On Wed, Dec 23, 2015 at 4:31 AM, Sebastian Berg <sebast...@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.bar...@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 > > > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@scipy.org > > https://mail.scipy.org/mailman/listinfo/numpy-discussion > > > > > > > > > > > > -- > > > > Christopher Barker, Ph.D. > > Oceanographer > > > > Emergency Response Division > > NOAA/NOS/OR&R (206) 526-6959 voice > > 7600 Sand Point Way NE (206) 526-6329 fax > > Seattle, WA 98115 (206) 526-6317 main reception > > > > chris.bar...@noaa.gov > > > > _______________________________________________ > > NumPy-Discussion mailing list > > NumPy-Discussion@scipy.org > > https://mail.scipy.org/mailman/listinfo/numpy-discussion > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion > > -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
