Thank you Pierre.
with best regards,
Sudheer
From: Pierre Haessig
To:
Cc: "matplotlib-users@lists.sourceforge.net"
Sent: Thursday, 28 February 2013 7:15 PM
Subject: Re: [Matplotlib-users] cross correlation
Hi,
Le 27/02/2013 10:01, Sudheer Joseph a écrit :
> I was checking
Hi,
Le 27/02/2013 10:01, Sudheer Joseph a écrit :
> I was checking the plt.xcorr and it calls the np.correlate in side it.
> It calls np.correlate(ts1,ts2, mode=2).
Just as a side note, mode=2 is the old fashioned way to specify
mode='full' [1]. This may help in reading the numpy.correlate doc.
T
On Wed, Feb 27, 2013 at 1:01 AM, Sudheer Joseph wrote:
> Dear Pierre,
> I was checking the plt.xcorr and it calls the
> np.correlate in side it. It calls np.correlate(ts1,ts2, mode=2).
> Is there a way to see which vector is sided back in time? ie
> ts1[t1,t2,t3,t4] ts2
Dear Pierre,
I was checking the plt.xcorr and it calls the
np.correlate in side it. It calls np.correlate(ts1,ts2, mode=2).
Is there a way to see which vector is sided back in time? ie
ts1[t1,t2,t3,t4] ts2[t1,t2,t3,t4...] ( ts2[t2] correlated with ts1[t1] or
ts2[t1]
Le 21/02/2013 17:33, Sudheer Joseph a écrit :
> Thank you Pierre,
> I will test the other options. I did not
> know the number limitation in case of plt.xcorr.
> Thanks a lot
> with best regards,
Just for reference :
http://stackoverflow.com/questions/6991471/computin
...@yahoo.com
Web- http://oppamthadathil.tripod.com
***
From: Pierre Haessig
To: matplotlib-users@lists.sourceforge.net
Sent: Thursday, 21 February 2013 9:52 PM
Subject: Re: [Matplotlib-users] cross correlation
Hi Sudheer,
Le 21/02/2013 02:22, Sudheer Joseph a écrit :
> Thank you very much Smith and Paul,
> I was away from office due
> to a medical situation. So could not respond and thank you regarding
> the help. I have got the results now and the tips from bo
tripod.com
***
From: Sterling Smith
To: Sudheer Joseph
Cc: Paul Hobson ; "matplotlib-users@lists.sourceforge.net"
Sent: Friday, 8 February 2013 10:23 PM
Subject: Re: [Matplotlib-users] cross correlation
Sudheer,
For t
e, maxlags=50, lw=2)
> ax2.grid(True)
> ax2.axhline(0, color='black', lw=2)
> plt.show()
>
>
> From: Paul Hobson
> To: Sudheer Joseph
> Cc: "matplotlib-users@lists.sourceforge.net"
>
> Sent: Thursday, 7 February 2013 10:31 PM
> Subjec
7 February 2013 10:31 PM
Subject: Re: [Matplotlib-users] cross correlation
On Thu, Feb 7, 2013 at 3:24 AM, Sudheer Joseph wrote:
Dear Users,
> I am relatively new to Matplotlib. I wanted to find cross
>correlation between 2 time series for my research and was looking at option
On Thu, Feb 7, 2013 at 3:24 AM, Sudheer Joseph wrote:
> Dear Users,
> I am relatively new to Matplotlib. I wanted to find cross
> correlation between 2 time series for my research and was looking at
> options available with python and found
> http://matplotlib.org/api/pyplot_api.html
Dear Users,
I am relatively new to Matplotlib. I wanted to find cross
correlation between 2 time series for my research and was looking at options
available with python and found
http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.xcorr . However I
wanted to save the resul
> So ... does matplotlib have something akin to what I'm after or is
> there an extention that might have it?
Perhaps the 'correlate' function in NumPy is what you're looking for?
Joris
Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
Ciao Sarah
> cross_correlate, but given two arrays, that function returns a single
> scalar value (whereas I was expecting a list of correlation
> coefficients corresponding to how well the two signals match on
> successive lags).
That's not really a mpl question, more a 'numerix' one: what does y
Hi y'all.
I have two series of data, taken over a period of time and I want to
know whether one set of data contains a signal similar to that in the
other. I believe the way to do this is to use cross-correlation(*) and
I notice that dir(pylab) now contains a function called
cross_correlate, but g
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