On Fri, Mar 9, 2012 at 7:26 AM, Nicola Creati ncre...@inogs.it wrote:
Hello,
I'm writing a library able to read LAS lidar files. I generally use it
under Linux without any problems. I'm now testing my library on a Windows 7
64 bit computer and I meet some problems reading the file. I
On Tue, Mar 6, 2012 at 4:45 PM, Chris Barker chris.bar...@noaa.gov wrote:
On Thu, Mar 1, 2012 at 10:58 PM, Jay Bourque jayv...@gmail.com wrote:
1. Loading text files using loadtxt/genfromtxt need a significant
performance boost (I think at least an order of magnitude increase in
On Thu, Mar 1, 2012 at 8:43 AM, Zayd YAKOUBI zayd.yako...@gmail.com wrote:
Hello,
I use the similarity measure Jaccard and Hamming of pckage
Scipy.spacial.cdist (Python) in a clustering context, I applied to given
typs of real and integer (0.6 0.2 1.7 May 8 ). They gave good results. But I
On Thu, Feb 23, 2012 at 2:19 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Thu, Feb 23, 2012 at 2:08 PM, Travis Oliphant tra...@continuum.iowrote:
This is actually on my short-list as well --- it just didn't make it to
the list.
In fact, we have someone starting work
On Sun, Feb 26, 2012 at 1:00 PM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Feb 26, 2012 at 5:23 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
I haven't pushed it to the extreme, but the big example (in the
examples/
directory) is a 1 gig text file with 2 million rows
On Sun, Feb 26, 2012 at 1:49 PM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Feb 26, 2012 at 7:16 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Sun, Feb 26, 2012 at 1:00 PM, Nathaniel Smith n...@pobox.com wrote:
For this kind of benchmarking, you'd really rather
On Sun, Feb 26, 2012 at 3:00 PM, Nathaniel Smith n...@pobox.com wrote:
On Sun, Feb 26, 2012 at 7:58 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
Right, I got that. Sorry if the placement of the notes about how to
clear
the cache seemed to imply otherwise.
OK, cool, np
On Thu, Feb 23, 2012 at 2:08 PM, Travis Oliphant tra...@continuum.iowrote:
This is actually on my short-list as well --- it just didn't make it to
the list.
In fact, we have someone starting work on it this week. It is his first
project so it will take him a little time to get up to speed
On Thu, Feb 16, 2012 at 10:12 AM, Pierre Haessig
pierre.haes...@crans.orgwrote:
Le 16/02/2012 16:20, josef.p...@gmail.com a écrit :
I don't see any way to fix multivariate_normal for this case, except
for dropping svd or for random perturbing a covariance matrix with
multiplicity of
On Wed, Feb 15, 2012 at 2:25 AM, Steve Schmerler
elcort...@googlemail.comwrote:
Hi
I'd like to repeat an array along a new axis (like broadcast):
In [8]: a
Out[8]:
array([[0, 1, 2],
[3, 4, 5]])
In [9]: b=repeat(a[None,...], 3, axis=0)
In [10]: b
Out[10]:
On Tue, Feb 14, 2012 at 12:25 PM, Travis Oliphant tra...@continuum.iowrote:
snip
There is a mailing list for numfocus that you can sign up for if you would
like to be part of those discussions. Let me know if you would like more
information about that.
I would like more information
On Mon, Feb 6, 2012 at 2:57 PM, Sturla Molden stu...@molden.no wrote:
Short answer: Create 16 view arrays, each with a stride of 4 in both
dimensions. Test them against the conditions and combine the tests with an
|= operator. Thus you replace the nested loop with one that has only 16
On Sun, Feb 5, 2012 at 12:06 PM, josef.p...@gmail.com wrote:
On Sun, Feb 5, 2012 at 12:52 PM, Paolo p.zaff...@yahoo.it wrote:
How I can do this?
