On Mon, Oct 13, 2014 at 8:39 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Mon, Oct 13, 2014 at 12:54 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Mo, 2014-10-13 at 13:35 +0200, Daniele Nicolodi wrote:
Hello,
I have a C++ application that collects float, int or
On Oct 14, 2014 4:40 AM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Mon, Oct 13, 2014 at 12:54 PM, Sebastian Berg
sebast...@sipsolutions.net wrote:
On Mo, 2014-10-13 at 13:35 +0200, Daniele Nicolodi wrote:
Hello,
I have a C++ application that collects float, int or complex
On 14/10/14 04:39, Charles R Harris wrote:
On Mon, Oct 13, 2014 at 12:54 PM, Sebastian Berg
sebast...@sipsolutions.net mailto:sebast...@sipsolutions.net wrote:
On Mo, 2014-10-13 at 13:35 +0200, Daniele Nicolodi wrote:
Hello,
I have a C++ application that collects float,
Hi all,
I wrote a script and plot monthly mean zonal wind (from a netcdf file names
uwnd.mon.mean.nc) and I'm not sure if I'm doing it correctly. What I have:
*#this part calculates mean values for january only, from
If the goal is to have something that works kind of like the new buffer
protocol but with a wider variety of python versions, then you might find
the old array interface useful:
http://docs.scipy.org/doc/numpy/reference/arrays.interface.html
I always get confused by the history here but I believe
On 14/10/14 13:39, Nathaniel Smith wrote:
If the goal is to have something that works kind of like the new buffer
protocol but with a wider variety of python versions, then you might
find the old array interface useful:
http://docs.scipy.org/doc/numpy/reference/arrays.interface.html
I
On Tue, Oct 14, 2014 at 6:19 PM, Daniele Nicolodi dani...@grinta.net wrote:
On Mo, 2014-10-13 at 13:35 +0200, Daniele Nicolodi wrote:
I have a C++ application that collects float, int or complex data in a
possibly quite large std::vector. The application has some SWIG
On 14/10/14 14:11, Daniele Nicolodi wrote:
On 14/10/14 13:39, Nathaniel Smith wrote:
If the goal is to have something that works kind of like the new buffer
protocol but with a wider variety of python versions, then you might
find the old array interface useful:
John Zwinck jzwi...@gmail.com writes:
Some time ago I needed to do something similar. I fused the NumPy C
API and Boost.Python with a small bit of code which I then
open-sourced as part of a slightly larger library. The most relevant
part for you is here:
On Sat, Oct 4, 2014 at 3:16 PM, Stéfan van der Walt ste...@sun.ac.za
wrote:
On Oct 4, 2014 10:14 PM, Derek Homeier
de...@astro.physik.uni-goettingen.de wrote:
+1 for an order=2 or maxorder=2 flag
If you parameterize that flag, users will want to change its value (above
two). Perhaps
On 4 Oct 2014 22:17, Stéfan van der Walt ste...@sun.ac.za wrote:
On Oct 4, 2014 10:14 PM, Derek Homeier
de...@astro.physik.uni-goettingen.de wrote:
+1 for an order=2 or maxorder=2 flag
If you parameterize that flag, users will want to change its value (above
two). Perhaps rather use a
On Tue, Oct 14, 2014 at 10:57 AM, Nathaniel Smith n...@pobox.com wrote:
On 4 Oct 2014 22:17, Stéfan van der Walt ste...@sun.ac.za wrote:
On Oct 4, 2014 10:14 PM, Derek Homeier
de...@astro.physik.uni-goettingen.de wrote:
+1 for an order=2 or maxorder=2 flag
If you parameterize
On 14 Oct 2014 18:29, Charles R Harris charlesr.har...@gmail.com wrote:
On Tue, Oct 14, 2014 at 10:57 AM, Nathaniel Smith n...@pobox.com wrote:
On 4 Oct 2014 22:17, Stéfan van der Walt ste...@sun.ac.za wrote:
On Oct 4, 2014 10:14 PM, Derek Homeier
de...@astro.physik.uni-goettingen.de
Hi Fadzil,
My strong recommendation is that you don't just use numpy/netCDF4 to
process your data, but rather use one of a multitude of packages that have
been developed specifically to facilitate working with labeled data from
netCDF files:
- Iris: http://scitools.org.uk/iris/
- CDAT:
Thank you Stephan,
I've been trying to install IRIS on my laptop (OS X) for months. Errors
everywhere.
I'll look at that IRIS again, and other links.
Cheers,
Fadzil
On Tue, Oct 14, 2014 at 7:09 PM, Stephan Hoyer sho...@gmail.com wrote:
Hi Fadzil,
My strong recommendation is that you don't
I'm using np.nonzero to construct the tuple:
(array([0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2]), array([1, 3, 5, 7, 2, 3, 6, 7, 4,
5, 6, 7]))
Now what I want is the 2-D index array:
[1,3,5,7,
2,3,6,7,
4,5,6,7]
Any ideas?
--
-- Those who don't understand recursion are doomed to repeat it
For this to work at all you have to know a priori that there are the same
number of non-zero entries in each row of your mask. Given that you know
that, isn't it just a matter of calling reshape on the second array?
On 14 Oct 2014 20:37, Neal Becker ndbeck...@gmail.com wrote:
I'm using
On Tue, Oct 14, 2014 at 11:50 AM, Nathaniel Smith n...@pobox.com wrote:
On 14 Oct 2014 18:29, Charles R Harris charlesr.har...@gmail.com
wrote:
On Tue, Oct 14, 2014 at 10:57 AM, Nathaniel Smith n...@pobox.com wrote:
On 4 Oct 2014 22:17, Stéfan van der Walt ste...@sun.ac.za wrote:
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