给定一个稀疏csr矩阵MS，我如何迭代MS的每一行？

import numpy as np
from scipy.sparse import csr_matrix

# 假设我们有一个CSR矩阵MS
data = np.array([1, 2, 3, 4])
indices = np.array([0, 2, 2, 0])
indptr = np.array([0, 2, 4])
MS = csr_matrix((data, indices, indptr), shape=(2, 3))

# 迭代CSR矩阵的每一行
for i in range(MS.shape[0]):
    start = MS.indptr[i]
    end = MS.indptr[i + 1]
    row_data = MS.data[start:end]
    row_indices = MS.indices[start:end]
    print(f"Row {i}:")
    for j in range(len(row_data)):
        print(f"  Column {row_indices[j]}: Value {row_data[j]}")

Row 0:
  Column 0: Value 1
  Column 2: Value 2
Row 1:
  Column 2: Value 3
  Column 0: Value 4