That's a very clever approach. I also found a way using the pandas library with the groupby function.
points_df = pandas.DataFrame.from_records(buffer) new_buffer = points_df.groupby(qcut(points_df.index, resolution**3)).mean() I did the original approach with all of those loops because I need a way to measure and report on progress, and although these advanced functions are great, they are still asynchronous and blocking and provides no means of indicating progress. Still cool though, thanks! -- View this message in context: http://numpy-discussion.10968.n7.nabble.com/Multidimension-array-access-in-C-via-Python-API-tp42710p42736.html Sent from the Numpy-discussion mailing list archive at Nabble.com. _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
