On Fri, Dec 2, 2011 at 18:53, Charles R Harris
charlesr.har...@gmail.com wrote:
After sleeping on this, I think an object array in this situation would be
the better choice and wouldn't result in lost information. This might change
the behavior of
some functions though, so would need testing.
I'm not sure I'm crazy about leaving final decision making for a
board. A board may be a good way of carefully considering the issues,
and it could make it's own recommendation (with a sufficient
majority). But in the end I think one person needs to decide (and that
decision may go against
Hi Geoffrey,
On Mon, Dec 5, 2011 at 12:37 AM, Geoffrey Irving irv...@naml.us wrote:
On Sun, Dec 4, 2011 at 6:45 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Dec 4, 2011 at 6:59 PM, Geoffrey Irving irv...@naml.us wrote:
On Sun, Dec 4, 2011 at 5:18 PM, Charles R Harris
On Mon, Dec 5, 2011 at 6:59 AM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi Geoffrey,
On Mon, Dec 5, 2011 at 12:37 AM, Geoffrey Irving irv...@naml.us wrote:
On Sun, Dec 4, 2011 at 6:45 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Dec 4, 2011 at 6:59 PM,
On Sun, Dec 4, 2011 at 9:45 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
We'll see how much interest there is. If it becomes official you may get
more feedback on features. There are some advantages to having some user
types in numpy. One is that otherwise they tend to get lost,
On Sun, Dec 4, 2011 at 11:37 PM, Geoffrey Irving irv...@naml.us wrote:
snip
Back to the bugs: here's a branch with all the changes I needed to get
rational arithmetic to work:
https://github.com/girving/numpy
I discovered two more after the last email. One is another simple 0
vs. 1
On 12/05/2011 06:22 AM, Perry Greenfield wrote:
I'm not sure I'm crazy about leaving final decision making for a
board. A board may be a good way of carefully considering the issues,
and it could make it's own recommendation (with a sufficient
majority). But in the end I think one person needs
On 5 December 2011 17:25, Mark Wiebe mwwi...@gmail.com wrote:
On Sun, Dec 4, 2011 at 11:37 PM, Geoffrey Irving irv...@naml.us wrote:
snip
Back to the bugs: here's a branch with all the changes I needed to get
rational arithmetic to work:
https://github.com/girving/numpy
I discovered
On Mon, Dec 5, 2011 at 8:58 AM, David Cournapeau courn...@gmail.com wrote:
On Sun, Dec 4, 2011 at 9:45 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
We'll see how much interest there is. If it becomes official you may get
more feedback on features. There are some advantages to
Hi,
I mistakenly filed ticket 1973 Can not display a masked array
containing np.NA values even if masked
(http://projects.scipy.org/numpy/ticket/1973) against masked array
because that was where I found it. But the actual error is that the
astype function does not handle the NA object:
$
On Mon, Dec 5, 2011 at 9:37 AM, mark florisson markflorisso...@gmail.comwrote:
On 5 December 2011 17:25, Mark Wiebe mwwi...@gmail.com wrote:
On Sun, Dec 4, 2011 at 11:37 PM, Geoffrey Irving irv...@naml.us wrote:
snip
Back to the bugs: here's a branch with all the changes I needed to
On 5 December 2011 17:48, Mark Wiebe mwwi...@gmail.com wrote:
On Mon, Dec 5, 2011 at 9:37 AM, mark florisson markflorisso...@gmail.com
wrote:
On 5 December 2011 17:25, Mark Wiebe mwwi...@gmail.com wrote:
On Sun, Dec 4, 2011 at 11:37 PM, Geoffrey Irving irv...@naml.us wrote:
snip
On 5 December 2011 17:57, mark florisson markflorisso...@gmail.com wrote:
On 5 December 2011 17:48, Mark Wiebe mwwi...@gmail.com wrote:
On Mon, Dec 5, 2011 at 9:37 AM, mark florisson markflorisso...@gmail.com
wrote:
On 5 December 2011 17:25, Mark Wiebe mwwi...@gmail.com wrote:
On Sun, Dec
On Sat, Dec 3, 2011 at 6:18 PM, Travis Oliphant teoliph...@gmail.comwrote:
Hi everyone,
There have been some wonderfully vigorous discussions over the past few
months that have made it clear that we need some clarity about how
decisions will be made in the NumPy community.
When we were a
Hi all,
It's been a little over 6 months since the release of 1.6.0 and the NA
debate has quieted down, so I'd like to ask your opinion on the timing of
1.7.0. It looks to me like we have a healthy amount of bug fixes and small
improvements, plus three larger chucks of work:
- datetime
- NA
-
I like the idea. Is there resolution to the NA question?
