I can find quite a few permutations of this question, but not this (rather simple) one: how do I find the maximum value of a specific column of a numpy array (in the most pythonic way)?
a = array([[10, 2], [3, 4], [5, 6]])
What I want is the max value in the first column and second column (these are x,y coordinates and I eventually need the height and width of each shape), so max x coordinate is 10 and max y coordinate is 6.
I've tried:
xmax = numpy.amax(a,axis=0)
ymax = numpy.amax(a,axis=1)
but these yield
array([10, 6])
array([10, 4, 6])
...not what I expected.
My solution is to use slices:
xmax = numpy.max(a[:,0])
ymax = numpy.max(a[:,1])
Which works but doesn't seem to the best approach.
Suggestions?
