Hello,
I have an array of data for a global grid at 1 degree resolution. It's
filled with 1s and 0s, and it is just a land sea mask (not only, but
as an example). I want to be able to regrid the data to higher or
lower resolutions (i.e. 0.5 or 2 degrees). But if I try to use any
standard interp
I have an array of data for a global grid at 1 degree resolution. It's
filled with 1s and 0s, and it is just a land sea mask (not only, but
as an example). I want to be able to regrid the data to higher or
lower resolutions (i.e. 0.5 or 2 degrees). But if I try to use any
standard interp
On Nov 30, 2010, at 5:40 PM, John wrote:
Hello,
I have an array of data for a global grid at 1 degree resolution. It's
filled with 1s and 0s, and it is just a land sea mask (not only, but
as an example). I want to be able to regrid the data to higher or
lower resolutions (i.e. 0.5 or 2
On Mon, Nov 29, 2010 at 9:08 PM, David da...@silveregg.co.jp wrote:
the *.so.N.M are enough for binaries, but you need the *.so to link
against a library. Those are generally provided in the -devel RPMS on RH
distributions,
Ah, right. Thank you for filling in that missing piece of information
On 30 November 2010 17:58, Pierre GM pgmdevl...@gmail.com wrote:
On Nov 30, 2010, at 5:40 PM, John wrote:
I have an array of data for a global grid at 1 degree resolution. It's
filled with 1s and 0s, and it is just a land sea mask (not only, but
as an example). I want to be able to regrid the
After upgrading from numpy 1.4.1 to 1.5.1 I get warnings like
Warning: invalid value encountered in subtract when I run unit tests
(or timeit) using python -c 'blah' but not from an interactive
session. How can I tell the warnings to go away?
___
On Tue, Sep 1, 2009 at 2:37 PM, Sturla Molden stu...@molden.no wrote:
Dag Sverre Seljebotn skrev:
Nitpick: This will fail on large arrays. I guess numpy.npy_intp is the
right type to use in this case?
By the way, here is a more polished version, does it look ok?
I am very interested in this result. I have wanted to know how to do an
apply_along_axis function for a while now.
On Tue, Nov 30, 2010 at 11:21 AM, Keith Goodman kwgood...@gmail.com wrote:
On Tue, Sep 1, 2009 at 2:37 PM, Sturla Molden stu...@molden.no wrote:
Dag Sverre Seljebotn skrev:
On Tue, Nov 30, 2010 at 11:25 AM, John Salvatier
jsalv...@u.washington.edu wrote:
I am very interested in this result. I have wanted to know how to do an
My first thought was to write the reducing function like this
cdef np.float64_t namean(np.ndarray[np.float64_t, ndim=1] a):
but cython
On Tue, Nov 30, 2010 at 9:38 AM, David Brodbeck bro...@uw.edu wrote:
On Mon, Nov 29, 2010 at 9:08 PM, David da...@silveregg.co.jp wrote:
the *.so.N.M are enough for binaries, but you need the *.so to link
against a library. Those are generally provided in the -devel RPMS on RH
distributions,
Hi,
On Tue, Nov 30, 2010 at 11:35 AM, Keith Goodman kwgood...@gmail.com wrote:
On Tue, Nov 30, 2010 at 11:25 AM, John Salvatier
jsalv...@u.washington.edu wrote:
I am very interested in this result. I have wanted to know how to do an
My first thought was to write the reducing function like
On Tue, Nov 30, 2010 at 11:58 AM, Matthew Brett matthew.br...@gmail.com wrote:
Hi,
On Tue, Nov 30, 2010 at 11:35 AM, Keith Goodman kwgood...@gmail.com wrote:
On Tue, Nov 30, 2010 at 11:25 AM, John Salvatier
jsalv...@u.washington.edu wrote:
I am very interested in this result. I have wanted
On Tue, Nov 30, 2010 at 11:40 AM, David Brodbeck bro...@uw.edu wrote:
On Tue, Nov 30, 2010 at 9:38 AM, David Brodbeck bro...@uw.edu wrote:
Turns out there is no atlas-devel package, so I changed tactics and
installed blas, blas-devel, lapack, and lapack-devel, instead. This
was enough to get
On Tue, Nov 30, 2010 at 1:34 PM, Keith Goodman kwgood...@gmail.com wrote:
After upgrading from numpy 1.4.1 to 1.5.1 I get warnings like
Warning: invalid value encountered in subtract when I run unit tests
(or timeit) using python -c 'blah' but not from an interactive
session. How can I tell
On Tue, Nov 30, 2010 at 2:25 PM, Robert Kern robert.k...@gmail.com wrote:
On Tue, Nov 30, 2010 at 16:22, Keith Goodman kwgood...@gmail.com wrote:
On Tue, Nov 30, 2010 at 1:41 PM, Skipper Seabold jsseab...@gmail.com wrote:
On Tue, Nov 30, 2010 at 1:34 PM, Keith Goodman kwgood...@gmail.com wrote:
On Nov 30, 2010, at 11:22 PM, Keith Goodman wrote:
On Tue, Nov 30, 2010 at 1:41 PM, Skipper Seabold jsseab...@gmail.com wrote:
On Tue, Nov 30, 2010 at 1:34 PM, Keith Goodman kwgood...@gmail.com wrote:
After upgrading from numpy 1.4.1 to 1.5.1 I get warnings like
Warning: invalid value
I think last time I looked into how to apply a function along an axis I
thought that the PyArray_IterAllButAxis would not work for that task (
http://docs.scipy.org/doc/numpy/reference/c-api.array.html#PyArray_IterAllButAxis),
but I think perhaps I misunderstood it. I'm looking into how to use it.
import numpy as np
cimport numpy as cnp
cdef cnp.float64_t namean(cnp.ndarray[cnp.float64_t, ndim=1] a):
return np.nanmean(a) # just a placeholder
is not allowed? It works for me. Is it a cython version thing?
(I've got 0.13),
Oh, that's nice! I'm using 0.11.2. OK, time to
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