- Original Message -
From: Robert Bradshaw rober...@math.washington.edu
Sent: Wednesday, December 29, 2010 4:47 PM
[...]
Regarding Justin's suggestion, before trying Cython (which, according to
http://wiki.cython.org/tutorials/numpy , seems to require a bit of work
to
handle numpy
This thread is a bit old, but since it's not possible to use the C-API is
possible to accomplish this same thing with the Python API?
On Tue, Dec 21, 2010 at 5:12 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Mon, Dec 20, 2010 at 1:42 PM, John Salvatier jsalv...@u.washington.edu
wrote:
A while
def repeat(arr, num):
arr = numpy.asarray(arr)
return numpy.ndarray(arr.shape+(num,), dtype=arr.dtype,
buffer=arr, strides=arr.strides+(0,))
There are limits to what these sort of stride tricks can accomplish,
but repeating as above, or similar, is feasible.
On Jan 1, 2011, at 8:42
On Sat, Jan 1, 2011 at 19:42, Enzo Michelangeli enzom...@gmail.com wrote:
Is there any way, not involving compilation of C code, to define ndarrays
where some rows or columns share the same data buffers? For example,
something built by a hypothetical variant of the np.repeat() function, such
Thanks. Meanwhile, I had arrived to a solution similar to the one suggested
by Zachary:
a = array([2,3])
ndarray((3,a.shape[0]), strides=(0,a.itemsize), buffer = a, offset=0,
dtype=a.dtype)
array([[2, 3],
[2, 3],
[2, 3]])
...but I'd say that numpy.broadcast_arrays is the
