class scipy.sparse.csr_matrix(arg1, shape=None, dtype=None, copy=False)[source]Compressed Sparse Row...(S)with another sparse matrix S (equivalent to S.tocsr())csr_matrix((M, N), [dtype])to construct an empty...((data, indices, indptr), [shape=(M, N)])is the standard CSR representation where the column indices...format efficient arithmetic operations CSR + CSR, CSR * CSR, etc....format data array of the matrix indices CSR format index array of the matrix indptr CSR format