对列表切片操作报错
#合并训练集和测试集#train_dataset.drop(['Id','SalePrice'],axis=1)
full_dataset = pd.concat(,axis=1),test_dataset[:,1:]])
#train_dataset.shape,test_dataset.shape,full_dataset.shape
报错如下---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
File /opt/conda/lib/python3.10/site-packages/pandas/core/indexes/base.py:3805, in Index.get_loc(self, key)
3804 try:
-> 3805 return self._engine.get_loc(casted_key)
3806 except KeyError as err:
File index.pyx:167, in pandas._libs.index.IndexEngine.get_loc()
File index.pyx:173, in pandas._libs.index.IndexEngine.get_loc()
TypeError: '(slice(None, None, None), slice(1, None, None))' is an invalid key
During handling of the above exception, another exception occurred:
InvalidIndexError Traceback (most recent call last)
Cell In, line 3
1 #合并训练集和测试集
2 #train_dataset.drop(['Id','SalePrice'],axis=1)
----> 3 full_dataset = pd.concat(,axis=1),test_dataset[:,1:]])
4 #train_dataset.shape,test_dataset.shape,full_dataset.shape
File /opt/conda/lib/python3.10/site-packages/pandas/core/frame.py:4102, in DataFrame.__getitem__(self, key)
4100 if self.columns.nlevels > 1:
4101 return self._getitem_multilevel(key)
-> 4102 indexer = self.columns.get_loc(key)
4103 if is_integer(indexer):
4104 indexer =
File /opt/conda/lib/python3.10/site-packages/pandas/core/indexes/base.py:3817, in Index.get_loc(self, key)
3812 raise KeyError(key) from err
3813 except TypeError:
3814 # If we have a listlike key, _check_indexing_error will raise
3815 #InvalidIndexError. Otherwise we fall through and re-raise
3816 #the TypeError.
-> 3817 self._check_indexing_error(key)
3818 raise
File /opt/conda/lib/python3.10/site-packages/pandas/core/indexes/base.py:6059, in Index._check_indexing_error(self, key)
6055 def _check_indexing_error(self, key):
6056 if not is_scalar(key):
6057 # if key is not a scalar, directly raise an error (the code below
6058 # would convert to numpy arrays and raise later any way) - GH29926
-> 6059 raise InvalidIndexError(key)
InvalidIndexError: (slice(None, None, None), slice(1, None, None)) 在你的代码中，`train_dataset.drop(,axis=1)` 这一行缺少了要删除的列名或列索引，这导致了错误。`drop` 方法需要一个明确的列名或索引来删除相应的列。
你可以这样修改代码：
# 假设你想删除名为 'column_name' 的列
full_dataset = pd.concat()
如果你不想删除任何列，只是想合并数据集，可以直接使用：
full_dataset = pd.concat()
确保在 `drop` 方法中提供正确的列名或索引。如果你不确定列名，可以使用 `train_dataset.columns` 查看所有列名。
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