On Wed, Dec 23, 2015 at 4:31 AM, Sebastian Berg <sebastian@sipsolutions.net> wrote:

Probably is a bit orthogonal since I guess you want/need cython, but
pythons builtin array.array should get you there pretty much as well.

I don't think it's orthogonal to cython -- you can access an array.array directly from within cython -- it's actually about the easiest way to get a array-like object in Cython/C (which you can then access via a memoryview, etc).

Though I don't know there is a python object (i.e. pointer) option there. (nor text).

-CHB






 
Of
course it requires the C typecode (though that should not be hard to
get) and does not support strings.

- Sebastian

>
> In my experience, it's several times faster than using a builtin list
> from Cython, which makes sense given that it needs to copy about 1/3
> the data (no type or reference count for individual elements).
> Obviously, it uses 1/3 the space to store the data, too. We currently
> don't expose this object externally, but it could be an interesting
> project to adapt this code into a standalone project that could be
> more broadly useful.
>
>
> Cheers,
> Stephan
>
>
>
>
> On Tue, Dec 22, 2015 at 8:20 PM, Chris Barker <chris.barker@noaa.gov>
> wrote:
>
>
>         sorry for being so lazy as to not go look at the project
>         pages, but....
>
>
>         This sounds like it could be really useful, and maybe
>         supercise a coupl eof half-baked projects of mine. But -- what
>         does "dynamic" mean?
>
>
>         - can you append to these arrays?
>         - can it support "ragged arrrays" -- it looks like it does.
>
>
>                 >>> L = ArrayList( [[0], [1,2], [3,4,5], [6,7,8,9]] )
>                 >>> print(L)
>                 [[0], [1 2], [3 4 5], [6 7 8 9]]
>         so this looks like a ragged array -- but what do you get when
>         you do:
>
>
>         for row in L:
>             print row
>
>
>
>
>                 >>> print(L.data)
>                 [0 1 2 3 4 5 6 7 8
>         is .data a regular old 1-d numpy array?
>
>
>                 >>> L = ArrayList( np.arange(10), [3,3,4])
>                 >>> print(L)
>                 [[0 1 2], [3 4 5], [6 7 8 9]]
>                 >>> print(L.data)
>                 [0 1 2 3 4 5 6 7 8 9]
>
>         does an ArrayList act like a numpy array in other ways:
>
>
>         L * 5
>
>
>         L* some_array
>
>
>         in which case, how does it do broadcasting???
>
>
>         Thanks,
>
>
>         -CHB
>
>
>                 >>> L = ArrayList(["Hello", "world", "!"])
>                 >>> print(L[0])
>                 'Hello'
>                 >>> L[1] = "brave new world"
>                 >>> print(L)
>                 ['Hello', 'brave new world', '!']
>
>
>
>
>                 Nicolas
>
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>
>
>
>
>         --
>
>         Christopher Barker, Ph.D.
>         Oceanographer
>
>         Emergency Response Division
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Christopher Barker, Ph.D.
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