I'm not sure without trying, numpy.loadtxt might be the easier choice
matrix=.join((i.strip() for i in f.readlines()))
I think strip()
On Sat, Feb 4, 2012 at 2:35 PM, Benjamin Root ben.r...@ou.edu wrote:
On Saturday, February 4, 2012, Naresh Pai n...@uark.edu wrote:
I am somewhat new to Python (been coding with Matlab mostly). I am
trying to
simplify (and expedite) a piece of code that is currently a bottleneck
in a
Bump...
On Mon, Jan 30, 2012 at 1:17 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
In the following code, numpy.sin() calls the object's sin() function:
In [2]: class Foo(object):
...: def sin(self):
...: return spam
...:
In [3]: f = Foo()
In [4
On Tue, Jan 31, 2012 at 4:22 PM, Robert Kern robert.k...@gmail.com wrote:
On Tue, Jan 31, 2012 at 22:17, Travis Oliphant tra...@continuum.io
wrote:
I also agree that an exception should be raised at the very least.
It might also be possible to make the NumPy any, all, and sum functions
In the following code, numpy.sin() calls the object's sin() function:
In [2]: class Foo(object):
...: def sin(self):
...: return spam
...:
In [3]: f = Foo()
In [4]: np.sin(f)
Out[4]: 'spam'
Is this, in fact, guaranteed behavior for a ufunc? It does not appear to
be
On Tue, Dec 13, 2011 at 4:11 PM, Ken Basye kbas...@jhu.edu wrote:
Hi folks,
I need an efficient way to get both the min and argmin of a 2-d
array along one axis. It seemed to me that the way to do this was to
get the argmin and then use it to index into the array to get the min,
but I
On Mon, Dec 12, 2011 at 10:22 AM, Chris.Barker chris.bar...@noaa.govwrote:
On 12/11/11 8:40 AM, Ralf Gommers wrote:
On Wed, Dec 7, 2011 at 7:50 PM, Chris.Barker chris.bar...@noaa.gov
* If we have a good, fast ascii (or unicode?) to array reader,
hopefully
it could be leveraged for
On Sun, Dec 4, 2011 at 5:30 AM, Didrik Pinte dpi...@enthought.com wrote:
On Sun, Dec 4, 2011 at 6:11 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
In numpy 1.6.1, what's the most straightforward way to convert a
datetime64
to a python datetime.datetime? E.g. I have
In [1
In numpy 1.6.1, what's the most straightforward way to convert a datetime64
to a python datetime.datetime? E.g. I have
In [1]: d = datetime64(2011-12-03 12:34:56.75)
In [2]: d
Out[2]: 2011-12-03 12:34:56.75
I want the same time as a datetime.datetime instance. My best hack so far
is to
On Sat, Dec 3, 2011 at 12:35 AM, Robin Kraft rkra...@gmail.com wrote:
I need to take an array - derived from raster GIS data - and upsample or
scale it. That is, I need to repeat each value in each dimension so that,
for example, a 2x2 array becomes a 4x4 array as follows:
[[1, 2],
[3, 4]]
On Fri, Nov 18, 2011 at 10:40 AM, Chao YUE chaoyue...@gmail.com wrote:
Thanks to all people for this very nice discussions.
