类型错误

Question

我面对错误重命名大熊猫数据框柱之后：

B=pd.DataFrame(data=[[1,1,1],[2,2,2]],columns={'A','B','C'}) 
print(B.loc[0,'B']) 
B = B.rename(index=str,columns={'B':'B_B'}) 
print(B.loc[0,'B_B']) 

此代码将导致如下因素输出：

> 1 

>Traceback (most recent call last): 
    File "C:\Users\FreieL01\AppData\Local\Continuum\Anaconda3\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code 
    exec(code_obj, self.user_global_ns, self.user_ns) 
    File "<ipython-input-29-6df9197203b9>", line 4, in <module> 
    print(B.loc[0,'B_B']) 
    File "C:\Users\FreieL01\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\core\indexing.py", line 1310, in __getitem__ 
    return self._getitem_tuple(key) 
    File "C:\Users\FreieL01\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\core\indexing.py", line 796, in _getitem_tuple 
    return self._getitem_lowerdim(tup) 
    File "C:\Users\FreieL01\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\core\indexing.py", line 922, in _getitem_lowerdim 
    section = self._getitem_axis(key, axis=i) 
    File "C:\Users\FreieL01\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\core\indexing.py", line 1482, in _getitem_axis 
    self._has_valid_type(key, axis) 
    File "C:\Users\FreieL01\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\core\indexing.py", line 1409, in _has_valid_type 
    key = self._convert_scalar_indexer(key, axis) 
    File "C:\Users\FreieL01\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\core\indexing.py", line 196, in _convert_scalar_indexer 
    return ax._convert_scalar_indexer(key, kind=self.name) 
    File "C:\Users\FreieL01\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\indexes\base.py", line 1171, in _convert_scalar_indexer 
    return self._invalid_indexer('label', key) 
    File "C:\Users\FreieL01\AppData\Local\Continuum\Anaconda3\lib\site-packages\pandas\indexes\base.py", line 1284, in _invalid_indexer 
    kind=type(key))) 
TypeError: cannot do label indexing on <class 'pandas.indexes.base.Index'> with these indexers [0] of <class 'int'>} 

看来，重命名更改我的数据帧对象的类型...

Answer 1

运行df.rename(index=str, ...)会导致您的数据帧索引被类型化为字符串类型，因此它们将是字符串。你可以通过打印出来确认。

In [19]: B.index 
Out[19]: Index(['0', '1'], dtype='object') 

因此，这个工程：

In [18]: print(B.loc['0', 'B_B']) 
1 

如果你不想这样，只是不重命名你的B列时传递一个index属性，像这样：

B = B.rename(columns={'B':'B_B'})