--
Travis Oliphant
(on a mobile)
512-826-7480
On Dec 5, 2011, at 2:43 PM, Ralf Gommers ralf.gomm...@googlemail.com wrote:
Hi all,
It's been a little over 6 months since the release of 1.6.0 and the NA debate
has quieted down, so
On Mon, Dec 5, 2011 at 12:43 PM, Benjamin Root ben.r...@ou.edu wrote:
On Mon, Dec 5, 2011 at 12:06 PM, Mark Wiebe mwwi...@gmail.com wrote:
On Sat, Dec 3, 2011 at 6:18 PM, Travis Oliphant teoliph...@gmail.comwrote:
Hi everyone,
There have been some wonderfully vigorous discussions over the
On Mon, Dec 5, 2011 at 9:13 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
On Mon, Dec 5, 2011 at 1:08 PM, Travis Oliphant oliph...@enthought.comwrote:
I like the idea. Is there resolution to the NA question?
No, people still disagree and are likely to do so for years to come with
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(Note I'm a programmer type, not a math type and am doing coding directed
by a matlab user.)
I'm trying to do an fft on multiple columns of data at once (ultimately
feeding into a correlation calculation). I can use fft() to work on one
column:
On Mon, Dec 5, 2011 at 9:13 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
On Mon, Dec 5, 2011 at 1:08 PM, Travis Oliphant
oliph...@enthought.comwrote:
I like the idea. Is there resolution to the NA question?
No, people still disagree and are likely to do so for years
Maybe I am asking the wrong question or could go about this another way.
I have thousands of numpy arrays to flick through, could I just identify
which arrays have NAN's and for now ignore the entire array. is there a
simple way to do this?
any feedback will be greatly appreciated.
On Thu, Dec 1,
Hi,
I don't know if it is the best choice, but this is what I do in my code:
for each slice:
indexnonNaN=np.isfinite(SliceOf Toto)
SliceOf TotoWithoutNan= SliceOf Toto [indexnonNaN]
and then perform all operation I want o on the last array.
i hope it does answer your question
Xavier
On Mon, Dec 5, 2011 at 12:10 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Well, that's a tough one. Numpy development tends to attract folks with
spare time, i.e., students*, and those with an itch to scratch. Itched
scratched, degree obtained, they go back to their primary interest or
Thanks for responding. I have tried several ways of adding the command, one
of which is:
for i in TSFC:
if N.any(N.isnan(TSFC)):
break
else:
pass
but nothing is happening, is there some particular way I need
Well, I would see solutions:
1- to keep how your code is, withj a python list (you can stack numpy
arrays if they have the same dimensions):
for filename in netCDF_list:
ncfile=netCDF4.Dataset(filename)
TSFC=ncfile.variables['T_SFC'][:]
thanks again for you response. I must still be doing something wrong!!
both options resulted in :
the TSFC_avg is: [-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
-- -- -- -- -- --
-- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- --
-- -- -- -- -- -- -- -- -- --
Hi Nathaniel,
Thanks for the suggestion. I more or less implemented it:
np.save('X',X);
X2=np.load('X.npy')
X2=np.asmatrix(X2)
diffy = (X != X2)
if diffy.any():
print X[diffy]
print X2[diffy]
print
Hi,
2011/12/5 Stéfan van der Walt ste...@sun.ac.za:
As for barriers to entry, improving the the nature of discourse on the
mailing list (when it comes to thorny issues) would be good.
Technical barriers are not that hard to breach for our community;
setting the right social atmosphere is
Hi everyone
I was wondering if there is a more optimal way to write what follows:
I am studying waves, so I have an array of wave crests positions, Xcrest
and the positions of the ZeroCrossings, Xzeros.
The goal is to find between which Xzeros my xcrest are.
XXX1=XCrest
Excerpts from Xavier Barthelemy's message of mar. déc. 06 06:53:09 +0100 2011:
Hi everyone
I was wondering if there is a more optimal way to write what follows:
I am studying waves, so I have an array of wave crests positions, Xcrest
and the positions of the ZeroCrossings, Xzeros.
The
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On 05/12/11 14:19, David Cournapeau wrote:
I am not I understand what you are trying to do ?
I had a slight misunderstanding with the math guy and had believed that
for our purposes we could feed in 16 columns and get one column of fft
output.
ok let me be more precise
I have an Z array which is the elevation
from this I extract a discrete array of Zero Crossing, and another discrete
array of Crests.
len(crest) is different than len(Xzeros). I have a threshold method to
detect my valid crests, and sometimes there are 2 crests between
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