On Fri, Nov 27, 2009 at 12:16 AM, Wayne Watson
sierra_mtnv...@sbcglobal.net wrote:
I have a list that already has the frequencies from 0 to 255. However,
I'd like to make a histogram that has say 32 bins whose ranges are 0-7,
8-15, ... 248-255. Is it possible?
If they have equal sized (width)
On Wed, Nov 25, 2009 at 4:13 PM, mdekauwe mdeka...@gmail.com wrote:
I tried redoing the internal logic for example by using the where function
but I can't seem to work out how to match up the logic. For example (note
slightly different from above). If I change the main loop to
lst =
On Sun, Nov 22, 2009 at 1:40 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sun, Nov 22, 2009 at 6:28 AM, josef.p...@gmail.com wrote:
On Sun, Nov 22, 2009 at 2:35 AM, David Cournapeau courn...@gmail.com
wrote:
On Wed, Nov 18, 2009 at 6:10 PM, David Cournapeau courn...@gmail.com
I have several scikits with c extension compiled against an older
trunk version of 1.4 but didn't recompile them with the numpy trunk
version that I currently use.
scikits.timeseries just crashed on me taking several hours worth of
examples with it.
(scipy crashed during testing, so I rebuilt it
On Sun, Nov 22, 2009 at 2:35 AM, David Cournapeau courn...@gmail.com wrote:
On Wed, Nov 18, 2009 at 6:10 PM, David Cournapeau courn...@gmail.com wrote:
On Wed, Nov 18, 2009 at 12:38 AM, josef.p...@gmail.com wrote:
Now numpy builds without problems.
When I run the tests I get 16 failures
On Sun, Nov 22, 2009 at 10:01 AM, David Cournapeau courn...@gmail.com wrote:
On Sun, Nov 22, 2009 at 11:45 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Might be nice to print out the actual values of np.spacing and np.nextafter
here.
Yes, I should add some utilities to print those
On Sun, Nov 22, 2009 at 10:25 AM, David Cournapeau courn...@gmail.com wrote:
On Mon, Nov 23, 2009 at 12:14 AM, josef.p...@gmail.com wrote:
On Sun, Nov 22, 2009 at 10:01 AM, David Cournapeau courn...@gmail.com
wrote:
On Sun, Nov 22, 2009 at 11:45 PM, Charles R Harris
On Sun, Nov 22, 2009 at 10:37 AM, josef.p...@gmail.com wrote:
On Sun, Nov 22, 2009 at 10:25 AM, David Cournapeau courn...@gmail.com wrote:
On Mon, Nov 23, 2009 at 12:14 AM, josef.p...@gmail.com wrote:
On Sun, Nov 22, 2009 at 10:01 AM, David Cournapeau courn...@gmail.com
wrote:
On Sun, Nov
On Sun, Nov 22, 2009 at 10:47 AM, josef.p...@gmail.com wrote:
On Sun, Nov 22, 2009 at 10:37 AM, josef.p...@gmail.com wrote:
On Sun, Nov 22, 2009 at 10:25 AM, David Cournapeau courn...@gmail.com
wrote:
On Mon, Nov 23, 2009 at 12:14 AM, josef.p...@gmail.com wrote:
On Sun, Nov 22, 2009 at
On Fri, Nov 20, 2009 at 4:27 PM, josef.p...@gmail.com wrote:
On Fri, Nov 20, 2009 at 2:28 PM, Keith Goodman kwgood...@gmail.com wrote:
On Fri, Nov 20, 2009 at 11:17 AM, josef.p...@gmail.com wrote:
On Fri, Nov 20, 2009 at 1:51 PM, Keith Goodman kwgood...@gmail.com wrote:
def corr3(x, y):
On Fri, Nov 20, 2009 at 10:51 AM, Keith Goodman kwgood...@gmail.com wrote:
I have a short 1d array x and a large 2d array y. I'd like to locate
the places in the y array that are most like (correlated to) the x
array.
