Iterate over rows, and perform addition
For the addition part, just write something like a[0]+[1,2,3] (where a is your array), numpy will perform addition element-wise as expected.
For appending a=np.append(a, [line], axis=1) is what you're looking for, where line is the new line you want to add, for example the result of the previous sum.
The iteration can be easily repeated selecting the last three rows thanks to negative indexing: if you use a[-1], a[-2] and a[-3] you'll be sure to pick the last three lines
So, here I have a numpy array, array([[-1.228,  0.709,  0.   ], [ 0.   ,  2.836,  0.   ], [ 1.228,  0.709,  0.   ]]). What my plan is to perform addition to all the rows of this array with a vector (say [1,2,3]), and then append the result onto the end of it i.e the addition of another three rows? I want to perform the same process, like 5 times, so that the vector is added only to the last three rows, which were the result of the previous calculation(addition). Any suggestions?