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scipy.sparse.csr

Compressed Sparse Row matrix format

Functions

csr_count_blocks(*args)	csr_count_blocks(int n_row, int n_col, int R, int C, int Ap, int Aj) -> int
csr_sample_values(n_row, n_col, Ap, Aj, Ax, ...)
csr_tobsr(n_row, n_col, R, C, Ap, Aj, Ax, ...)
csr_tocsc(n_row, n_col, Ap, Aj, Ax, Bp, Bi, ...)
get_csr_submatrix(n_row, n_col, Ap, Aj, Ax, ...)
isintlike(x)	Is x appropriate as an index into a sparse matrix? Returns True
isspmatrix_csr(x)
upcast(*args)	Returns the nearest supported sparse dtype for the combination of one or more types.
warn(message[, category, stacklevel])	Issue a warning, or maybe ignore it or raise an exception.

Classes

csr_matrix(arg1[, shape, dtype, copy])

Compressed Sparse Row matrix