Thank you Pierre.
with best regards,
Sudheer
From: Pierre Haessig pierre.haes...@crans.org
To:
Cc: matplotlib-users@lists.sourceforge.net
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
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.
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]
On Wed, Feb 27, 2013 at 1:01 AM, Sudheer Joseph sudheer.jos...@yahoo.comwrote:
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
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 both
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 :
2013 10:23 PM
Subject: Re: [Matplotlib-users] cross correlation
Sudheer,
For the documentation you are looking for
print ax1.xcorr.__doc__
(Paul tried to give you the IPython method of getting that documentation which
is by typing a ? (or ??) after the desired object.)
In the documentation
.axhline(0, color='black', lw=2)
plt.show()
From: Paul Hobson pmhob...@gmail.com
To: Sudheer Joseph sudheer.jos...@yahoo.com
Cc: matplotlib-users@lists.sourceforge.net
matplotlib-users@lists.sourceforge.net
Sent: Thursday, 7 February 2013 10:31 PM
Subject: Re: [Matplotlib-users] cross
On Thu, Feb 7, 2013 at 3:24 AM, Sudheer Joseph sudheer.jos...@yahoo.comwrote:
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
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 your
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