Hi,
Is there something wrong with scipy.special.hermite? The following code
produces glibc errors:
8---
import scipy.special
h = []
for i in xrange(15):
print i
h.append(scipy.special.hermite(i+1))
8---
results in
...
12
On Tue, Oct 27, 2009 at 8:25 AM, josef.p...@gmail.com wrote:
This should not be the correct results if you use
scipy.stats.scoreatpercentile,
it doesn't have correct missing value handling, it treats nans or
mask/fill values as regular numbers sorted to the end.
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 division's OK, it's mlab.prctile which is borked. It
uses the length of the input
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
Dear Numpy Mailing List Readers,
I have a quite simple problem, for what I did not find a solution for now.
I have a gzipped file lying around that has some numbers stored in it and I
want to read them into a numpy array as fast as possible but only a bunch
of data at a time.
So I would like to
On Wed, Oct 28, 2009 at 14:31, Peter Schmidtke pschmid...@mmb.pcb.ub.es wrote:
Dear Numpy Mailing List Readers,
I have a quite simple problem, for what I did not find a solution for now.
I have a gzipped file lying around that has some numbers stored in it and I
want to read them into a numpy
Robert Kern wrote:
f=gzip.open( myfile.gz, r )
xyz=npy.fromfile(f,dtype=float32,count=400)
Read in reasonably-sized chunks of bytes at a time, and use
np.fromstring() to create arrays from them.
Something like:
count = 400
xyz = np.fromstring(f.read(count*4), dtype=np.float32)
that code works fine for me:
ubuntu 9.04 x64
python 2.6.2
scipy 0.7.1
numpy 1.3.0
ipython 0.9.1
On Wed, Oct 28, 2009 at 2:21 PM, Ole Streicher ole-usenet-s...@gmx.net wrote:
Hi,
Is there something wrong with scipy.special.hermite? The following code
produces glibc errors:
ke, 2009-10-28 kello 14:21 +0100, Ole Streicher kirjoitti:
Is there something wrong with scipy.special.hermite? The following
code produces glibc errors:
It's probably this issue:
http://projects.scipy.org/numpy/ticket/1211
The most likely cause is that the linear algebra libraries
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 should start with.
If any one has any specific AMI's that they think are
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