My first attempt, corr1, is too slow. My second attempt, corr2, is
faster
On Fri, Nov 20, 2009 at 1:51 PM, Keith Goodman kwgood...@gmail.com wrote:
On Fri, Nov 20, 2009 at 8:53 AM, josef.p...@gmail.com wrote:
scipy.signal.correlate would be fast, but it will not be easy to
subtract the correct moving mean. Subtracting a standard moving mean
would subtract
On Fri, Nov 20, 2009 at 2:28 PM, Keith Goodman kwgood...@gmail.com wrote:
On Fri, Nov 20, 2009 at 11:17 AM, josef.p...@gmail.com wrote:
On Fri, Nov 20, 2009 at 1:51 PM, Keith Goodman kwgood...@gmail.com wrote:
def corr3(x, y):
x = x - x.mean()
x /= x.std()
nx = x.size
one =
On Mon, Nov 16, 2009 at 10:52 PM, David Cournapeau courn...@gmail.com wrote:
On Tue, Nov 17, 2009 at 3:33 AM, josef.p...@gmail.com wrote:
Now, the numpy build runs for a while then breaks while building umath.
Any ideas?
The behavior of distutils with config files is mysterious, I gave up
On Tue, Nov 17, 2009 at 11:24 AM, Jean-Baptiste Rudant
boogalo...@yahoo.fr wrote:
Hello,
I think there's something strange with shape when a slice is given by an
array.
import numpy as N
my_array = N.ones((2, 3, 6))
ind = N.arange(4)
#you hope to find (3, 4)
print my_array[0, :, ind].shape
On Mon, Nov 16, 2009 at 12:48 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
josef.p...@gmail.com wrote:
Are there new changes to the configuration needed? mingw 3.4.5,
WindowsXP, Python 2.5.2
Python.h is not picked up anymore:
_configtest.c:1:20: Python.h: No such file or
Are there new changes to the configuration needed? mingw 3.4.5,
WindowsXP, Python 2.5.2
Python.h is not picked up anymore:
_configtest.c:1:20: Python.h: No such file or directory
Josef
C:\Josef\_progs\Subversion\numpy-trunksetup.py bdist
Running from numpy source directory.
F2PY Version
On Sat, Nov 14, 2009 at 6:53 AM, Priit Laes pl...@plaes.org wrote:
Ühel kenal päeval, R, 2009-11-13 kell 13:36, kirjutas Ernest Adrogué:
13/11/09 @ 09:41 (+0200), thus spake Priit Laes:
Does anyone have a scenario where one would actually have both negative
and positive numbers (integers) in
On Sat, Nov 14, 2009 at 7:10 AM, josef.p...@gmail.com wrote:
On Sat, Nov 14, 2009 at 6:53 AM, Priit Laes pl...@plaes.org wrote:
Ühel kenal päeval, R, 2009-11-13 kell 13:36, kirjutas Ernest Adrogué:
13/11/09 @ 09:41 (+0200), thus spake Priit Laes:
Does anyone have a scenario where one would
On Thu, Nov 12, 2009 at 6:00 PM, Priit Laes pl...@plaes.org wrote:
Hey,
I cooked up an initial implementation for one-dimensional
histogram_discrete().
Example:
import numpy
numpy.histogram_discrete([-1, 9, 9, 0, 3, 5, 3])
array([1, 1, 0, 0, 2, 0, 1, 0, 0, 0, 2])
On Thu, Nov 12, 2009 at 6:16 PM, David Warde-Farley d...@cs.toronto.edu wrote:
On 12-Nov-09, at 6:09 PM, josef.p...@gmail.com wrote:
On Thu, Nov 12, 2009 at 6:00 PM, Priit Laes pl...@plaes.org wrote:
Hey,
I cooked up an initial implementation for one-dimensional
histogram_discrete().
On Thu, Nov 12, 2009 at 6:31 PM, Robert Kern robert.k...@gmail.com wrote:
On Thu, Nov 12, 2009 at 17:25, josef.p...@gmail.com wrote:
If I could make a related wish, I wish np.bincount to take also a 2d
array as weights.
It does.
If it does, I don't manage to make it work, and the new docs
On Thu, Nov 12, 2009 at 6:44 PM, Robert Kern robert.k...@gmail.com wrote:
On Thu, Nov 12, 2009 at 17:38, Alexey Tigarev alexey.tiga...@gmail.com
wrote:
Hi All!
I have implemented multiple regression in a following way:
def multipleRegression(x, y):
Perform linear regression using
On Tue, Nov 10, 2009 at 7:48 PM, Anne Archibald
peridot.face...@gmail.com wrote:
2009/11/10 Christopher Barker chris.bar...@noaa.gov:
Hi all,
I have a bunch of points in 2-d space, and I need to find out which
pairs of points are within a certain distance of one-another (regular
old
On Mon, Nov 9, 2009 at 7:54 PM, David Goldsmith d.l.goldsm...@gmail.com wrote:
May I infer from the sudden silence that I finally have it?
