index with a boolean array? >>> import numpy as np >>> a = np.array([3, 3, 3, 4, 4, 4]) >>> a array([3, 3, 3, 4, 4, 4]) >>> np.average(a) 3.5 >>> b = a != 3 >>> b array([False, False, False, True, True, True], dtype=bool) >>> np.average(a[b]) 4.0 >>>
On Tue, Jul 14, 2009 at 3:33 PM, Greg Fiske<gfi...@whrc.org> wrote: > 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]) > > > > Thanks for any advice, > > > > Greg > > > > > > Greg Fiske > > Research Associate/GIS Manager > > The Woods Hole Research Center > > 149 Woods Hole Road > > Falmouth MA, 02540 > > 508-540-9900x139 > > gfi...@whrc.org > > http://whrc.org > > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > > _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
