On Thu, Jun 20, 2019 at 08:39:35PM -0300, Markos wrote: > Hi, > > I'm studying Numpy and I don't understand the difference between > > >>>vector_1 = np.array( [ 1,0,1 ] ) > > with 1 bracket and > > >>>vector_2 = np.array( [ [ 1,0,1 ] ] ) > > with 2 brackets
I'm not really sure what you don't get here. The first is a one dimensional vector with three items, the second is a two dimensional array with one row and three columns. But you know that, because you checked the shape of each one: > >>>vector_1.shape > (3,) > >>>vector_2.shape > (1, 3) If you want a 2D shape, you need to provide a 2D argument. If you want a 3D shape, you need a 3D argument. And so forth. > I thought that both vectors would be treated as an matrix of 1 row and 3 > columns. Why 1x3 rather than 3x1? > Why this difference? Because that's how numpy arrays are designed to work. I'm not sure what sort of answer you expect. -- Steven _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