I think so,
I assume that the result of broadcasting is unique, I haven't seen an
example yet where broadcasting would depend on the sequence in which
it is
On Mon, Nov 9, 2009 at 7:59 PM, josef.p...@gmail.com wrote:
On Mon, Nov 9, 2009 at 7:54 PM, David Goldsmith d.l.goldsm...@gmail.com
wrote:
May I infer from the sudden silence that I finally have it?
I think so,
I assume that the result of broadcasting is unique, I haven't seen an
example
On Sun, Nov 8, 2009 at 5:00 AM, David Goldsmith d.l.goldsm...@gmail.com wrote:
On Sun, Nov 8, 2009 at 12:57 AM, Anne Archibald peridot.face...@gmail.com
wrote:
2009/11/8 David Goldsmith d.l.goldsm...@gmail.com:
On Sat, Nov 7, 2009 at 11:59 PM, Anne Archibald
peridot.face...@gmail.com
On Sun, Nov 8, 2009 at 10:03 PM, David Goldsmith
d.l.goldsm...@gmail.com wrote:
OK, now I'm trying to wrap my brain around broadcasting in choose when both
`a` *and* `choices` need to be (non-trivially) broadcast in order to arrive
at a common shape, e.g.:
c=np.arange(4).reshape((2,1,2)) #
On Sun, Nov 8, 2009 at 10:40 PM, Anne Archibald
peridot.face...@gmail.com wrote:
As Josef said, this is not correct. I think the key point of confusion is
this:
Do not pass choose two arrays.
Pass it one array and a *list* of arrays. The fact that choices can be
an array is a quirk we
On Sun, Nov 8, 2009 at 10:57 PM, David Goldsmith
d.l.goldsm...@gmail.com wrote:
On Sun, Nov 8, 2009 at 7:23 PM, josef.p...@gmail.com wrote:
On Sun, Nov 8, 2009 at 10:03 PM, David Goldsmith
d.l.goldsm...@gmail.com wrote:
OK, now I'm trying to wrap my brain around broadcasting in choose when
On Sat, Nov 7, 2009 at 1:51 PM, Stas K stanc...@gmail.com wrote:
Can I get rid of the loop in this example? And what is the fastest way
to get v in the example?
ar = array([1,2,3])
for a in ar:
for b in ar:
v = a**2+b**2
ar[:,None]**2 + ar**2
array([[ 2, 5, 10],
[ 5, 8,
On Sat, Nov 7, 2009 at 7:53 PM, David Goldsmith d.l.goldsm...@gmail.com wrote:
Thanks, Anne.
On Sat, Nov 7, 2009 at 1:32 PM, Anne Archibald peridot.face...@gmail.com
wrote:
2009/11/7 David Goldsmith d.l.goldsm...@gmail.com:
snip
Also, my experimenting suggests that the index array
On Thu, Nov 5, 2009 at 6:36 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Nov 5, 2009 at 4:26 PM, David Warde-Farley d...@cs.toronto.edu
wrote:
On 5-Nov-09, at 4:54 PM, David Goldsmith wrote:
Interesting thread, which leaves me wondering two things: is it
documented
On Thu, Nov 5, 2009 at 9:23 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Nov 5, 2009 at 7:04 PM, josef.p...@gmail.com wrote:
On Thu, Nov 5, 2009 at 6:36 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Nov 5, 2009 at 4:26 PM, David Warde-Farley
On Thu, Nov 5, 2009 at 10:42 PM, David Goldsmith
d.l.goldsm...@gmail.com wrote:
On Thu, Nov 5, 2009 at 3:26 PM, David Warde-Farley d...@cs.toronto.edu
wrote:
On 5-Nov-09, at 4:54 PM, David Goldsmith wrote:
Interesting thread, which leaves me wondering two things: is it
documented
On Thu, Nov 5, 2009 at 10:28 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Nov 5, 2009 at 7:53 PM, josef.p...@gmail.com wrote:
On Thu, Nov 5, 2009 at 9:23 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Nov 5, 2009 at 7:04 PM, josef.p...@gmail.com wrote:
On Wed, Nov 4, 2009 at 3:57 PM, David Warde-Farley d...@cs.toronto.edu wrote:
Thanks Alan and Robert, I probably should have mentioned that I was
interested in obtaining the corresponding integer for each value in
the array d, in which case the dictionary bit works but would require
a further
On Sun, Nov 1, 2009 at 9:58 PM, David Goldsmith d.l.goldsm...@gmail.com wrote:
I Googled scipy brownian and the top hit was the doc for numpy.random.wald,
but said doc has a tone that suggests there are more sophisticated ways
to generate a random Brownian signal? Or is wald indeed SotA?
