On Wednesday, February 15, 2012, Pierre Haessig
wrote:
> 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. Ho
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
On Thu, Feb 2, 2012 at 1:58 AM, wrote:
> On Wed, Feb 1, 2012 at 6:48 PM, Benjamin Root wrote:
> >
> >
> > On Wednesday, February 1, 2012, Pierre Haessig >
> > wrote:
> >> Hi,
> >>
> >> [I'm not sure whether this discussion belongs to numpy-discussion or
> >> scipy-dev]
> >>
> >> In day to day t
On Wed, Feb 1, 2012 at 6:48 PM, Benjamin Root wrote:
>
>
> On Wednesday, February 1, 2012, Pierre Haessig
> 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
>> autoc
On Wednesday, February 1, 2012, Pierre Haessig
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 package).
> The st
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 matplotlib.pyplot.a
