernhard Voigt wrote:
> I'm trying to subclass ndarray or recarray to build a record array that has
> a dictionary with a mapping of keys to array indexes and vice versa.
Bernhard,
Could you send me the rest of your code ? I'd like to test a couple of things
bef
I'm trying to subclass ndarray or recarray to build a record array that has
a dictionary with a mapping of keys to array indexes and vice versa. I come
across the problem, that depending on the field access method I get
different types back:
# a is a sublcass of record array
print type(a)
pr
