Am 01.05.14 18:45, schrieb Yuxiang Wang:
Hi all,
I am trying to calculate the 2nd-order gradient numerically of an
array in numpy.
import numpy as np
a = np.sin(np.arange(0, 10, .01))
da = np.gradient(a)
dda = np.gradient(da)
It looks like you are looking for the
Am 10.11.13 23:27, schrieb Charles R Harris:
On Sun, Nov 10, 2013 at 5:12 PM, Christian K. ckk...@hoc.net
mailto:ckk...@hoc.net wrote:
Am 10.11.13 21:06, schrieb Christian K.:
Am 03.11.13 13:42, schrieb Julian Taylor:
Hi all,
I'm happy to announce the release
Am 03.11.13 13:42, schrieb Julian Taylor:
Hi all,
I'm happy to announce the release candidate of Numpy 1.7.2.
This is a bugfix only release supporting Python 2.4 - 2.7 and 3.1 - 3.3.
More than 37 issues were fixed, the most important issues are listed in
the release notes:
Am 10.11.13 21:06, schrieb Christian K.:
Am 03.11.13 13:42, schrieb Julian Taylor:
Hi all,
I'm happy to announce the release candidate of Numpy 1.7.2.
This is a bugfix only release supporting Python 2.4 - 2.7 and 3.1 - 3.3.
More than 37 issues were fixed, the most important issues
Am 08.09.13 16:14, schrieb Charles R Harris:
Hi all,
I'm happy to announce the second beta release of Numpy 1.8.0. This
release should solve the Windows problems encountered in the first beta.
Many thanks to Christolph Gohlke and Julian Taylor for their hard work
in getting those issues
Hi Hugo,
Am 14.08.13 10:34, schrieb Hugo Gagnon:
What is the best way, if any, to do something whenever array elements
are changed in-place? For example, if I have a = arange(10), then
setting a[3] = 1 would, say, call a function automatically.
a one made a simple subclass of ndarray which
Hi Andrew,
Am 12.04.13 11:50, schrieb Andrew Nelson:
I have written a differential evolution optimiser that i use for
curvefitting. As a genetic optimisation technique it is stochastic and
relies heavily on random number generators to do the minimisation. As
part
out of
Robert Kern robert.kern at gmail.com writes:
On Thu, Jun 16, 2011 at 06:28, Christian K. ckkart at hoc.net wrote:
Hi,
I need to do fit a 3d surface to a point cloud. This sounds like a job for
3d
orthogonal distance regression. Does anybody know of an implementation?
As eat points
Hi,
I need to do fit a 3d surface to a point cloud. This sounds like a job for 3d
orthogonal distance regression. Does anybody know of an implementation?
Regards, Christian K.
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Hi,
I wonder if someone has a good solution for a fast conversion of gridded
ascii data to ndarray. It should manage ',' as decimal point (on demand)
and special windows numbers as 1.#INF. Of course, this is easy to wrap
in a small function but I expect it to be slow when the input size is in
Am 16.01.11 09:24, schrieb Alex Ter-Sarkissov:
hi every1,
I got the following issue: I wrote a function that converts binary
strings into a decimal value (binary expansion). When I write
type(x)
to find out the type of the value I get NoneType. Therefore I can't
Your function most
Am 25.07.10 06:38, schrieb Ian Mallett:
Hi,
So I have a square 2D array, and I want to fill the array with sine
values. The values need to be generated by their coordinates within the
array.
The center of the array should be treated as the angle 90 degrees. Each
of the four edges should
Hi,
this is probaby an unusual question here from someone used to numpy who is
forced to work with matlab and it is not exactly the right place to ask. Sorry
for that.
Is there something like broadcasting in matlab? E.g. how can I do something
like that:
a = ones((50,50), dtype=float)
time
John Schulman joschu at caltech.edu writes:
I'm trying to reduce the memory used in a calculation, so I'd like to
switch my program to float32 instead of float64. Is it possible to
change the numpy default float size, so I don't have to explicitly
state dtype=np.float32 everywhere?