the solutions are more that what I want!! and help me to clarify some
concepts, and really begin to use class as a beginner :)
FYI: Just a day or so ago, I stumbled
On Tue, Nov 15, 2011 at 10:48 AM, Andreas Müller
amuel...@ais.uni-bonn.dewrote:
**
On 11/15/2011 05:46 PM, Andreas Müller wrote:
On 11/15/2011 04:28 PM, Bruce Southey wrote:
On 11/14/2011 10:05 AM, Andreas Müller wrote:
On 11/14/2011 04:23 PM, David Cournapeau wrote:
On Mon, Nov 14,
On Sat, Nov 12, 2011 at 6:43 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 3:36 AM, Geoffrey Zhu zyzhu2...@gmail.com wrote:
Hi,
I am playing with multiple ways to speed up the following expression
(it is in the inner loop):
C[1:(M - 1)]=(a * C[2:] + b * C[1:(M-1)] + c *
On Sat, Nov 12, 2011 at 9:59 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 10:31 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Sat, Nov 12, 2011 at 6:43 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 3:36 AM, Geoffrey Zhu zyzhu2...@gmail.com
wrote
On Sat, Nov 12, 2011 at 11:16 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 11:32 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Sat, Nov 12, 2011 at 9:59 AM, josef.p...@gmail.com wrote:
On Sat, Nov 12, 2011 at 10:31 AM, Warren Weckesser
warren.weckes
On Fri, Oct 14, 2011 at 7:04 AM, Neal Becker ndbeck...@gmail.com wrote:
suppose I have:
In [10]: u
Out[10]:
array([[0, 1, 2, 3, 4],
[5, 6, 7, 8, 9]])
And I have a vector v:
v = np.array ((0,1,0,1,0))
I want to form an output vector which selects items from u where v is the
On Thu, Oct 6, 2011 at 7:08 AM, Neal Becker ndbeck...@gmail.com wrote:
Given a vector y, I want a matrix H whose rows are
y - x0
y - x1
y - x2
...
where x_i are scalars
Suggestion?
In [15]: import numpy as np
In [16]: y = np.array([10.0, 20.0, 30.0])
In [17]: x = np.array([0, 1,
, Warren Weckesser wrote:
On Thu, Oct 6, 2011 at 7:08 AM, Neal Becker ndbeck...@gmail.com wrote:
Given a vector y, I want a matrix H whose rows are
y - x0
y - x1
y - x2
...
where x_i are scalars
Suggestion?
In [15]: import numpy as np
In [16]: y = np.array
On Fri, Sep 16, 2011 at 10:18 AM, Benjamin Landenberger
benjamin.landenber...@imtek.uni-freiburg.de wrote:
Hello list!
I have an array *mask* of shape (a, b) and another array *intensities*
of shape (N, a, b), where the values in *mask* range from 0 to N-1. It
is somehow similar to label
On Wed, Aug 31, 2011 at 9:24 AM, Jean-Baptiste Marquette marqu...@iap.frwrote:
Hi Pierre,
On Aug 31, 2011, at 3:40 PM, Jean-Baptiste Marquette wrote:
Traceback (most recent call last):
File /Users/marquett/workspace/Distort/src/StatsSep.py, line 44, in
module
np.savetxt(Table,
On Tue, Aug 30, 2011 at 10:34 PM, Thomas Robitaille
thomas.robitai...@gmail.com wrote:
Hello,
Is the following behavior normal?
In [1]: import numpy as np
In [2]: np.dtype([('a','f4',2)])
Out[2]: dtype([('a', 'f4', (2,))])
In [3]: np.dtype([('a','f4',1)])
Out[3]: dtype([('a', 'f4')])
On Fri, Aug 19, 2011 at 10:09 AM, Jeremy Conlin jlcon...@gmail.com wrote:
On Fri, Aug 19, 2011 at 8:01 AM, Brent Pedersen bpede...@gmail.com
wrote:
On Fri, Aug 19, 2011 at 7:29 AM, Jeremy Conlin jlcon...@gmail.com
wrote:
On Fri, Aug 19, 2011 at 7:19 AM, Pauli Virtanen p...@iki.fi wrote:
On Tue, Aug 16, 2011 at 4:51 PM, Hongchun Jin hongchun...@gmail.com wrote:
*Thanks Derek for the quick reply. But **I am sorry, I did not make it
clear in my last email. Assume I have an array like *
*
['CAL_LID_L2_05kmCLay-Prov-V3-01.2008-01-01T00-37-48ZD.hdf'
On Fri, Aug 12, 2011 at 4:03 AM, Charanpal Dhanjal
dhan...@telecom-paristech.fr wrote:
Thank Nadav for testing out the matrix. I wonder if you had a chance to
check if the resulting decomposition contained NaN or Inf values?
