Np.transpose Doesn't Return Transpose Of Matrix

When I write my code in the following manner : from numpy import * H = array([1,1]) Ht = transpose(H) Ht I get the same matrix as H instead of the transpose of H. But when I chang

Solution 1:

From the documentation:

numpy.matrix.transpose. Returns a view of the array with axes transposed. For a 1-D array, this has no effect. (To change between column and row vectors, first cast the 1-D array into a matrix object.)

Solution 2:

I think this is the behavior you're looking for:

>>> H = np.array([[1,1]])
>>> H.T
array([[1],
       [1]])

Equivalently you can write np.transpose(H). Notice this array has shape (1,2), so it has two dimensions. The array H = np.array([1,2]) has shape (2,). It only has one dimension. To swap the dimensions (transpose), you need at least two of them.