1. COO: 即coordinate matrix对角存储矩阵，使用三元组(row, col, data)。主要用于创建矩阵，且允许重复的索引，特别适合有限元素或有限差分离散化矩阵。但COO无法对矩阵的元素进行增删等操作。初始化形式为coo_matrix((data, (i, j)), [shape=(M, N)])，其中i,j为一维数组，data也是，且长度相...
class scipy.sparse.dok_matrix(arg1, shape=None, dtype=None, copy=False) This is an efficient structure for constructing sparse matrices incrementally. Allows for efficient O(1) access of individual elements. Duplicates are not allowed. Can be efficiently converted to a coo_matrix once constructed....
csc_matrix(arg1[, shape, dtype, copy]) Compressed Sparse Column matrix csr_matrix(arg1[, shape, dtype, copy]) Compressed Sparse Row matrix dia_matrix(arg1[, shape, dtype, copy]) Sparse matrix with DIAgonal storage dok_matrix(arg1[, shape, dtype, copy]) Dictionary Of Keys based sparse ma...
coo_matrix((data, (i, j)), [shape=(M, N)]) data,i,j分别是array,data[:]内存储非零数值,i[:]存储data内相同index数据的行数,j[:]存储data内相同index数据的列数,也就是A[i[k], j[k]] = data[k]。 >>># index_matrix ijv format>>>data=np.array([3,1,2,2,1])>>>row=np.ar...
dok_matrix: Dictionary of Keys format 6. coo_matrix: COOrdinate format (aka IJV, triplet format) 7. dia_matrix: DIAgonal format 8. spmatrix: Sparse matrix base clas ''' 矩阵属性 from scipy.sparse import csr_matrix ### 共有属性 mat.shape # 矩阵形状 mat.dtype # 数据类型 mat.ndim # ...
Compressed Sparse Row matrix class scipy.sparse.csr_matrix(arg1, shape=None, dtype=None, copy=False) Advantages of the CSR format •efficient arithmetic operations CSR + CSR, CSR * CSR, etc. •efficient row slicing •fast matrix vector products Disadvantages of the CSR format •slow colu...
coo_matrix(S):S代表其他类型稀疏矩阵 coo_matrix((M, N), [dtype]):构建一个shape为M*N的空矩阵,默认数据类型是d, coo_matrix((data, (i, j)), [shape=(M, N)])):三元组初始化 i[:]: 行索引 j[:]: 列索引 A[i[k], j[k]]=data[k] ...
:param A: binary scipy sparse matrix. :param percent: percent of the edges to flip. :return: binary scipy sparse matrix. """ifnotA.shape[0] == A.shape[1]:raiseValueError('A must be a square matrix.') dtype = A.dtype A = sp.lil_matrix(A).astype(np.bool) ...
coords :: set of Cartesian coordinates tol :: tolerance for dropping the values ram :: size of the allowed block (in bytes) Returns co2v :: CSR matrix of shape (coordinate, atomic orbital) """frompyscf.nao.m_aos_libnaoimportaos_libnaofrompyscfimportlibfromscipy.sparseimportcsr_matrixifnot...
<class 'scipy.sparse.coo.coo_matrix'> >>> type(A.toarray()) <class 'numpy.ndarray'> SciPy的sparse模块中稀疏矩阵的属性大部分派生自NumPy的ndarray对象,同时也包括nnz(非零元素数目)和data(非零值)等属性。 A.shape, A.size, A.dtype, A.ndim ...