Here is the exact MATLAB equivalent that returns both the output arguments that match MATLAB except in Python 0 is also a valid index.
If you'd like different behavior, change the second argument in the Bind.get(item,None) expression to the value you want returned. None will raise an exception if it's used as an index into the array. Returning -1 is an option, but Python will interpret that to be the last element in the array. The above routine returns None for no index instead of 0. Python/numpy start arrays at 0, so if you're data set looks like this A = Īnd you return 0 for no element, then your results will exclude all elements of A. Matlab uses 0 because all of its arrays start at index 1. If this is still too slow, then worry about making the above function run on multiple cores.Įdit: I've also modified your indexing slightly. By using a dict, you effectively make the lookup of each element in B constant for each element of A, making the operation O(len(A)+len(B)).
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The above code requires one full scan of B to generate the dict Bset. Your original implementation requires a full scan of the elements in B for each element in A, making it O(len(A)*len(B)). Return # None can be replaced by any other "not in b" value django+uwsgi logging with TimedRotatingFileHandler "overwrites rotated log file"īefore worrying about multiple cores, I would eliminate the linear scan in your ismember function by using a dictionary: def ismember(a, b):.Django - app to build reports using data retrieved from a REST-like API.django makemigrations with python-social-auth leads to permission denied error.
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