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Having a numpy array for example a=np.array([[1,1,2],[7,8,5],[1,1,3],[1,1,2]]) I am intersted to retrieve in a fast way the number of occurences of each row. [1,1,2] =>2 etc. I have done some implementation using lists, but on real data sets the computation time is very long. Is there a method to do it faster , potentially using only numpy as data structure?

Alexandru Daia
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    Also relevant : http://stackoverflow.com/questions/27000092/count-how-many-times-each-row-is-present-in-numpy-array – Divakar Oct 05 '16 at 06:22

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