On Thu, Sep 24, 2009 at 18:05, Sturla Molden wrote:
> Robert Kern skrev:
>> collections.deque() is a linked list of 64-item chunks.
>>
> Thanks for that useful information. :-) But it would not help much for a
> binary tree...
>
> Since we are on the NumPy list... One could image making linked lis
Robert Kern skrev:
> collections.deque() is a linked list of 64-item chunks.
>
Thanks for that useful information. :-) But it would not help much for a
binary tree...
Since we are on the NumPy list... One could image making linked lists
using NumPy arrays with dtype=object. They are storage
On Thu, Sep 24, 2009 at 17:32, Sturla Molden wrote:
> Robert Kern skrev:
>> While this description is basically true of numpy arrays, I would
>> caution you that every language has a different lexicon, and the same
>> word can mean very different things in each. For example, Python lists
>> are *n
Robert Kern skrev:
> While this description is basically true of numpy arrays, I would
> caution you that every language has a different lexicon, and the same
> word can mean very different things in each. For example, Python lists
> are *not* linked lists; they are like C++'s std::vectors with a
>
On Thu, Sep 24, 2009 at 09:58, Alice Invernizzi wrote:
>
> Dear all,
>
> I have an Hamletic doubt concerning the numpy array data type.
> A general learned rule concerning the array usage in other high-level
> programming languages is that array data-type are homogeneous datasets
> of fixed dimen
Alice Invernizzi wrote:
> Therefore, is not clear to me why in numpy the size of an array can be
> changed (either with the 'returning-value' resize() function either with
> the 'in-place' array method resize()).
> Would you please be so kind to give some explanation for the existence
> of resi
V. Armando Solé wrote:
Sorry, there was a bug in the sent code. It should be:
> import numpy
> a=numpy.arange(100.)
> a.shape = 10, 10
> b = a * 1 # just to get a copy
> b.shape = 5, 2, 5, 2
> b = (b.sum(axis=3)).sum(axis=1)
>
> In that way, on b I have a binned image of a.
Alice Invernizzi wrote:
>
> Dear all,
>
> I have an Hamletic doubt concerning the numpy array data type.
> A general learned rule concerning the array usage in other high-level
> programming languages is that array data-type are homogeneous datasets
> of fixed dimension.
>
> Therefore, is not cl
Dear all,
I have an Hamletic doubt concerning the numpy array data type.
A general learned rule concerning the array usage in other high-level
programming languages is that array data-type are homogeneous datasets
of fixed dimension.
Therefore, is not clear to me why in numpy the size of an a
