In a numerical sequence (e.g. one-dimensional array) I want to find different patterns of numbers and count each finding separately. However, the numbers can occur repeatedly but only the basic pattern is important.
# Example signal (1d array)
a = np.array([1,1,2,2,2,2,1,1,1,2,1,1,2,3,3,3,3,3,2,2,1,1,1])
# Search for the following patterns: [1,2,1], [1,2,3], [3,2,1] etc. ...
# Count the number of pattern occurrences
# [1,2,1] = 2 (occurs 2 times)
# [1,2,3] = 1
# [3,2,1] = 1
I tried to solve the problem using np.where() without success. Thank you in advance for any suggestions!
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