Usage of MAD

Return to directory of Todd's CASA extensions

Compute the median absolute deviation of a list or array with the following formula: numpy.median(numpy.abs(a - numpy.median(a))) / c. See also MADoutliers. If you simply want the standard deviation, you can use numpy.std.


au.MAD(a, c=0.6745, axis=0)
  • a: list or array of values
  • c: normalization factor. c = 0.6745 is the constant to convert from MAD to standard deviation (it is used by default)
  • axis: the axis of the array to use


CASA <7>: au.MAD([1,4,3,5,6,2,3,100])
  Out[7]: 2.2238695329873983

-- ToddHunter - 2013-09-09

This topic: ALMA > TWikiUsers > ToddHunter > CasaExtensions > MAD
Topic revision: 2014-09-07, ToddHunter
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