As far I understood, numpy.linalg.svd uses routines in LAPACK and
On Thu, Aug 11, 2011 at 7:15 PM, Fernando Perez fperez@gmail.comwrote:
On Thu, Aug 11, 2011 at 4:43 PM, Jose Borreguero borregu...@gmail.com
wrote:
a = random.randn(3,3)
b = a.reshape(1,3,3).repeat(50,axis=0)
scipy.linalg.block_diag( *b )
slightly simpler, but equivalent, code:
On Tue, Jun 21, 2011 at 7:09 PM, Alex Flint alex.fl...@gmail.com wrote:
Is there a fast way to compute an array of sum-of-squared-differences
between a (small) K x K array and all K x K sub-arrays of a larger array?
(i.e. each element x,y in the output array is the SSD between the small
On Fri, Jun 3, 2011 at 1:46 PM, Neal Becker ndbeck...@gmail.com wrote:
Can I arrange to reinterpret an array of complex of length N as an array of
float of length 2N, and vice-versa? If so, how?
You can use the view() method (if the data is contiguous):
In [14]: z = array([1.0+1j, 2.0+3j,
On Tue, May 31, 2011 at 8:08 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
Hi All,
I've been contemplating new functions that could be added to numpy and
thought I'd run them by folks to see if there is any interest.
1) Modified sort/argsort functions that return the maximum k
On Fri, May 27, 2011 at 9:07 PM, Aradenatorix Veckhom Vacelaevus
arad...@gmail.com wrote:
Hi again:
Well, finally I solved my troubles with the importation of data from the
Fortran files I've mentioned here few weeks ago... but the importation using
the VTK legacy formats doesn't works... I
On Sun, May 8, 2011 at 7:23 PM, Charles R Harris
charlesr.har...@gmail.comwrote:
On Sun, May 8, 2011 at 3:15 PM, Paul Anton Letnes
paul.anton.let...@gmail.com wrote:
Hi,
it seems that I have found a bug in numpy.ndarray. numpy 1.5.1, python
2.7.1 from macports on mac os x 10.6.7. I got
On Tue, Apr 26, 2011 at 4:21 PM, Ralf Gommers
ralf.gomm...@googlemail.comwrote:
On Mon, Apr 25, 2011 at 1:16 PM, Thiago Franco Moraes
totonixs...@gmail.com wrote:
Hi,
Has anyone confirmed if this is a bug? Should I post this in the bug
tracker?
I see the same thing with recent master.
On Fri, Apr 8, 2011 at 9:23 PM, Robert Love rblove_li...@comcast.netwrote:
Using np.loadtxt I can easily read my file that has columns of time, mode,
3 float64 for position and 3 for velocity like this.
dt = dtype([('time', '|S12'),
On Tue, Mar 29, 2011 at 11:59 AM, Sturla Molden stu...@molden.no wrote:
Den 29.03.2011 16:49, skrev Sturla Molden:
This will not work. A boolean array is not compactly stored, but an
array of bytes. Only the first bit 0 is 1 with probability p, bits 1 to
7 bits are 1 with probability 0.
On Mon, Mar 21, 2011 at 12:10 PM, Brent Pedersen bpede...@gmail.com wrote:
hi, is there a way to take the product along a 1-d array in a moving
window? -- similar to convolve, with product in place of sum?
currently, i'm column_stacking the array with offsets of itself into
window_size
On Mon, Mar 21, 2011 at 8:00 PM, Sachin Kumar Sharma ssharm...@slb.comwrote:
BB,
I have picked python recently and use it for simple day to day task. I am
looking a routine for loading Well Log Las format and storing information as
arrays or List.
Las format looks like following
On Thu, Mar 17, 2011 at 5:17 PM, santhu kumar mesan...@gmail.com wrote:
Hello all,
I am new to Numpy. I used to program before in matlab and am getting used
to Numpy.
I have a array like:
res
array([[ 33.35053669, 49.4615004 , 44.27631299, 1., 2.