On Sun, Nov 1, 2009 at 10:26 PM, josef.p...@gmail.com wrote:
On Sun, Nov 1, 2009 at 9:58 PM, David Goldsmith d.l.goldsm...@gmail.com
wrote:
I Googled scipy brownian and the top hit was the doc for numpy.random.wald,
but said doc has a tone that suggests there are more sophisticated ways
to
On Sun, Nov 1, 2009 at 10:20 PM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Thomas Robitaille wrote:
Hi,
I'm trying to generate random 64-bit integer values for integers and
floats using Numpy, within the entire range of valid values for that
type. To generate random 32-bit floats,
On Sun, Nov 1, 2009 at 10:55 PM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
josef.p...@gmail.com wrote:
array([ Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf, Inf])
might actually be the right answer if you want a uniform distribution
on the real line.
Does it make sense
On Wed, Oct 28, 2009 at 9:52 AM, Gökhan Sever gokhanse...@gmail.com wrote:
On Tue, Oct 27, 2009 at 12:23 PM, Pierre GM pgmdevl...@gmail.com wrote:
On Oct 27, 2009, at 7:56 AM, Gökhan Sever wrote:
Unfortunately, matplotlib.mlab's prctile cannot handle this division:
Actually, the
On Sun, Oct 18, 2009 at 3:11 PM, Jeffrey McGee jeffamc...@gmail.com wrote:
Howdy,
I'm having trouble getting the kaiser window to work. Anytime I try
to call numpy.kaiser(), it throws an exception. Here's the output when
I run the example code from
On Wed, Oct 21, 2009 at 3:02 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I don't feel that numpy/scipy did as well in GSOC 2009 as it could have. I
think this was mostly due to lack of preparation on our part, we weren't
ready when the students started showing up on the
On Wed, Oct 21, 2009 at 3:23 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Wed, Oct 21, 2009 at 1:11 PM, josef.p...@gmail.com wrote:
On Wed, Oct 21, 2009 at 3:02 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Hi All,
I don't feel that numpy/scipy did as well in GSOC
On Sun, Oct 18, 2009 at 6:06 AM, Gary Ruben gru...@bigpond.net.au wrote:
Hi Gaël,
If you've got a 1D array/vector called a, I think the normal idiom is
np.dot(a,a)
For the more general case, I think
np.tensordot(a, a, axes=something_else)
should do it, where you should be able to figure
On Tue, Oct 20, 2009 at 3:09 PM, Anne Archibald
peridot.face...@gmail.com wrote:
2009/10/20 josef.p...@gmail.com:
On Sun, Oct 18, 2009 at 6:06 AM, Gary Ruben gru...@bigpond.net.au wrote:
Hi Gaël,
If you've got a 1D array/vector called a, I think the normal idiom is
np.dot(a,a)
For the
On Sun, Oct 18, 2009 at 12:06 PM, Skipper Seabold jsseab...@gmail.com wrote:
On Sun, Oct 18, 2009 at 8:09 AM, Gael Varoquaux
gael.varoqu...@normalesup.org wrote:
On Sun, Oct 18, 2009 at 09:06:15PM +1100, Gary Ruben wrote:
Hi Gaël,
If you've got a 1D array/vector called a, I think the normal
On Sat, Oct 17, 2009 at 2:02 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, Oct 17, 2009 at 11:54 AM, josef.p...@gmail.com wrote:
On Sat, Oct 17, 2009 at 1:20 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, Oct 17, 2009 at 9:36 AM, per freem
On Sat, Oct 17, 2009 at 7:46 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, Oct 17, 2009 at 5:27 PM, josef.p...@gmail.com wrote:
On Sat, Oct 17, 2009 at 2:02 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, Oct 17, 2009 at 11:54 AM, josef.p...@gmail.com
On Sat, Oct 17, 2009 at 8:00 PM, josef.p...@gmail.com wrote:
On Sat, Oct 17, 2009 at 7:46 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Sat, Oct 17, 2009 at 5:27 PM, josef.p...@gmail.com wrote:
On Sat, Oct 17, 2009 at 2:02 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
On Thu, Oct 15, 2009 at 8:53 AM, Robin robi...@gmail.com wrote:
Hi,
I have another question about distributing a Python extension which
uses f2py wrapped code. Ideally I'd like to keep pure Python/Numpy
alternatives and just use fortran version if available - but I think
that should be OK.
