如何找到两个pyarrow数据集模式的不同之处？

import pyarrow as pa
import pandas as pd

dataset1 = pa.dataset.dataset("path_to_dataset1")
dataset2 = pa.dataset.dataset("path_to_dataset2")

schema1 = dataset1.schema
schema2 = dataset2.schema

num_fields1 = len(schema1)
num_fields2 = len(schema2)

field_names1 = [field.name for field in schema1]
field_names2 = [field.name for field in schema2]

field_types1 = [field.type for field in schema1]
field_types2 = [field.type for field in schema2]

fields_match = schema1.equals(schema2)

fields_order_match = field_names1 == field_names2

types_match = field_types1 == field_types2

print("字段数量不同：" + str(num_fields1 != num_fields2))
print("字段名称不同：" + str(field_names1 != field_names2))
print("字段类型不同：" + str(field_types1 != field_types2))
print("字段完全一致：" + str(fields_match))
print("字段顺序一致：" + str(fields_order_match))
print("字段类型一致：" + str(types_match))