2009/7/14 Greg Fiske <gfi...@whrc.org>: > Dear list, > > I’m learning to work with numpy arrays. Can somebody explain how to get the > average of two separate arrays while ignoring a user defined value in one > array? > > For example: > >>>>a = numpy.array([1,5,4,99]) >>>>b = numpy.array([3,7,2,8]) > > Ignoring the value 99, the result should be an array like c= ([2,6,3,8])
Using scipy as well, you could use nans and the nanmean function: import scipy.stats both = np.vstack((a, b)).astype(float) both[both == 99] = np.nan scipy.stats.nanmean(both, axis=0) -> array([ 2., 6., 3., 8.]) -- AJC McMorland Post-doctoral research fellow Neurobiology, University of Pittsburgh _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
