On Jan 23, 1:09 am, Steve Howell <showel...@yahoo.com> wrote: [snip problem with angle data wrapping around at 360 degrees]
Hi, This problem is trivial to solve if you can assume that you that your data points are measured consecutively and that your boat does not turn by more than 180 degrees between two samples, which seems a reasonable use case. If you cannot make this assumption, the answer seems pretty arbitrary to me anyhow. The standard trick in this situation is to 'unwrap' the data (fix > 180 deg jumps by adding or subtracting 360 to subsequent points), do your thing and then 'rewrap' to your desired interval ([0-355] or [-180,179] degrees). In [1]: from numpy import * In [2]: def median_degree(degrees): ...: return mod(rad2deg(median(unwrap(deg2rad(degrees)))),360) ...: In [3]: print(median_degree([1, 2, 3, 4, 5, 6, 359])) 3.0 In [4]: print(median_degree([-179, 174, 175, 176, 177, 178, 179])) 177.0 If the deg2rad and rad2deg bothers you, you should write your own unwrap function that handles data in degrees. Hope this helps, Bas P.S. Slightly off-topic rant against both numpy and matlab implementation of unwrap: They always assume data is in radians. There is some option to specify the maximum jump size in radians, but to me it would be more useful to specify the interval of a complete cycle, so that you can do unwrapped_radians = unwrap(radians) unwrapped_degrees = unwrap(degrees, 360) unwrapped_32bit_counter = unwrap(overflowing_counter, 2**32) -- http://mail.python.org/mailman/listinfo/python-list