],
[ 32.84263059,
On Sun, Feb 27, 2011 at 12:26 PM, Brandt Belson bbel...@princeton.eduwrote:
Thanks, but I just downloaded the source for versions 1.5.1 and 1.4.1 and
neither appear to have a swig directory in doc or numpy/doc. Are you sure
that it is included with the standard download from
On Fri, Feb 18, 2011 at 12:50 PM, Neal Becker ndbeck...@gmail.com wrote:
Neal Becker wrote:
My translation is:
x1 = rcv[n:n-N:-1]
z = np.dot (P, x1.conj().transpose())
g = z / (_lambda + np.dot (x1, z))
y = np.dot (h, x1.conj().transpose())
e = x[n-N/2]
On Tue, Feb 1, 2011 at 9:16 AM, Charles R Harris
charlesr.har...@gmail.comwrote:
On Tue, Feb 1, 2011 at 8:02 AM, Mark Sienkiewicz sienk...@stsci.eduwrote:
Hi,
I looked on the web site, but I couldn't find a list of python versions
that numpy expects to work on. Is the trunk still
On Mon, Jan 31, 2011 at 8:32 PM, Friedrich Romstedt
friedrichromst...@gmail.com wrote:
2011/1/28 Friedrich Romstedt friedrichromst...@gmail.com:
numpy.asarray([X(), numpy.asarray([1, 1])]).shape
(2,)
numpy.asarray([numpy.asarray([1, 1]), X()]).shape
()
Does noone have an opinion about
I see the same randomness, but at a different array size:
In [23]: numpy.__version__
Out[23]: '1.4.0'
In [24]: import numexpr
In [25]: numexpr.__version__
Out[25]: '1.4.1'
In [26]: x = zeros(8192)+0.01
In [27]: print evaluate('sum(x, axis=0)')
72.97
In [28]: print evaluate('sum(x, axis=0)')
Salvatier
jsalv...@u.washington.edu wrote:
I also get the same issue with prod()
On Mon, Jan 24, 2011 at 10:23 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
I see the same randomness, but at a different array size:
In [23]: numpy.__version__
Out[23]: '1.4.0'
In [24]: import
On Fri, Dec 3, 2010 at 6:31 AM, Mario Moura moura.ma...@gmail.com wrote:
Hi Folks
I have this situation
from timeit import Timer
reps = 5
t = Timer('itertools.combinations(range(1,10),3)', 'import itertools')
print sum(t.repeat(repeat=reps, number=1)) / reps
1.59740447998e-05
t =
On Mon, Nov 8, 2010 at 2:17 PM, Skipper Seabold jsseab...@gmail.com wrote:
On Mon, Nov 8, 2010 at 3:14 PM, Skipper Seabold jsseab...@gmail.com
wrote:
I am doing some optimizations on random samples. In a small number of
cases, the objective is not well-defined for a given sample (it's not
On Mon, Nov 8, 2010 at 2:52 PM, Skipper Seabold jsseab...@gmail.com wrote:
On Mon, Nov 8, 2010 at 3:45 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Mon, Nov 8, 2010 at 2:17 PM, Skipper Seabold jsseab...@gmail.com
wrote:
On Mon, Nov 8, 2010 at 3:14 PM, Skipper Seabold
On Mon, Nov 8, 2010 at 3:20 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Mon, Nov 8, 2010 at 2:52 PM, Skipper Seabold jsseab...@gmail.comwrote:
On Mon, Nov 8, 2010 at 3:45 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Mon, Nov 8, 2010 at 2:17 PM
On Wed, Nov 3, 2010 at 3:54 AM, Vincent Schut sc...@sarvision.nl wrote:
Hi, I'm running in this strange issue when using some pretty large
float32 arrays. In the following code I create a large array filled with
ones, and calculate mean and sum, first with a float64 version, then
with a
On Wed, Nov 3, 2010 at 5:59 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
On Wed, Nov 3, 2010 at 3:54 AM, Vincent Schut sc...@sarvision.nl wrote:
Hi, I'm running in this strange issue when using some pretty large
float32 arrays. In the following code I create a large array
On Wed, Nov 3, 2010 at 6:39 AM, Vincent Schut sc...@sarvision.nl wrote:
On 11/03/2010 12:31 PM, Warren Weckesser wrote:
On Wed, Nov 3, 2010 at 5:59 AM, Warren Weckesser
warren.weckes...@enthought.com mailto:warren.weckes...@enthought.com
wrote:
On Wed, Nov 3, 2010 at 3:54
On Tue, Oct 12, 2010 at 11:14 PM, Pinner, Luke
luke.pin...@environment.gov.au wrote:
I'm working with some MODIS satellite imagery. MODIS data includes a
quality flag mask. For the particular dataset I'm working with, this is
a two dimensional unsigned 16 bit integer array. The quality flags
On Sun, Oct 3, 2010 at 7:41 AM, Gordon Wrigley gor...@tolomea.com wrote:
I have an array of uint8's that has a shape of X*Y*Z*8, I would like to
calculate modes along the 8 axis so that I end up with an array that has the
shape X*Y*Z and is full of modes.
