我尝试将实木复合地板源文件转换为csv，然后将输出csv再次转换为实木复合地板。在比较原始实木复合地板和生成的实木复合地板时，根据模式的值类型不匹配。与原始来源完全相同的架构？
这是代码：
import pyarrow.parquet as pq
import numpy as np
import pandas as pd
import pyarrow as pa
schema_full=pq.read_schema(source_path+'\\'+onlyfiles[0])
full_df = pd.concat(pd.read_parquet(source_path+'\\'+parquet_file) for
parquet_file in onlyfiles)
full_df.to_csv(target_path+'\\'+target_filename+'.csv', index=False)
Target_df = pd.read_csv(target_path+'\\'+target_filename+'.csv',index=False)
target_table=pa.Table.from_pandas(Target_df)
pa.Table.cast(target_table,schema_full)
print(target_table)
以下是我得到的错误：
Traceback (most recent call last):
File "C:\Users\*****\Documents\Python Scripts\parq_ascii_pyarrow.py", line 31, in <module>
pa.Table.cast(target_table,schema_full)
File "pyarrow\table.pxi", line 1390, in itercolumns
File "pyarrow\table.pxi", line 410, in pyarrow.lib.Column.cast
File "pyarrow\error.pxi", line 89, in pyarrow.lib.check_status
pyarrow.lib.ArrowNotImplementedError: No cast implemented from double to decimal(8, 2)