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python Programming Glossary: correlateFinding matching submatrices inside a matrix http://stackoverflow.com/questions/11078122/finding-matching-submatrices-inside-a-matrix to perform this in numpy scipy I looked briefly at Scipy's correlate function. I am not interested in 'fuzzy matches' only exact.. python numpy share improve this question You can use correlate. You'll need to set your black values to 1 and your white values.. contain max_peak where the overlap is perfect c signal.correlate a b 'valid' overlaps numpy.where c max_peak print overlaps This..
http://stackoverflow.com/questions/1199972/cython-and-numpy-speed both signals multiply and inverse FFT the product. numpy.correlate doesn't use the FFT method in the cross correlation routine... times 1. ydata .5 sin 2 pi 1.1 times def xcorr x y return correlate x y mode 'same' def fftxcorr x y fx fy fft.fft x fft.fft y 1..
Is there any numpy autocorrellation function with standardized output? http://stackoverflow.com/questions/12269834/is-there-any-numpy-autocorrellation-function-with-standardized-output function in another post def autocorr x result np.correlate x x mode 'full' maxcorr np.argmax result #print 'maximum ' result.. # functions to be defined ... # # def autocorr x result np.correlate x x mode 'full' maxcorr np.argmax result # print 'maximum '.. pylab as expected In 1 n 1000 In 2 x randn n In 3 xc correlate x x mode 'full' In 4 xc xc xc.argmax In 5 xchalf xc xc.size..
“Inner exception” (with traceback) in Python? http://stackoverflow.com/questions/1350671/inner-exception-with-traceback-in-python to see both exception messages and both stack traces and correlate the two. That is I want to see in the output that exception..
How to correlate two time series with gaps and different time bases? http://stackoverflow.com/questions/5130808/how-to-correlate-two-time-series-with-gaps-and-different-time-bases to correlate two time series with gaps and different time bases I have two.. right and Ay maps to Bz front back . My initial goal is to correlate shock events on the vertical axis though I would eventually.. like to a automatically discover the axis mapping b correlate activity on the mapped aces and c extract behavior differences..
Scrapy - parse a page to extract items - then follow and store item url contents http://stackoverflow.com/questions/5825880/scrapy-parse-a-page-to-extract-items-then-follow-and-store-item-url-contents with callbacks called at different times but I have to correlate them in the same item processing. My code so far looks like..
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 the set with itself. I've tried it using numpy's correlate function but I don't believe the result as it almost always.. question is really two questions What exactly is numpy.correlate doing How can I use it or something else to do auto correlation..
How to get the correlation between two timeseries using Pandas http://stackoverflow.com/questions/6467832/how-to-get-the-correlation-between-two-timeseries-using-pandas For something a little more advanced suppose you wanted to correlate the mean value for each minute where you have multiple observations..
Computing cross-correlation function? http://stackoverflow.com/questions/6991471/computing-cross-correlation-function numpy scipy share improve this question To cross correlate 1d arrays use numpy.correlate . For 2d arrays use scipy.signal.correlate2d.. this question To cross correlate 1d arrays use numpy.correlate . For 2d arrays use scipy.signal.correlate2d . There is also.. use numpy.correlate . For 2d arrays use scipy.signal.correlate2d . There is also scipy.stsci.convolve.correlate2d . There is..
General approach to developing an image classification algorithm for Dilbert cartoons http://stackoverflow.com/questions/8108550/general-approach-to-developing-an-image-classification-algorithm-for-dilbert-car and one of many possible machine learning algorithms to correlate the presence absence of certain features with a particular character..
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