On Fri, Oct 16, 2009 at 12:14 AM, David Warde-Farley d...@cs.toronto.edu
wrote:
Does anyone know what happened to the Google Groups archive of this
list? when I try to access it, I see:
Cannot find numpy-discussion
The group named numpy-discussion has been removed because it violated
On Mon, Oct 12, 2009 at 10:18 AM, per freem perfr...@gmail.com wrote:
hi all,
i'm trying to find nonzero elements in an array, as follows:
a = array([[1, 0],
[1, 1],
[1, 1],
[0, 1]])
i want to find all elements that are [1,1]. i tried: nonzero(a ==
[1,0]) but i cannot
On Wed, Oct 7, 2009 at 1:20 PM, Christopher Barker
chris.bar...@noaa.gov wrote:
josef.p...@gmail.com wrote:
I wanted to avoid the python loop and thought creating the view will be
faster
with large arrays. But for this I need to know the memory length of a
row of arbitrary types for the
On Mon, Oct 5, 2009 at 5:22 PM, Elaine Angelino
elaine.angel...@gmail.com wrote:
Hi there,
We are writing to announce the release of Tabular, a package of Python
modules for working with tabular data.
Tabular is a package of Python modules for working with tabular data. Its
main object is
On Mon, Oct 5, 2009 at 9:00 AM, Paul Rudin p...@rudin.co.uk wrote:
denis bzowy denis-bz...@t-online.de writes:
Folks,
http://groups.google.com/group/numpy-discussion
-
The group named numpy-discussion has been removed because it violated
Google's
Terms Of Service
however scipy-user
Is there a way in numpy (or scipy) to get an infinite expansion for
the inverse of a polynomial (for a finite number of terms)
np.poly1d([ -0.8, 1])**(-1)
application for example the MA representation of an AR(1)
and fractional powers
np.poly1d([ -1, 1])**0.5
this is useful for fractionally
On Tue, Sep 29, 2009 at 10:22 AM, Neal Becker ndbeck...@gmail.com wrote:
This doesn't work either:
def as_double (self):
import math
def _as_double_1 (x):
return math.ldexp (x, -self.frac_bits)
vecfunc = np.vectorize (_as_double_1, otypes=[np.float])
On Tue, Sep 29, 2009 at 6:48 PM, Christopher Barker
chris.bar...@noaa.gov wrote:
I'm assuming it's a bug that was fixed somewhere in between?
It works on my 2.5, on a PPC:
In [10]: struct.pack('d', -0.0)
Out[10]: '\x80\x00\x00\x00\x00\x00\x00\x00'
In [11]: struct.pack('d', -0.0)
Out[11]:
On Fri, Sep 25, 2009 at 2:53 PM, Keith Goodman kwgood...@gmail.com wrote:
On Fri, Sep 25, 2009 at 11:05 AM, Mads Ipsen m...@comxnet.dk wrote:
Sure, and you could do the same thing using two nested for loops. But
its bound to be slow when the arrays become large (and they will). The
question is
On Wed, Sep 23, 2009 at 11:12 AM, Neal Becker ndbeck...@gmail.com wrote:
Robert Cimrman wrote:
Neal Becker wrote:
I have an array:
In [12]: a
Out[12]:
array([[0, 1, 2, 3, 4],
[5, 6, 7, 8, 9]])
And a selection array:
In [13]: b
Out[13]: array([1, 1, 1, 1, 1])
I want a
On Mon, Sep 21, 2009 at 1:08 PM, Robert Kern robert.k...@gmail.com wrote:
On Mon, Sep 21, 2009 at 12:03, Elaine Angelino
elaine.angel...@gmail.com wrote:
Hi there --
I have been working on a small Python package whose central data object
comes from Numpy (the record array object).
