Yoshioka [crai...@me.com]
Sent: 27 July 2011 05:41
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] lazy loading ndarrays
ok, that was an alternative strategy I was going to try... but not my favorite
as I'd have to explicitly perform all operations on the data portion of the
o
ok, that was an alternative strategy I was going to try... but not my favorite
as I'd have to explicitly perform all operations on the data portion of the
object, and given numpy's mechanics, assignment would also have to be explicit,
and creating new image objects implicitly would be trickier:
Similar to what Matthew said, I often find that it's cleaner to make a
seperate class with a "data" (or somesuch) property that lazily loads the
numpy array.
For example, something like:
class DataFormat(object):
def __init__(self, filename):
self.filename = filename
for key,
Hi,
On Tue, Jul 26, 2011 at 5:11 PM, Craig Yoshioka wrote:
> I want to subclass ndarray to create a class for image and volume data, and
> when referencing a file I'd like to have it load the data only when accessed.
> That way the class can be used to quickly set and manipulate header values,
I want to subclass ndarray to create a class for image and volume data, and
when referencing a file I'd like to have it load the data only when accessed.
That way the class can be used to quickly set and manipulate header values, and
won't load data unless necessary. What is the best way to do
