Thanks for all the feedback (on the SSD too). For what concerns biggus
library, for working on larger-than-memory arrays, this is really interesting,
but unfortunately I don't have time to test it at the moment, I will try to
have a look at it in the future. I hope to see something like that
Dear Numpy/Scipy experts,
Attached is a script which I made
to test the numpy.correlate ( which is called py plt.xcorr) to see how the
cross correlation is calculated. From this it appears the if i call
plt.xcorr(x,y)
Y is slided back in time
On Wed, Mar 13, 2013 at 7:20 PM, Neal Becker ndbeck...@gmail.com wrote:
Robert Kern wrote:
On Wed, Mar 13, 2013 at 6:40 PM, Neal Becker ndbeck...@gmail.com wrote:
Grabbed numpy-1.7.0 source.
Cython is 0.18
cython mtrand.pyx produces lots of errors.
It helps to copy-and-paste the errors
On Wed, Mar 13, 2013 at 12:16 AM, Neal Becker ndbeck...@gmail.com wrote:
I guess I talked to you about 100 years ago about sharing state between numpy
rng and code I have in c++ that wraps boost::random. So is there a C-api for
this RandomState object I could use to call from c++? Maybe I
Robert Kern wrote:
On Wed, Mar 13, 2013 at 12:16 AM, Neal Becker ndbeck...@gmail.com wrote:
I guess I talked to you about 100 years ago about sharing state between numpy
rng and code I have in c++ that wraps boost::random. So is there a C-api for
this RandomState object I could use to call
Robert Kern wrote:
On Wed, Mar 13, 2013 at 12:16 AM, Neal Becker ndbeck...@gmail.com wrote:
I guess I talked to you about 100 years ago about sharing state between numpy
rng and code I have in c++ that wraps boost::random. So is there a C-api for
this RandomState object I could use to call
On Thu, Mar 14, 2013 at 11:00 AM, Neal Becker ndbeck...@gmail.com wrote:
Robert Kern wrote:
On Wed, Mar 13, 2013 at 12:16 AM, Neal Becker ndbeck...@gmail.com wrote:
I guess I talked to you about 100 years ago about sharing state between
numpy
rng and code I have in c++ that wraps
Answering to myself, this pull request seems to implement an inner
product with broadcasting (inner1d) and many other useful functions:
https://github.com/numpy/numpy/pull/2954/
-J
On 03/13/2013 04:21 PM, Jaakko Luttinen wrote:
Hi!
How can I compute dot product (or similar multiplysum
Birdada Simret birdada85 at gmail.com writes:
Any help from Numpy community
[[ 0. 1.54 0. 0. 0. 1.08
1.08 1.08 ]
[ 1.54 0. 1.08 1.08 1.08 0. 0.
0. ]
[ 0. 1.08
Robert Kern wrote:
On Thu, Mar 14, 2013 at 11:00 AM, Neal Becker ndbeck...@gmail.com wrote:
Robert Kern wrote:
On Wed, Mar 13, 2013 at 12:16 AM, Neal Becker ndbeck...@gmail.com wrote:
I guess I talked to you about 100 years ago about sharing state between
numpy
rng and code I have in c++
Birda,
I think this will get you some of the way there:
import numpy as np
x = ... # Here's your 2D atomic distance array
# Create an indexing array
index = np.arange( x.size ).reshape( x.shape )
# Find the non-zero indices
items = index[ x != 0 ]
# You only need the first half
Hi Ryan,Thank you very much indeed, I'm not sure if I well understood your
code, let say, for the example array matrix given represents H3C-CH3
connection(bonding).
the result from your code is:
Rows:[0 0 0 0 1 1 1] # is these for C indices?
Columns: [1 2 3 4 5 6 7] # is these for H
On Thu, Mar 14, 2013 at 1:48 AM, Andrea Cimatoribus
andrea.cimatori...@nioz.nl wrote:
Thanks for all the feedback (on the SSD too). For what concerns biggus
library, for working on larger-than-memory arrays, this is really
interesting, but unfortunately I don't have time to test it at the
Birdada Simret birdada85 at gmail.com writes:
Hi Ryan,Thank you very much indeed, I'm not sure if I well understood your
code, let say, for the example array matrix given represents H3C-CH3
connection(bonding).
the result from your code is:
Rows: [0 0 0 0 1 1 1] # is these for C
Oh, thanks alot. can the atoms = np.array(['C1', 'C2', 'H3', 'H4', 'H5',
'H6', 'H7', 'H8']) able to make general? I mean, if I have a big
molecule, it seems difficult to label each time. Ofcourse I'm new to
python(even for programing) and I didn't had any knowhow about pandas, but
i will try it.
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