Why does numpy Dot product of 2d array with 1d array produce 1d array?

Question

I try to run the code like below:

>>> import numpy as np
>>> A = np.array([[1,2], [3,4], [5,6]])
>>> A.shape
(3, 2)
>>> B         


        

Answer 1

I just learned this dot product from Neural Network... Anyway, it is the dot product between "1d" array and "nd" array. enter image description here

As we can see, it calculates the sum of the multiplication for elements separately in the red box as "17 + 28" Then enter image description here

Then enter image description here