Beginner NumPy (Fri)

Array Transpose and Axisymmetric

Transpose (transpose) is a special form of remodeling that returns a view of the source data and does not do any copy operations, and the array has not only the Transpose method, but also a special T attribute.

(1) Transpose

(2) T

(3) Swapaxes

1 Import NumPy as NP 2  from Import Pprint 3 arr =  np.arange (All). Reshape ((3,5))4pprint (arr)5  Pprint (arr. T)6pprint (Arr.transpose ())7 pprint (arr.swapaxes (0,1))

Operation Result:

1Array ([[[0, 1, 2, 3, 4],2[5, 6, 7, 8, 9],3[10, 11, 12, 13, 14]])4Array ([[[0, 5, 10],5[1, 6, 11],6[2, 7, 12],7[3, 8, 13],8[4, 9, 14]])9Array ([[[0, 5, 10],Ten[1, 6, 11], One[2, 7, 12], A[3, 8, 13], -[4, 9, 14]]) -Array ([[[0, 5, 10], the[1, 6, 11], -[2, 7, 12], -[3, 8, 13], -[4, 9, 14]])

Beginner NumPy (Fri)