hello while trying to write a function that processes some numpy arrays and calculate euclidean distance ,i ended up with this code
#some samplevalues totalimgs=17 selectedfacespaces=6 imgpixels=18750 (ie for an image of 125X150 ) ... # i am using these arrays to do the calculation facespace #numpy.ndarray of shape(totalimgs,imgpixels) weights #numpy.ndarray of shape(totalimgs,selectedfacespaces) input_wk #numpy.ndarray of shape(selectedfacespaces,) distance #numpy.ndarray of shape(selectedfacespaces,) initally all 0.0 's mindistance #numpy.ndarray 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: 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 would be nice thanks D _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion