python Programming Glossary: autocorrelation

http://stackoverflow.com/questions/11743257/how-to-format-an-output-in-python

a code in python My code is here keys ' Lag d . d ' ' t' ' Autocorrelation Index d . d ' ' Autocorrelation Index d . d ' ' Semivariance.. keys ' Lag d . d ' ' t' ' Autocorrelation Index d . d ' ' Autocorrelation Index d . d ' ' Semivariance d . d ' import re string1 ''.join.. So far i am getting this output Lag 1 Lag 2 Lag 3 Autocorrelation Index #value ...... ...... Semivariance #value But the desired..

Is there any numpy autocorrellation function with standardized output?

http://stackoverflow.com/questions/12269834/is-there-any-numpy-autocorrellation-function-with-standardized-output

2 ## # second try ... Box and Jenkins chapter 2.1 Autocorrelation Properties # of stationary models ## # from table 2.1 I get..

How can I use numpy.correlate to do autocorrelation?

http://stackoverflow.com/questions/643699/how-can-i-use-numpy-correlate-to-do-autocorrelation

to 0 and then goes positive. That is you were expecting Autocorrelation a Sum for inf i inf a i v t i where 0 t inf But what you got.. for inf i inf a i v t i where 0 t inf But what you got was Autocorrelation a Sum for inf i inf a i v t i where inf t inf What you need..

Is there any numpy autocorrellation function with standardized output?

http://stackoverflow.com/questions/12269834/is-there-any-numpy-autocorrellation-function-with-standardized-output

standardized output I followed the advice of defining the autocorrelation function in another post def autocorr x result np.correlate.. an explanation for this strange not expected behaviour of autocorrelation Addition 2012 09 07 I got into Python programming and did the.. # now compute autocorrelation ########################################################## auCorr..

How can I use numpy.correlate to do autocorrelation?

http://stackoverflow.com/questions/643699/how-can-i-use-numpy-correlate-to-do-autocorrelation

can I use numpy.correlate to do autocorrelation I need to do auto correlation of a set of numbers which as.. second question I think Numpy.correlate is giving you the autocorrelation it is just giving you a little more as well. The autocorrelation.. it is just giving you a little more as well. The autocorrelation is used to find how similar a signal or function is to itself..