def construct_diagonal_matrix(n, value): matrix = [[0] * n for _ in range(n)] # 创建一个 n × n 的零矩阵 for i in range(n): for j in range(n): if i == j: matrix[i][j] = value # 主对角线上的元素设置为所需的值 return matrix 这个函数接受两个参数:n 表示矩阵的维度,...
extract diagonal elements (from a matrix) or construct a diagonal matrix (from a vector). np.diag(np.reshape([5,6,7], (3,1))) => [5] np.diag(np.reshape([5,6,7], (1,3))) => [5] np.diag([5,6,7]) => a diagonal matrix# same as np.diag(np.reshape([5,6,7], (3...
base 如果内存来自其他对象,则为基本对象。 ctypes 一个对象,用于简化数组与ctypes模块的交互。 data Python缓冲区对象指向数组的数据的开始。 dtype 数组元素的数据类型。 flags 关于数组的内存布局的信息。 flat 在数组上的一维迭代器。 imag 数组的虚部。 itemsize 一个数组元素的长度(以字节为单位)。 nbytes 数...
The numpy.diag() function creates a diagonal matrix or extracts the diagonal elements of a matrix. It can also construct a diagonal array from a one-dimensional array. Syntax: numpy.diag(v, k=0) Parameters: Return value: out : ndarray - The extracted diagonal or constructed diagonal array....
18. Create a 5x5 matrix with values 1,2,3,4 just below the diagonal >>Z = np.diag(1+np.arange(4),k=-1) print(Z) [[0 0 0 0 0] [1 0 0 0 0] [0 2 0 0 0] [0 0 3 0 0] [0 0 0 4 0]] 19. Create a 8x8 matrix and fill it with a checkerboard pattern ...
tolist()) # To construct a matrix with an arbitrary one-dimensional array on the diagonal, we # can use the np.diag function (which also takes the optional keyword argument k to # specify an offset from the diagonal) diag_data = np.diag([1, 2, 3]) print('diag_data:', diag_...
18. Create a 5x5 matrix with values 1,2,3,4 just below the diagonal (★☆☆) # 生成5*5的矩阵,在对角线下一个单位插入1,2,3,4 data = np.diag(1+np.arange(4),k=-1) print(data) [[0 0 0 0 0] [1 0 0 0 0] [0 2 0 0 0] [0 0 3 0 0] [0 0 0 4 0]] 19. Cr...
linalg.matrix_rank(M[, tol, hermitian])Use the SVD method to return the matrix rank of the array linalg.slogdet(a)Calculate the sign and (natural) logarithm of the array determinant. trace(a[, offset, axis1, axis2, dtype, out])Returns the sum along the diagonal of the array. ...
asmatrix() Interpret the input as a matrix. numpy.asmatrix(data[, dtype]) copy() Return an array copy of the given object. numpy.copy(a[, order] frombuffer() Interpret a buffer as a 1-dimensional array. numpy.frombuffer(buffer[, dtype, count, offset]) fromfile() Construct an array ...
18. Create a 5x5 matrix with values 1,2,3,4 just below the diagonal (★☆☆)Z = np.diag(1+np.arange(4),k=-1) print(Z)19. Create a 8x8 matrix and fill it with a checkerboard pattern (★☆☆)Z = np.zeros((8,8),dtype=int) Z[1::2,::2] = 1 Z[::2,1::2] = 1...