Michael Hoffman wrote: > I am trying to do a type of run-length encoding of a 2D array by axis. I > have an array of values arranged along two axes, state and position. > These are many (180, 30000) uint8 arrays. > > I would like to have a list of tuples like > > (state, start_pos, end_pos, values) > > only separating out a set of values into a new tuple if they are all the > same value in a run of at least 10 cells. > > Is there a clever way to do this in NumPy? I was thinking of using > itertools.groupby() but it would be nicer to have something faster.
I just realized I could convert this to a string and use something like re.compile(r"(.)\1{9,}").finditer() but I'm still wondering if there's something more NumPythonic. _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion