python中的dataframe 剔除部分数据后，索引消失，重新建立索引

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今天在处理一个数据的过程中出现问题，python中的dataframe 剔除部分数据后，索引消失，遍历就出错，
报错形式如下

Traceback (most recent call last):
  File "D:/pycreate/tianchi_糖尿病/data_pre/split_data.py", line 53, in <module>
    handler_data()
  File "D:/pycreate/tianchi_糖尿病/data_pre/split_data.py", line 32, in handler_data
    print(indexdf["S"][i])
  File "D:\ANACONDA\ana3.5.2\lib\site-packages\pandas\core\series.py", line 766, in __getitem__
    result = self.index.get_value(self, key)
  File "D:\ANACONDA\ana3.5.2\lib\site-packages\pandas\core\indexes\base.py", line 3103, in get_value
    tz=getattr(series.dtype, 'tz', None))
  File "pandas\_libs\index.pyx", line 106, in pandas._libs.index.IndexEngine.get_value
  File "pandas\_libs\index.pyx", line 114, in pandas._libs.index.IndexEngine.get_value
  File "pandas\_libs\index.pyx", line 162, in pandas._libs.index.IndexEngine.get_loc
  File "pandas\_libs\hashtable_class_helper.pxi", line 958, in pandas._libs.hashtable.Int64HashTable.get_item
  File "pandas\_libs\hashtable_class_helper.pxi", line 964, in pandas._libs.hashtable.Int64HashTable.get_item
KeyError: 31

后来找了以下是由于我对原始数据删除了部分异常数据导致的，。

#会导致原索引丢失，30-32
    indexdf=indexdf[indexdf["EE"]!=0]

解决方案

   #重新定义索引，才能支持遍历
    # indexdf = indexdf.reset_index(drop=True)

代码：

  indexdf=pd.read_table("0.ann",sep="\s+",names=["T","TC","S","E","name"])
  indexdf["EE"] = indexdf["E"].apply(lambda x: x if ";" not in x else 0)
  indexdf=indexdf[indexdf["EE"]!=0]
        #重新定义索引，才能支持遍历
 indexdf = indexdf.reset_index(drop=True)
 for i in range(len(indexdf)):
    
            print(indexdf["S"][i])