如何在DynamoDB上存储numpy.ndarray？

import numpy as np

arr = np.array([[1, 2, 3], [4, 5, 6]])
arr_str = np.array2string(arr)

import numpy as np
from tencentcloud.dynamodb.v20180416 import dynamodb_client, models

# 创建DynamoDB客户端
client = dynamodb_client.DynamoDBClient()

# 创建表
table_name = "numpy_array_table"
attribute_definitions = [
    models.AttributeDefinition("id", "N")
]
key_schema = [
    models.KeySchemaElement("id", "HASH")
]
provisioned_throughput = models.ProvisionedThroughput(5, 5)
client.create_table(table_name, attribute_definitions, key_schema, provisioned_throughput)

# 插入数据
arr = np.array([[1, 2, 3], [4, 5, 6]])
arr_str = np.array2string(arr)
item = {
    "id": models.AttributeValue().set_n("1"),
    "array_data": models.AttributeValue().set_s(arr_str)
}
client.put_item(table_name, item)

# 查询数据
response = client.get_item(table_name, {"id": models.AttributeValue().set_n("1")})
array_data = response.item["array_data"].s
arr = np.fromstring(array_data.strip("[]"), sep=" ")
arr = arr.reshape((2, 3))
print(arr)