I'm having problems finding a good
Thomas Robitaille wrote:
Hi,
I'm trying to extract sub-sections of a multidimensional array while keeping
the number of dimensions the same. If I just select a specific element along
a given direction, then the number of dimensions goes down by one:
snip
In fact, I can get what I
Alex Ter-Sarkissov wrote:
hi, this is probably a very silly question, but I can't get my hear
around it unfortunately(
I have an array (say, mat=rand(3,5)) from which I 'pull out' a row
(say, s1=mat[1,]). The problem is, the shape of this row s1 is not
[1,5], as I would expect, but
Nikolaus Rath wrote:
Hello,
I want to find the first i such that x[i] y and x[i+1] = y. Is there
a way to do this without using a Python loop?
I can't use np.searchsorted(), because my x array crosses y several
times.
Best,
-Nikolaus
Here's one way:
In [32]: x
Out[32]:
Scott MacDonald wrote:
Hi,
I have a text file called 'blah' that contains only the following line:
5399354557888517312,5399354557888517312
I want to load these into a numpy array as unit64's. The following
script demonstrates my problem:
import numpy as np
with open('blah', 'r') as
Pauli Virtanen wrote:
Thu, 22 Jul 2010 00:47:20 -0400, Robin Kraft wrote:
[clip]
Let's say the image looks like this: np.random.randint(0,2,
16).reshape(4,4)
array([[0, 0, 0, 1],
[0, 0, 1, 1],
[1, 1, 0, 0],
[0, 0, 0, 0]])
I want to use a square, non-overlapping
Keith Goodman wrote:
On Thu, Jul 22, 2010 at 7:48 AM, Warren Weckesser
warren.weckes...@enthought.com wrote:
Actually, because of the use of reshape(3,3,4), your second
example does make a copy.
When does reshape return a view and when does it return a copy?
According
John Salvatier wrote:
I get the same result on 1.4.1
On Thu, Jul 22, 2010 at 1:00 PM, Johann Hibschman
jhibschman+nu...@gmail.com mailto:jhibschman%2bnu...@gmail.com wrote:
I'm trying to understand numpy.subtract.reduce. The documentation
doesn't seem to match the behavior. The
I would like to take the example shown here:
http://docs.scipy.org/doc/numpy/user/c-info.how-to-extend.html#example
and complete the code so I can build and test the extension module. Is
that example currently correct? It is slightly different from the older
example in the numpy book, so
Warren Weckesser wrote:
I would like to take the example shown here:
http://docs.scipy.org/doc/numpy/user/c-info.how-to-extend.html#example
and complete the code so I can build and test the extension module. Is
that example currently correct? It is slightly different from the older
Kurt Smith wrote:
I'd really like arr.copy(order='F') to work -- is it supposed to as
its docstring says, or is it supposed to raise a TypeError as it does
now?
