Re: [Numpy-discussion] autocorrelation computation performance : use of np.correlate

2012-02-15 Thread Pierre Haessig
Le 04/02/2012 23:19, Ralf Gommers a écrit : scipy.signal is the right place I think. numpy shouldn't grow too many functions like this. [going back in time on the autocorrelation topic] I see scipy.signal being the good place. However, I have the (possibly wrong) feeling that Matplotlib is

Re: [Numpy-discussion] autocorrelation computation performance : use of np.correlate

2012-02-04 Thread Ralf Gommers
On Thu, Feb 2, 2012 at 1:58 AM, josef.p...@gmail.com wrote: On Wed, Feb 1, 2012 at 6:48 PM, Benjamin Root ben.r...@ou.edu wrote: On Wednesday, February 1, 2012, Pierre Haessig pierre.haes...@crans.org wrote: Hi, [I'm not sure whether this discussion belongs to numpy-discussion or

[Numpy-discussion] autocorrelation computation performance : use of np.correlate

2012-02-01 Thread Pierre Haessig
Hi, [I'm not sure whether this discussion belongs to numpy-discussion or scipy-dev] In day to day time series analysis I regularly need to look at the data autocorrelation (acorr or acf depending on the software package). The straighforward available function I have is

[Numpy-discussion] autocorrelation computation performance : use of np.correlate

2012-02-01 Thread Benjamin Root
On Wednesday, February 1, 2012, Pierre Haessig pierre.haes...@crans.org wrote: Hi, [I'm not sure whether this discussion belongs to numpy-discussion or scipy-dev] In day to day time series analysis I regularly need to look at the data autocorrelation (acorr or acf depending on the software

Re: [Numpy-discussion] autocorrelation computation performance : use of np.correlate

2012-02-01 Thread josef . pktd
On Wed, Feb 1, 2012 at 6:48 PM, Benjamin Root ben.r...@ou.edu wrote: On Wednesday, February 1, 2012, Pierre Haessig pierre.haes...@crans.org wrote: Hi, [I'm not sure whether this discussion belongs to numpy-discussion or scipy-dev] In day to day time series analysis I regularly need to