I would
I have two structured arrays of different types. How can I
horizontally concatenate the two arrays? Is there a direct way, or do
I need to start from scratch?
nobs = 10
testdata = np.random.randint(3,
size=(nobs,4)).view([('a',int),('b',int),('c',int),('d',int)])
testdatacont = np.random.normal(
On Wed, Sep 16, 2009 at 4:25 AM, josef.p...@gmail.com wrote:
I have two structured arrays of different types. How can I
horizontally concatenate the two arrays? Is there a direct way, or do
I need to start from scratch?
nobs = 10
testdata = np.random.randint(3,
On Wed, Sep 16, 2009 at 4:42 AM, Pierre GM pgmdevl...@gmail.com wrote:
On Sep 16, 2009, at 4:25 AM, josef.p...@gmail.com wrote:
I have two structured arrays of different types. How can I
horizontally concatenate the two arrays? Is there a direct way, or do
I need to start from scratch?
On Tue, Sep 15, 2009 at 10:44 AM, Skipper Seabold jsseab...@gmail.com wrote:
On Tue, Sep 15, 2009 at 9:43 AM, Bruce Southey bsout...@gmail.com wrote:
On 09/14/2009 09:31 PM, Skipper Seabold wrote:
On Mon, Sep 14, 2009 at 9:59 PM, Pierre GMpgmdevl...@gmail.com wrote:
[snip]
OK, I see the
On Sun, Sep 13, 2009 at 9:05 AM, Alan G Isaac ais...@american.edu wrote:
On 9/13/2009 7:46 AM, Robert wrote:
2 ways seem to be consistently Pythonic and logical: size
0; or any(a) (*); and the later option may be more 'numerical'.
Well, *there's* the problem.
As a user I have felt more than
On Fri, Sep 11, 2009 at 5:25 AM, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
V. Armando Solé wrote:
David Cournapeau wrote:
V. Armando Solé wrote:
Hello,
It seems to point towards a packaging problem.
In python 2.5, I can do:
import numpy.core._dotblas as dotblas
On Mon, Sep 7, 2009 at 10:09 AM, Hans-Andreas Engeleng...@deshaw.com wrote:
From: T J tjhnson at gmail.com
Is there a better way to achieve the following, perhaps without the
python for loop?
x.shape
(1,3)
y.shape
(1,3)
z = empty(len(x))
for i in range(1):
... z[i] =
On Mon, Sep 7, 2009 at 6:36 PM, Skipper Seaboldjsseab...@gmail.com wrote:
Hello all,
I ran into a problem with some of my older code (since figured out the
user error). However, in trying to give a simple example that
replicates the problem I was having, I ran into this.
In [19]: a =
On Mon, Sep 7, 2009 at 8:01 PM, Skipper Seaboldjsseab...@gmail.com wrote:
On Mon, Sep 7, 2009 at 7:35 PM, josef.p...@gmail.com wrote:
On Mon, Sep 7, 2009 at 6:36 PM, Skipper Seaboldjsseab...@gmail.com wrote:
Hello all,
I ran into a problem with some of my older code (since figured out the
On Thu, Sep 3, 2009 at 9:23 AM, Tim
Michelsentimmichel...@gmx-topmail.de wrote:
Hello,
I have checked the snippets you proposed.
It does what I wanted to achieve.
Obviously, I had to substract the values as Robert
demonstrated. This could also be perceived from
the figure I posted.
I
On Thu, Sep 3, 2009 at 12:58 PM, Tim
Michelsentimmichel...@gmx-topmail.de wrote:
My first stop is usually wikipedia:
[...]
Thanks.
So I I'known that I have to call the beast a
empirical inverse survival function, Robert would
also have foundit easier to help.
Anyway, step by step...
In
On Wed, Sep 2, 2009 at 7:26 PM, Robert Kernrobert.k...@gmail.com wrote:
On Wed, Sep 2, 2009 at 18:15, Tim Michelsentimmichel...@gmx-topmail.de
wrote:
Hello fellow numy users,
I posted some questions on histograms recently [1, 2] but still couldn't
find a solution.
