如何在PySpark中显示BlockMatrix乘法的结果？

from pyspark.context import SparkContext
from pyspark.sql import SparkSession
from pyspark.mllib.linalg.distributed import BlockMatrix, CoordinateMatrix, MatrixEntry

spark = SparkSession.builder.getOrCreate()

# 创建两个矩阵的坐标列表
entries1 = [MatrixEntry(0, 0, 1.0), MatrixEntry(1, 1, 2.0)]
entries2 = [MatrixEntry(0, 0, 3.0), MatrixEntry(1, 1, 4.0)]

# 将坐标列表转换为坐标矩阵
coord_matrix1 = CoordinateMatrix(spark.sparkContext.parallelize(entries1))
coord_matrix2 = CoordinateMatrix(spark.sparkContext.parallelize(entries2))

# 将坐标矩阵转换为块矩阵
block_matrix1 = coord_matrix1.toBlockMatrix()
block_matrix2 = coord_matrix2.toBlockMatrix()

result_matrix = block_matrix1.multiply(block_matrix2)

result_matrix.toLocalMatrix().toArray()