It works for me if I don't use the keyword. That is,
b = a.copy('F')
But I get the same error if I use order='F', so there
Benjamin Root wrote:
Hi,
I was having the hardest time trying to figure out an intermittent bug
in one of my programs. Essentially, in some situations, it was
throwing an error saying that the array object was not an array. It
took me a while, but then I figured out that my program was
Tony S Yu wrote:
I came across some strange behavior when multiplying numpy floats and python
lists: the list is returned unchanged:
In [18]: np.float64(1.2) * [1, 2]
Out[18]: [1, 2]
Apparently the np.float64 object is cast to an int, and python's * is used:
In [7]:
Benjamin Root wrote:
Brad, I think you are doing it the right way, but I think what is
happening is that the reshape() call on the sliced array is forcing a
copy to be made first. The fact that the copy has to be made twice
just worsens the issue. I would save a copy of the reshape result
Robert Kern wrote:
On Mon, Jun 14, 2010 at 19:00, Vishal Rana ranavis...@gmail.com wrote:
Hi,
I have dictionary of numpy record arrays, what could be fastest way to
save/load to/from a disk. I tried numpy.save() but my dictionary is lost and
cPickle seems to be slow.
numpy.savez()
From the chararray docstring:
Versus a regular Numpy array of type `str` or `unicode`, this
class adds the following functionality:
1) values automatically have whitespace removed from the end
when indexed
So I guess it is a feature, not a bug. :)
Warren
Neil
Dr. Phillip M. Feldman wrote:
Anne Archibald-2 wrote:
on a 32-bit machine,
the space overhead is roughly a 32-bit object pointer or two for each
float, plus about twice the number of floats times 32-bit pointers for
the table.
Hello Anne,
I'm a bit confused by the above. It
Gökhan Sever wrote:
Hello,
Is b an expected value? I am suspecting another floating point
arithmetic issue.
Exactly. You'll see the same type of problem with float64, too:
In [17]: z = np.arange(1.7, 1.8, 0.1)
In [18]: z
Out[18]: array([ 1.7, 1.8])
In [19]: z[1] == 1.8
Out[19]: True
Travis Oliphant wrote:
On Apr 26, 2010, at 12:03 PM, Charles R Harris wrote:
On Mon, Apr 26, 2010 at 10:55 AM, Charles R Harris
charlesr.har...@gmail.com mailto:charlesr.har...@gmail.com wrote:
Hi All,
We need to make a decision for ticket #1123
Gökhan Sever wrote:
On Wed, Apr 14, 2010 at 1:10 AM, Peter Shinners p...@shinners.org
mailto:p...@shinners.org wrote:
I have an array that represents the number of times a value has been
given. I'm trying to find a direct numpy way to add into these sums
without requiring a
Robert Kern wrote:
On Mon, Apr 12, 2010 at 17:26, Travis Oliphant oliph...@enthought.com wrote:
On Apr 11, 2010, at 2:56 PM, Anne Archibald wrote:
2010/4/10 Stéfan van der Walt ste...@sun.ac.za:
On 10 April 2010 19:45, Pauli Virtanen p...@iki.fi wrote:
Another addition to ufuncs that
Are you sure you wanted to make `left` and `right` tuples that contain
just one element (which is a numpy array)? In your code, len(a1) will be 1.
Maybe I am misinterpreting your code, but I think you want this:
left = array([ 107, 594, 1082, 1569, 2057, 2545, 3033, 3520])
right = array([
Antoine Pairet wrote:
Hi all!
I am trying to install numpy on a computer which runs Linux and on which
I have no root access. The only possibility is therefore to compile
numpy from source. With the following command, the compilation seems to
work fine:
python setup.py install
Vishal Rana wrote:
Hi,
I know its easy, but I am not just getting it...
How do I get last element on axis=1 for:
a = array([[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19],
[20, 21, 22, 23, 24]])
Expected: array([4, 9,
M Trumpis wrote:
Hi all,
snip
And a last mini question, it doesn't appear that any() is doing short
circuit evaluation. It runs in appx the same time whether an array is
sparsely nonzero, fully zero, or fully nonzero.
