Traceback (most recent call last): File "D:\Python310\Finance_Projects\venv\lib\site-packages\pandas\core\indexes\base.py", line 3653, in get_loc return self._engine.get_loc(casted_key) File "pandas\_libs\index.pyx", line 147, in pandas._libs.index.IndexEngine.get_loc File "pandas\_libs\index.pyx", line 176, in pandas._libs.index.IndexEngine.get_loc File "pandas\_libs\hashtable_class_helper.pxi", line 7080, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas\_libs\hashtable_class_helper.pxi", line 7088, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 'date' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "D:\Python310\Finance_Projects\get_stocks.py", line 37, in <module> df['date'] = df['date'].apply(lambda x:datetime.strptime(x,'%Y-%m-%d')) File "D:\Python310\Finance_Projects\venv\lib\site-packages\pandas\core\frame.py", line 3761, in __getitem__ indexer = self.columns.get_loc(key) File "D:\Python310\Finance_Projects\venv\lib\site-packages\pandas\core\indexes\base.py", line 3655, in get_loc raise KeyError(key) from err KeyError: 'date'
时间: 2023-08-11 20:05:35 浏览: 143
根据您提供的错误信息,可能出现了以下问题:
1. 错误信息 `KeyError: 'date'` 表示在DataFrame中找不到名为'date'的列。请确保您的DataFrame中包含名为'date'的列,并且列名没有拼写错误。
2. 请检查您获取股票数据的代码是否正确。确认使用了正确的函数和参数来获取股票数据,并且数据成功被存储在了DataFrame中。
3. 如果您没有对获取的数据进行重命名或修改列名,那么'date'列应该存在。如果您对列名进行了修改或重命名操作,请确保在代码中使用正确的列名进行操作。
请检查以上问题,并确保代码中正确处理了日期列的命名和操作。如果问题仍然存在,请提供更多详细的代码和错误信息,以便更好地帮助您解决问题。
相关问题
Traceback (most recent call last): File "D:\Python310\Finance_Projects\get_stocks.py", line 3, in <module> df.set_index('data',inplace =True) File "D:\Python310\Finance_Projects\venv\lib\site-packages\pandas\core\frame.py", line 5859, in set_index raise KeyError(f"None of {missing} are in the columns") KeyError: "None of ['data'] are in the columns"
这个错误是由于在DataFrame中没有名为'data'的列而导致的。请确保在调用`set_index`函数之前,确保DataFrame中有一个名为'data'的列。你可以使用`df.columns`来查看DataFrame中的所有列名。如果确实存在一个名为'data'的列,可能是因为列名拼写错误或者有额外的空格导致无法匹配。
Traceback (most recent call last): File "D:\文档\pythonProject\venv\40-44.py", line 47, in <module> RET_ = pd.merge(RET,R2,on='Yearmon',how='left') File "D:\文档\pythonProject\venv\lib\site-packages\pandas\core\reshape\merge.py", line 158, in merge return op.get_result(copy=copy) File "D:\文档\pythonProject\venv\lib\site-packages\pandas\core\reshape\merge.py", line 805, in get_result join_index, left_indexer, right_indexer = self._get_join_info() File "D:\文档\pythonProject\venv\lib\site-packages\pandas\core\reshape\merge.py", line 1053, in _get_join_info (left_indexer, right_indexer) = self._get_join_indexers() File "D:\文档\pythonProject\venv\lib\site-packages\pandas\core\reshape\merge.py", line 1026, in _get_join_indexers return get_join_indexers( File "D:\文档\pythonProject\venv\lib\site-packages\pandas\core\reshape\merge.py", line 1647, in get_join_indexers zipped = zip(*mapped) File "D:\文档\pythonProject\venv\lib\site-packages\pandas\core\reshape\merge.py", line 1644, in <genexpr> _factorize_keys(left_keys[n], right_keys[n], sort=sort, how=how) File "D:\文档\pythonProject\venv\lib\site-packages\pandas\core\reshape\merge.py", line 2388, in _factorize_keys klass, lk, rk = _convert_arrays_and_get_rizer_klass(lk, rk) File "D:\文档\pythonProject\venv\lib\site-packages\pandas\core\reshape\merge.py", line 2467, in _convert_arrays_and_get_rizer_klass klass = _factorizers[lk.dtype.type] KeyError: <class 'numpy.intc'>
这个错误是由于在使用`pd.merge()`函数合并数据时,出现了`KeyError`。根据错误信息,发现无法找到与`<class 'numpy.intc'>`类型对应的因子化器(factorizer)。这可能是因为在数据合并过程中,左侧(`RET`)或右侧(`R2`)的列中包含了不支持的数据类型。
你可以尝试检查一下`RET`和`R2`的数据类型,确保要合并的列具有相同的数据类型。如果有不同的数据类型,可以尝试将其转换为相同的数据类型,例如使用`.astype()`方法将整数类型转换为浮点数类型。
另外,你还可以检查一下是否需要更新你使用的pandas库,确保使用的是最新版本,以免遇到已知的问题或错误。
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