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] is correlated with ts2[t2] ie {to make out which one is the cause and
which is effect)
in case of cross correlation it can be obtained by either sliding ts1 back in
time or ts2 back in time. Is there a way to know this? I am not able to make
much from np.correlate. Also is there a way to get 95% significance or p value
from the xcorr.? in case of matlab? in matlab xcorr can be called with option
of corcoeff instead of default cross correlation but is there similar option
for matplotlib?
sincerely.
Sudheer
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Sudheer Joseph
Indian National Centre for Ocean Information Services
Ministry of Earth Sciences, Govt. of India
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E-mail:sjo.in...@gmail.com;sudheer.jos...@yahoo.com
Web- http://oppamthadathil.tripod.com
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