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.
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