Python transpose np array
>>> a = np.array([[1, 2], [3, 4]])
>>> a
array([[1, 2],
[3, 4]])
>>> a.transpose() #or a.T
array([[1, 3],
[2, 4]])Python transpose np array
>>> a = np.array([[1, 2], [3, 4]])
>>> a
array([[1, 2],
[3, 4]])
>>> a.transpose() #or a.T
array([[1, 3],
[2, 4]])transpose matrices numpy
import numpy as np
A = [1, 2, 3, 4]
np.array(A).T # .T is used to transpose matrixtranspose matrix in python without numpy
def transpose(matrix):
rows = len(matrix)
columns = len(matrix[0])
matrix_T = []
for j in range(columns):
row = []
for i in range(rows):
row.append(matrix[i][j])
matrix_T.append(row)
return matrix_Ttranspose matrice numpy
>>> np.transpose(M)
array([[1, 4, 7],
[2, 5, 8],
[3, 6, 9]])transpose matrice numpy
>>> import numpy as np
>>> M = np.array([[1,2,3],[4,5,6],[7,8,9]])
>>> M
array([[1, 2, 3],
[4, 5, 6],
[7, 8, 9]])
>>> M.T
array([[1, 4, 7],
[2, 5, 8],
[3, 6, 9]])transpose of a matrix using numpy
M = np.matrix([[1,2],[3,4]])
M.transpose()Copyright © 2021 Codeinu
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