I am trying to create a
On Fri, Aug 28, 2009 at 9:55 AM, Pauli Virtanenp...@iki.fi wrote:
Fri, 28 Aug 2009 09:46:39 -0400, Neal Becker kirjoitti:
Robert Kern wrote:
On Thu, Aug 27, 2009 at 14:22, Christopher
Barkerchris.bar...@noaa.gov wrote:
By the way -- is there something about py3k that changes all this? Or
On Fri, Aug 28, 2009 at 10:46 AM, Neal Beckerndbeck...@gmail.com wrote:
Charles R Harris wrote:
On Fri, Aug 28, 2009 at 8:08 AM, josef.p...@gmail.com wrote:
On Fri, Aug 28, 2009 at 9:55 AM, Pauli Virtanenp...@iki.fi wrote:
Fri, 28 Aug 2009 09:46:39 -0400, Neal Becker kirjoitti:
Robert
On Fri, Aug 28, 2009 at 12:46 PM, Charles R
Harrischarlesr.har...@gmail.com wrote:
On Fri, Aug 28, 2009 at 8:08 AM, josef.p...@gmail.com wrote:
On Fri, Aug 28, 2009 at 9:55 AM, Pauli Virtanenp...@iki.fi wrote:
Fri, 28 Aug 2009 09:46:39 -0400, Neal Becker kirjoitti:
Robert Kern wrote:
On Thu, Aug 27, 2009 at 8:23 AM, alexander
bakerbaker.alexan...@gmail.com wrote:
Here is an example, this does something a extra at the end but shows how the
bins can be used.
Regards
Alex Baker.
from scipy.stats import norm
r = norm.rvs(size=1)
import numpy as np
p, bins =
On Thu, Aug 27, 2009 at 9:23 AM, Vincent Schutsc...@sarvision.nl wrote:
Tim Michelsen wrote:
Hello,
I need some advice on histograms.
If I interpret the documentation [1, 2] for numpy.histogram correctly, the
result of the function is a count of the occurences sorted into each bin.
(n,
On Thu, Aug 27, 2009 at 12:49 PM, Tim
Michelsentimmichel...@gmx-topmail.de wrote:
Tim, do you mean, that you want to apply other functions, e.g. mean or
variance, to the original values but calculated per bin?
Sorry that I forgot to add this. Shame.
I would like to apply these mathematical
On Thu, Aug 27, 2009 at 3:57 PM, Charles R
Harrischarlesr.har...@gmail.com wrote:
On Thu, Aug 27, 2009 at 1:46 PM, Robert Kern robert.k...@gmail.com wrote:
On Thu, Aug 27, 2009 at 12:43, Charles R
Harrischarlesr.har...@gmail.com wrote:
On Thu, Aug 27, 2009 at 1:27 PM, Robert Kern
On Thu, Aug 27, 2009 at 1:27 PM, josef.p...@gmail.com wrote:
On Thu, Aug 27, 2009 at 12:49 PM, Tim
Michelsentimmichel...@gmx-topmail.de wrote:
Tim, do you mean, that you want to apply other functions, e.g. mean or
variance, to the original values but calculated per bin?
Sorry that I forgot to
On Wed, Aug 26, 2009 at 10:08 AM, Skipper Seaboldjsseab...@gmail.com wrote:
On Wed, Aug 26, 2009 at 1:45 AM, josef.p...@gmail.com wrote:
On Tue, Aug 25, 2009 at 11:38 PM, Charles R
Harrischarlesr.har...@gmail.com wrote:
So is it a bug in the test or a bug in the implementation? The problem is
On Wed, Aug 26, 2009 at 11:25 AM, josef.p...@gmail.com wrote:
On Wed, Aug 26, 2009 at 10:08 AM, Skipper Seaboldjsseab...@gmail.com wrote:
On Wed, Aug 26, 2009 at 1:45 AM, josef.p...@gmail.com wrote:
On Tue, Aug 25, 2009 at 11:38 PM, Charles R
Harrischarlesr.har...@gmail.com wrote:
So is it a
On Tue, Aug 25, 2009 at 11:38 PM, Charles R
Harrischarlesr.har...@gmail.com wrote:
So is it a bug in the test or a bug in the implementation? The problem is
that the slice values[1:] when
values = [-12,39000,3,21000,37000,46000] contains no negative
number and a nan is returned. This
2009/8/20 Stéfan van der Walt ste...@sun.ac.za:
2009/8/20 Dr. Phillip M. Feldman pfeld...@verizon.net:
I've been reading the online NumPy tutorial at the following URL:
http://numpy.scipy.org/numpydoc/numpy-10.html
When I try the following example, I get an error message:
In [1]:
On Tue, Aug 18, 2009 at 2:01 AM, Maria Liukisliu...@usc.edu wrote:
Josef,
Many thanks for the example! It should become an official NumPy recipe :)
