I face an error after renaming a pandas dataframe column:
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'])
This code leads to folowing output:
> 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'>}
It seems that the renaming changes the type of my datafframe object ...
loc attribute is the primary access method. The following are valid inputs: A single label, e.g. 5 or 'a', (note that 5 is interpreted as a label of the index. This use is not an integer position along the index)
The axis labeling information in pandas objects serves many purposes: Identifies data (i.e. provides metadata) using known indicators, important for analysis, visualization, and interactive console display. Enables automatic and explicit data alignment. Allows intuitive getting and setting of subsets of the data set.
You may type an index label with your search terms rather than a selection from the list of indexes to search on any search screen. The information you type overrides all default menu selections. Use a colon after an index label (as in au:wang) when you are not certain of your search terms.
Running df.rename(index=str, ...)
causes your dataframe indices to be typecast to string types, so they'd be strings. You can confirm this by printing them out.
In [19]: B.index
Out[19]: Index(['0', '1'], dtype='object')
Consequently, this works:
In [18]: print(B.loc['0', 'B_B'])
1
If you don't want this, just don't pass an index
attribute when renaming your B
column, like this:
B = B.rename(columns={'B':'B_B'})
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With