On Tue, Mar 12, 2013 at 8:20 AM, soumen ganguly <soumendotgang...@gmail.com>wrote:
> Hello, > > There are some doubts that i have regarding the argmax() method of > numpy.As described in reference doc's of numpy,argmax(axis=None,out=None) > returns the indices of the maximum value along the given axis(In this case > 0 is default). > > So, i tried to implement the method to a 2d array with elements > say,[[1,2,3],[4,5,6]] along the axis 1.The output to this code is [2,2] and > when i implement it along the axis 0,it outputs [1,1,1].I dont see the > connection to this output with the scope of argmax method. > > I would appreciate a detailed insight to the argmax method. > > I am not sure I understand the question. For axis 0 (the "outer" dimension in the way it is printed) the things being compared are argmax([1, 4]), argmax(([2, 5]), and argmax([3, 6]).. Amongst those, the second (index 1) is higher in each case, so it returns [1, 1, 1]. With axis 1 (the "inner" dimension in the way it is printed) , the things being compared are argmax([1, 2, 3]) and argmax([4, 5, 6]). In both case the third (index 2) is the highest, so it returns [2, 2]. What is unexpected about this?
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