Hi Dan,
I have recently created an AMI for running python processes.
I recommend using the ubuntu server ami's provided by http://alestic.com/.
Alestic is a well known provider of public AMI images. I think this is
exactly the place you want to start from; anything you need is an apt-get or
Hi,
I have added a couple of utilities for floating point comparison, to
be used in unit tests mostly, and would like some comments, especially
from people knowledgeable about floating point.
http://github.com/cournape/numpy/tree/new_ulp_comp
The main difference compared to other functions
Hi,
I am trying to load a tsv file using numpy.loadtxt:
data = np.loadtxt('data.txt',delimiter='\t',dtype=np.float)
And I get:
-
/usr/lib/python2.6/site-packages/numpy/lib/io.pyc in loadtxt(fname, dtype,
comments, delimiter, converters, skiprows, usecols, unpack)
503
Date: Wed, 28 Oct 2009 20:31:43 +0100
From: Peter Schmidtke pschmid...@mmb.pcb.ub.es
Subject: [Numpy-discussion] reading gzip compressed files using
numpy.fromfile
To: numpy-discussion@scipy.org
Message-ID: fc345224bfa26132e9474287e32e0...@mmb.pcb.ub.es
Content-Type: text/plain;
Have you tried the numpy.fromfile function? This usually worked great for
my files that had the same format than yours.
++
Peter
--
PhD Student at the Molecular Modeling and Bioinformatics Group
Dep. Physical Chemistry
Faculty of Pharmacy
University of Barcelona
On Fri, Oct 23, 2009 at 9:09 AM, David Warde-Farley d...@cs.toronto.eduwrote:
The Python.org sources for 2.6.x has a script in the Mac/ subdirectory
(I think, or in the build tools) for building a 4-way universal binary
(i386, x86_64, ppc and ppc64). You can rather easily build it (just
run
Adter trying the same thing in matlab, I realized that my tsv file is not
matrix-style. But this I mean, not all lines ave the same lenght (not the
same number of values).
What would be the best way to load this?
Regards,
Nathan
--
View this message in context:
On Thu, 29 Oct 2009 05:30:09 -0700 (PDT), TheLonelyStar
nabb...@lonely-star.org wrote:
Adter trying the same thing in matlab, I realized that my tsv file is
not
matrix-style. But this I mean, not all lines ave the same lenght (not the
same number of values).
What would be the best way to
On 10/29/2009 07:30 AM, TheLonelyStar wrote:
Adter trying the same thing in matlab, I realized that my tsv file is not
matrix-style. But this I mean, not all lines ave the same lenght (not the
same number of values).
What would be the best way to load this?
Regards,
Nathan
Hi,
I'm getting (to me( very mysterious NaNs when doing matrix
multiplication with certain (randomly generated) data:
In [52]: a.shape, b.shape, i, j
Out[52]: ((22, 1000), (1000, 22), 0, 16)
In [53]: np.dot(a, b)[i,j]
Out[53]: (31.322778824758661+nan*j)
In [54]: np.dot(a[i,:], b[:,j])
Out[54]:
On Thu, Oct 29, 2009 at 10:26 PM, Dag Sverre Seljebotn
da...@student.matnat.uio.no wrote:
I'm getting (to me( very mysterious NaNs when doing matrix
multiplication with certain (randomly generated) data:
In [52]: a.shape, b.shape, i, j
Out[52]: ((22, 1000), (1000, 22), 0, 16)
In [53]:
David Cournapeau wrote:
On Thu, Oct 29, 2009 at 10:26 PM, Dag Sverre Seljebotn
da...@student.matnat.uio.no wrote:
I'm getting (to me( very mysterious NaNs when doing matrix
multiplication with certain (randomly generated) data:
In [52]: a.shape, b.shape, i, j
Out[52]: ((22, 1000),
On Wed, Oct 28, 2009 at 23:29, Dan Yamins dyam...@gmail.com wrote:
Hi all:
I'm gearing up to build an Amazon Machine Instance (AMI) for use in doing
Numpy/Scipy computations on the Amazon EC2 cloud.
I'm writing to ask if anyone has any advice for which (if any) publicly
available AMI I
I haven't used it, but this seems to provide a good environment for your
needs.
http://web.mit.edu/stardev/cluster/
Robert Kern to the rescue again! StarCluster looks great. And thanks
Dorian as well, I'm also checking out Alestic.
Dan
--
Robert Kern
I have come to believe
On Thu, Oct 29, 2009 at 02:17, David Cournapeau
da...@ar.media.kyoto-u.ac.jp wrote:
Hi,
I have added a couple of utilities for floating point comparison, to
be used in unit tests mostly, and would like some comments, especially
from people knowledgeable about floating point.
Peter Schmidtke wrote:
Have you tried the numpy.fromfile function?
good point -- fromfile() can be much faster for the simple cases it can
handle.
not all lines ave the same lenght (not the
same number of values).
What would be the best way to load this?
That depends on what the data
On Oct 29, 2009, at 8:30 AM, TheLonelyStar wrote:
Adter trying the same thing in matlab, I realized that my tsv file
is not
matrix-style. But this I mean, not all lines ave the same lenght
(not the
same number of values).
What would be the best way to load this?
The SVN version of
Hi -
I want to start trying out the new dtype for representation of arrays
of times, datetime64, which is implemented in the current svn. Is
there any documentation anywhere? I know of this proposal:
http://numpy.scipy.org/svn/numpy/tags/1.3.0/doc/neps/datetime-proposal3.rst
but apparently the
Hi,
On 29/10/09: 12:18, Ariel Rokem wrote:
I want to start trying out the new dtype for representation of arrays
of times, datetime64, which is implemented in the current svn. Is
there any documentation anywhere? I know of this proposal:
On Oct 29, 2009, at 4:22 PM, Alok Singhal wrote:
Hi,
On 29/10/09: 12:18, Ariel Rokem wrote:
I want to start trying out the new dtype for representation of arrays
of times, datetime64, which is implemented in the current svn. Is
there any documentation anywhere? I know of this proposal:
20 matches
Mail list logo
