hello while trying to write a function that processes some numpy arrays and calculate euclidean distance ,i ended up with this code (though i used numpy ,i believe my problem has more to do with python coding style..so am posting it here)
... # i am using these numpy.ndarrays to do the calculation facespace # of shape(totalimgs,imgpixels) weights # of shape(totalimgs,selectedfacespaces) input_wk # of shape(selectedfacespaces,) distance # of shape(selectedfacespaces,) initally all 0.0 's mindistance #of shape(selectedfacespaces,) initally all 0.0 's ... ... #here is the calculations part for image in range(numimgs): distance = abs(input_wk - weights[image, :]) if image==0: #copy from distance to mindistance mindistance=distance.copy() if sum(mindistance) > sum(distance): imgindex=image mindistance=distance.copy() if max(mindistance) > 0.0: #normalise mindistance mindistance=mindistance/(max(mindistance)+1) dist=sum(mindistance) this gets me the euclidean distance value.I want to know if the way i coded it can be improved,made more compact....if someone can give suggestions it will be a great help . thanks D -- http://mail.python.org/mailman/listinfo/python-list