Robert Kern schrieb:
On Fri, Jun 26, 2009 at 03:39, Christian K.ckk...@hoc.net wrote:
John Schulman joschu at caltech.edu writes:
I'm trying to reduce the memory used in a calculation, so I'd like to
switch my program to float32 instead of float64. Is it possible to
change the numpy default
Hi,
I am looking for an elegant and fast way to fill the voids of a 2d array with
neighbouring values. The array's size can be up to (1000, 1000) and its values
are slowly varying around a mean value. What I call voids are values which are
far from the mean value (+- 80%). A void usually
Hallo Nina,
ich huete gerade meinen kranken Sohn, wollte aber nicht versaeumen,
Platten zu reservieren:
Januar bis einschliesslich Juni 2009 haette ich gerne 2 Platten pro Monat
gruesse, Christian
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darn! How could I be that stupid... Please ignore the last message.
Christian
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Hi,
I just came across somethin I never noticed before. I cannot say whether
this is due to an update of numpy but it is possible - I am running
1.1.1 on __german__ windows. Here is the observation:
a = N.linspace(0,1,5)
a
array([ 0. , 0.25, 0.5 , 0.75, 1. ])
a.astype(float)
array([ 0.
Charles R Harris schrieb:
On Sun, Aug 31, 2008 at 1:14 PM, Christian K. [EMAIL PROTECTED]
mailto:[EMAIL PROTECTED] wrote:
Hi,
I just came across somethin I never noticed before. I cannot say whether
this is due to an update of numpy but it is possible - I am running
Matthieu Brucher matthieu.brucher at gmail.com writes:
But if I have the coordinates of the points in an array, I have to reshape it
and then convert it into a list. Or convert it into a list and then convert it
to a tuple. I know that advanced indexing is useful, but here it is not
coherent.
Matthieu Brucher matthieu.brucher at gmail.com writes:
Little correction, only c[(2,3)] gives me what I expect, not c[[2,3]], which
is even stranger.
c[(2,3)] is the same as c[2,3] and obviously works as you expected.
c[[2,3]] is refered to as 'advanced indexing' in the numpy book.
It will
John Washakie wrote:
From: John Washakie [EMAIL PROTECTED]
To: [EMAIL PROTECTED]
Date: Tue, 1 May 2007 17:38:52 +0200
Subject: linux cluster installation
What is the best way to install numpy and ultimately scipy on a
cluster of linux machines so that you just install it once? I imagine
you
Bruno Santos wrote:
I try to use the expression as you said, but I'm not getting the desired
result,
My text file look like this:
# num rows=115 num columns=2634
AbassiM.txt 0.033023 0.033023 0.033023 0.165115 0.4623210.00
AgricoleW.txt 0.038691 0.038691 0.038691 0.232147
Robert Kern wrote:
Christian K wrote:
Hi,
I'm trying to build numpy from svn on ubuntu edgy with atlas provided by
ubuntu
package atlas3-sse2-dev which contains:
/usr
/usr/lib
/usr/lib/sse2
/usr/lib/sse2/libatlas.a
/usr/lib/sse2/libcblas.a
/usr/lib/sse2/libf77blas.a
/usr/lib/sse2
Hi,
could someone please provide example code for how to make a subclassed ndarray
pickable? I don't quite understand the docs of ndarray.__reduce__.
My subclassed ndarray has just one additional attribute.
Thanks, Christian
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Hi,
I'm trying to build numpy from svn on ubuntu edgy with atlas provided by ubuntu
package atlas3-sse2-dev which contains:
/usr
/usr/lib
/usr/lib/sse2
/usr/lib/sse2/libatlas.a
/usr/lib/sse2/libcblas.a
/usr/lib/sse2/libf77blas.a
/usr/lib/sse2/liblapack_atlas.a
/usr/lib/atlas
/usr/lib/atlas/sse2
Christian K wrote:
Hi,
I'm trying to build numpy from svn on ubuntu edgy with atlas provided by
ubuntu
package atlas3-sse2-dev which contains:
[...]
I tried both with and without a site.cfg:
[DEFAULT]
library_dirs = /usr/lib/sse2
include_dirs = /usr/include
[blas_opt
Hi Bill,
I just tried ezplot and encountered some problems:
In [1]: import ezplot
In [2]: p = ezplot.Plotter()
In [3]: p.plot([1,2,3],[1,4,9],marker='o')
At this point a window pops up for a second, closes again and plot does not
return.
I'm running python 2.4.4 on kubuntu linux with wxPython
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