That's not what I see. Here's an example that shows the a linear
T J wrote:
On Wed, Mar 31, 2010 at 1:21 PM, Charles R Harris
charlesr.har...@gmail.com wrote:
Looks like roundoff error.
So this is expected behavior?
In [1]: np.logaddexp2(-1.5849625007211563, -53.584962500721154)
Out[1]: -1.5849625007211561
In [2]:
Cristiano Fini wrote:
Hi Everyone,
a beginner's question on how to perform some data substitution
efficiently. I have a panel dataset, or in other words x individuals
observed over a certain time span. For each column or individual, I
need to substitute a certain value anytime a certain
Jerome Esteve wrote:
Dear all,
Is there a way to give an integer value to j when using a[i:j:-1] so
that the first element of the array can be included in the slice ?
I would like to use some code like a[i:i-k:-1] to get a slice of
length k.
The numpy documentation seems to suggest
Warren Weckesser wrote:
Jerome Esteve wrote:
Dear all,
Is there a way to give an integer value to j when using a[i:j:-1] so
that the first element of the array can be included in the slice ?
I would like to use some code like a[i:i-k:-1] to get a slice of
length k.
The numpy
Neal Becker wrote:
This is a bit confusing to me:
import numpy as np
u = np.ones ((3,3))
for u_row in u:
u_row = u_row * 2 doesn't work
Try this instead:
for u_row in u:
u_row[:] = u_row * 2
Warren
print u
[[ 1. 1. 1.]
[ 1. 1. 1.]
[ 1. 1. 1.]]
for u_row in
James Bergstra wrote:
On Tue, Mar 2, 2010 at 3:09 PM, Christopher Barker
chris.bar...@noaa.gov wrote:
James Bergstra wrote:
Maybe I'm missing something... but I don't think I want to create an array.
In [3]: import numpy
In [4]: type(numpy.int8())
Out[4]: type 'numpy.int8'
In
James Bergstra wrote:
On Tue, Mar 2, 2010 at 7:18 PM, Warren Weckesser
warren.weckes...@enthought.com wrote:
James Bergstra wrote:
On Tue, Mar 2, 2010 at 3:09 PM, Christopher Barker
chris.bar...@noaa.gov wrote:
James Bergstra wrote:
Maybe I'm missing something
Ralf Gommers wrote:
Hi all,
I'm trying to read in data from text files with genfromtxt, and have
some trouble figuring out the right combination of keywords. The
format is:
['0\t\t4.000e+007,0.000e+000\n',
'\t9.860280631554179e-001,-1.902586503306264e-002\n',
Sam Tygier wrote:
Hi
I am trying to read an ascii file which mixes ints, floats and stings.
eg.
1 2.3 'a' 'abc '
2 3.2 'b' ' '
3 3.4 ' ' 'hello'
Within a column that data is always the same. the strings are sometimes
contain with spaces.
Does each column always contain the same
Here's another way, using 'astype':
In [1]: import numpy as np
In [2]: x = np.array([1.0, 2.0, 3.0])
In [3]: y = x.astype(int)
In [4]: y
Out[4]: array([1, 2, 3])
Warren
David Goldsmith wrote:
Hi! Is there a less cumbersome way (e.g., one that has a cast-like
syntax and/or leverages
Charles R Harris wrote:
Hi All,
I would be much obliged if some folks would run the attached script
and report the output, numpy version, and python version. It just runs
np.isinf(np.inf), which raises an invalid value warning with current
numpy. As far as I can see the function itself
Tom,
'mask' has 285 elements and 'delta' has 284 elements. If these are to
be used as arguments of numpy.repeat(), they must be the same length.
Warren
Thomas Evangelidis wrote:
Dear programmers,
I'm not familiar with numpy therefore I need a little help to debug
code which was not
Vishal,
Robert's code does the trick, but--in case you are new to numpy record
arrays-I thought I'd point out that the array itself already acts like a
list of dictionaries:
In [6]: import numpy as np
In [7]: dt = np.dtype([('name', 'S30'),('age',int),('weight',float)])
In [8]: r =
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