python用pandas读取orcale数据库到excel，报错，求解~~~~

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
' a test module '
__author__ = 'Wu Zongshuai'
import pandas as pd
from sqlalchemy import create_engine
import os

os.environ['NLS_LANG'] = 'SIMPLIFIED CHINESE_CHINA.UTF8'
engine = create_engine("oracle://zzwyjjl:[email protected]/OSS")
writer = pd.ExcelWriter(r'D:\邻区.xlsx')
sql = """
SELECT
           BTS.CO_OBJECT_INSTANCE|| '-'||LNADJ.LNADJ_ADJ_ENB_ID                            正向邻区对
          ,LNADJ.LNADJ_ADJ_ENB_ID|| '-'||BTS.CO_OBJECT_INSTANCE                            反向邻区对
          ,BTS.CO_OBJECT_INSTANCE                                                          "源enb_id"
          ,ADJ.CO_OBJECT_INSTANCE                                                          "正向编号LNADJ_ID"
          ,decode(LNADJ.LNADJ_CPIAC_7,0,'oamControlled ',1,'enbControlled')                "cPlaneIpAddrCtrl"                    
          ,LNADJ.LNADJ_C_PLANE_IP_ADDR                                                     "cPlaneIpAddr"
          ,LNADJ.LNADJ_ADJ_ENB_ID                                                          "邻adjEnbId"     
          ,decode(LNADJ.LNADJ_RBRRPE_8,0,'false ',1,'true')                                "rlfBasedRCRsupported"
          ,decode(LNADJ.LNADJ_X_2_LINK_STAT,0,'unavailable ',1,'available')                "x2LinkStatus"
          ,decode(s.EXENBF_MACRO_ENB_ID,null,'内部','外部')                                "adj_type"


FROM
          C_LTE_LNADJ           LNADJ
         ,CTP_COMMON_OBJECTS    ADJ
         ,CTP_COMMON_OBJECTS    BTS
         ,(select c_vex_exenbf.EXENBF_MACRO_ENB_ID  from c_vex_exenbf   where  c_vex_exenbf.conf_id='1') s
WHERE
             LNADJ.OBJ_GID=ADJ.CO_GID
         AND ADJ.CO_PARENT_GID=BTS.CO_GID
         and lnadj_adj_enb_id =s.EXENBF_MACRO_ENB_ID(+)
         AND LNADJ.CONF_ID=1
         AND ADJ.CO_STATE='0'   
         --and BTS.CO_OBJECT_INSTANCE in ('740798')
         --and LNADJ.LNADJ_ADJ_ENB_ID in ('46999')
order by
        BTS.CO_OBJECT_INSTANCE  asc
        ,LNADJ.LNADJ_ADJ_ENB_ID  asc       
"""
df = pd.read_sql(sql, engine)
print(df)
df.to_excel(writer, sheet_name='omc5', index=False)
writer.save()

以下是错误信息：

Traceback (most recent call last):
  File "D:/pypypy/练习/临时练习.py", line 45, in <module>
    df.to_excel(writer, sheet_name='omc5', index=False)
  File "C:\Users\wuzongshuai\AppData\Roaming\Python\Python37\site-packages\pandas\core\generic.py", line 2127, in to_excel
    engine=engine)
  File "C:\Users\wuzongshuai\AppData\Roaming\Python\Python37\site-packages\pandas\io\formats\excel.py", line 662, in write
    freeze_panes=freeze_panes)
  File "C:\Users\wuzongshuai\AppData\Roaming\Python\Python37\site-packages\pandas\io\excel.py", line 1605, in write_cells
    xcell.value, fmt = self._value_with_fmt(cell.val)
  File "C:\Users\wuzongshuai\AppData\Roaming\Python\Python37\site-packages\openpyxl\cell\cell.py", line 252, in value
    self._bind_value(value)
  File "C:\Users\wuzongshuai\AppData\Roaming\Python\Python37\site-packages\openpyxl\cell\cell.py", line 218, in _bind_value
    raise ValueError("Cannot convert {0!r} to Excel".format(value))
ValueError: Cannot convert '\u6b63\u5411\u90bb\u533a\u5bf9' to Excel