代码语言:javascript 代码运行次数:0 deftranspose1(matrix):cols=len(matrix[0])return[[row[i]forrowinmatrix]foriinrange(0,cols)]deftranspose2(matrix):transposed=[]foriinrange(len(matrix[0])):transposed.append([row[i]forro
The transpose of a matrix is the matrix flipped over it's main diagonal, switching the row and column indices of the matrix. Example 1: Input:[[1,2,3],[4,5,6],[7,8,9]] Output:[[1,4,7],[2,5,8],[3,6,9]] Example 2: Input:[[1,2,3],[4,5,6]] Output:[[1,4],[...
矩阵转置题目:编写一个函数,将一个二维矩阵转置。解答:```pythondef transpose(matrix):return [list(i) for i in zi
fromtxt', 'mask_indices', 'mat', 'math', 'matmul', 'matrix', 'matrixlib', 'max', 'maximum', 'maximum_sctype', 'may_share_memory', 'mean', 'median', 'memmap', 'meshgrid', 'mgrid', 'min', 'min_scalar_type', 'minimum', 'mintypecode', 'mirr', 'mod', 'modf', 'moveaxis...
import pickle try: vs = vars() for v in vs.keys(): print(v, len(pickle.dumps(vs[v]))) except Exception e: pass 25. 不用numpy实现矩阵求逆 def transposeMatrix(m): return list(map(list,zip(*m))) def getMatrixMinor(m,i,j): return [row[:j] + row[j+1:] for row in (m[...
Matrix Transpose using Nested Loop # Program to transpose a matrix using a nested loop X = [[12,7], [4 ,5], [3 ,8]] result = [[0,0,0], [0,0,0]] # iterate through rows for i in range(len(X)): # iterate through columns for j in range(len(X[0])): result[j][i] ...
System.out.println(transposematrix); transposematrix.clear(); } sc.close(); } }/* Code Running Result 请输入矩阵行列 2 3 1 2 3 4 5 6 原矩阵 [1, 2, 3] [4, 5, 6] 转置矩阵 [1, 4] [2, 5] [3, 6] */ 接下来就要提现 Python 的强大了 ...
data = [[ col for col in range(4)] for row in range(4)] print(data) print("---") transpose_data = matrix_transposition(data) print(transpose_data) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15.
def transpose(self,matrix:List[List[int]])->List[List[int]]: row=len(matrix) col=len(matrix[0]) ans=[[0]*row for _ in range(col)] for i in range(row): for j in range(col): ans[j][i]=matrix[i][j] return ans 1. ...
array([ax,ay,az]) def cal_K_matrix(self): self.K_matrix = np.dot( np.dot(self.P_matrix,np.transpose(self.H_matrix)), np.linalg.inv( np.dot( np.dot( self.H_matrix,self.P_matrix ),np.transpose(self.H_matrix) ) + self.R_matrix ) ) def posterior(self): # 原来是self.q_...