Thanks again,
Masha
liu...@usc.edu
Actually, there is also an implementation of unique rows in
scipy.stats._support. It
On Mon, Aug 17, 2009 at 1:42 PM, Jonathan
Taylorjonathan.tay...@utoronto.ca wrote:
Hi,
I am getting a strange crash in numpy.linalg.lstsq. I have put the code
that causes the crash along with two data files on my website at:
http://www.cs.toronto.edu/~jtaylor/crash/
I would be interested
On Tue, Aug 18, 2009 at 12:30 AM, Maria Liukisliu...@usc.edu wrote:
Hello everybody,
While re-implementing some Matlab code in Python, I've run into a problem of
finding a NumPy function analogous to the Matlab's unique(array, 'rows')
to get unique rows of an array. Searching the web, I've
On Tue, Aug 18, 2009 at 12:59 AM, Maria Liukisliu...@usc.edu wrote:
On Aug 17, 2009, at 9:51 PM, Charles R Harris wrote:
On Mon, Aug 17, 2009 at 10:30 PM, Maria Liukis liu...@usc.edu wrote:
Hello everybody,
While re-implementing some Matlab code in Python, I've run into a problem
of
On Tue, Aug 18, 2009 at 1:03 AM, josef.p...@gmail.com wrote:
On Tue, Aug 18, 2009 at 12:59 AM, Maria Liukisliu...@usc.edu wrote:
On Aug 17, 2009, at 9:51 PM, Charles R Harris wrote:
On Mon, Aug 17, 2009 at 10:30 PM, Maria Liukis liu...@usc.edu wrote:
Hello everybody,
While re-implementing
On Wed, Aug 12, 2009 at 11:28 AM, Ryan Mayrma...@gmail.com wrote:
On Wed, Aug 12, 2009 at 10:22 AM, Ralph Heinkel ra...@dont-mind.de wrote:
Hi,
I'm creating (actually calculating) a set of very large 1-d arrays
(vectors), which I would like to assemble into a record array so I can
access
(copied from the lengthy unicode thread in scipy-dev, so it doesn't get lost)
this looks like a bug ? or is it a known limitation that chararrays
cannot be 0-d
b0= np.array(u'\xe9','U1').view(np.chararray)
print b0.encode('cp1252')
Traceback (most recent call last):
File pyshell#47, line 1,
On Mon, Aug 10, 2009 at 11:55 AM, Keith Goodmankwgood...@gmail.com wrote:
On Thu, Aug 6, 2009 at 9:07 AM, Robert Kernrobert.k...@gmail.com wrote:
On Thu, Aug 6, 2009 at 11:03, Keith Goodmankwgood...@gmail.com wrote:
On Thu, Aug 6, 2009 at 8:55 AM, josef.p...@gmail.com wrote:
What's the best
On Mon, Aug 10, 2009 at 8:52 PM, Brennan
Williamsbrennan.willi...@visualreservoir.com wrote:
Hi
No doubt asked many times before so apologies
I'm pulling a subset array out of a data array where I have a list of
the indices I want (could be an array rather than a list actually - I
have
On Sun, Aug 9, 2009 at 5:12 AM, Fernando Perezfperez@gmail.com wrote:
Hi all,
[ sorry for spamming the list, but even though I sent this to all the
email addresses I have on file for tutorial attendees, I know I am
missing a few, so I hope they see this message. ]
In order to make your
On Fri, Aug 7, 2009 at 5:25 PM, Andrew Hawrylukhawr...@novachem.com wrote:
Hmm ... good point.
It appears to give a probability distribution proportional to x**(a-1),
but I see no good reason why the domain should be limited to [0,1].
def test(a):
nums =
On Fri, Aug 7, 2009 at 5:42 PM, josef.p...@gmail.com wrote:
On Fri, Aug 7, 2009 at 5:25 PM, Andrew Hawrylukhawr...@novachem.com wrote:
Hmm ... good point.
It appears to give a probability distribution proportional to x**(a-1),
but I see no good reason why the domain should be limited to [0,1].
On Fri, Aug 7, 2009 at 6:13 PM, josef.p...@gmail.com wrote:
On Fri, Aug 7, 2009 at 5:42 PM, josef.p...@gmail.com wrote:
On Fri, Aug 7, 2009 at 5:25 PM, Andrew Hawrylukhawr...@novachem.com wrote:
Hmm ... good point.
It appears to give a probability distribution proportional to x**(a-1),
but I
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