Traceback (most recent call last): File "D:\Python\lib\site-packages\pandas\core\indexes\base.py", line 3652, 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: 'GAFP' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "D:\python001\002.py", line 52, in <module> selected_column_csv = read_csv_file(file_path_csv, column_name_csv) File "D:\python001\002.py", line 27, in read_csv_file selected_column_csv = df[column_name_csv].tolist() File "D:\Python\lib\site-packages\pandas\core\frame.py", line 3761, in __getitem__ indexer = self.columns.get_loc(key) File "D:\Python\lib\site-packages\pandas\core\indexes\base.py", line 3654, in get_loc raise KeyError(key) from err KeyError: 'GAFP'

这是一个Python的KeyError异常，意味着你的代码中出现了一个字典或者关键字中不存在的键值。根据你提供的错误信息，是在使用pandas库中的DataFrame时出现了问题，你可能在试图读取一个名为'GAFP'的列，但是这个列名在你的数据集中不存在。你可以检查一下你的数据集中是否真的有这个列名，或者尝试使用其他的列名来读取数据。

相关问题

Traceback (most recent call last): File "F:\pythonproject\ARIMA-GRACH\3.py", line 15, in <module> data = data.asfreq('D') File "E:\anaconda\lib\site-packages\pandas\core\frame.py", line 10517, in asfreq return super().asfreq( File "E:\anaconda\lib\site-packages\pandas\core\generic.py", line 7697, in asfreq return asfreq( File "E:\anaconda\lib\site-packages\pandas\core\resample.py", line 2096, in asfreq new_obj = obj.reindex(dti, method=method, fill_value=fill_value) File "E:\anaconda\lib\site-packages\pandas\util\_decorators.py", line 324, in wrapper return func(*args, **kwargs) File "E:\anaconda\lib\site-packages\pandas\core\frame.py", line 4804, in reindex return super().reindex(**kwargs) File "E:\anaconda\lib\site-packages\pandas\core\generic.py", line 4966, in reindex return self._reindex_axes( File "E:\anaconda\lib\site-packages\pandas\core\frame.py", line 4623, in _reindex_axes frame = frame._reindex_index( File "E:\anaconda\lib\site-packages\pandas\core\frame.py", line 4642, in _reindex_index return self._reindex_with_indexers( File "E:\anaconda\lib\site-packages\pandas\core\generic.py", line 5032, in _reindex_with_indexers new_data = new_data.reindex_indexer( File "E:\anaconda\lib\site-packages\pandas\core\internals\managers.py", line 679, in reindex_indexer self.axes[axis]._validate_can_reindex(indexer) File "E:\anaconda\lib\site-packages\pandas\core\indexes\base.py", line 4107, in _validate_can_reindex raise ValueError("cannot reindex on an axis with duplicate labels")

这是一个 ValueError 异常，提示不能在一个有重复标签的轴上重新索引。这可能是因为你的数据框中有重复的日期标签。你可以使用 `duplicated()` 方法检查日期标签是否有重复值，并使用 `drop_duplicates()` 方法删除重复的日期标签。例如：

# 检查日期标签是否有重复值
print(data.index.duplicated())

# 删除重复的日期标签
data = data[~data.index.duplicated()]

Traceback (most recent call last): File "F:\pythonproject\随机森林\1.py", line 16, in <module> X = data.loc[:, 'DATE'] File "E:\anaconda\lib\site-packages\pandas\core\indexing.py", line 961, in __getitem__ return self._getitem_tuple(key) File "E:\anaconda\lib\site-packages\pandas\core\indexing.py", line 1140, in _getitem_tuple return self._getitem_lowerdim(tup) File "E:\anaconda\lib\site-packages\pandas\core\indexing.py", line 867, in _getitem_lowerdim section = self._getitem_axis(key, axis=i) File "E:\anaconda\lib\site-packages\pandas\core\indexing.py", line 1202, in _getitem_axis return self._get_label(key, axis=axis) File "E:\anaconda\lib\site-packages\pandas\core\indexing.py", line 1153, in _get_label return self.obj.xs(label, axis=axis) File "E:\anaconda\lib\site-packages\pandas\core\generic.py", line 3849, in xs return self[key] File "E:\anaconda\lib\site-packages\pandas\core\frame.py", line 3505, in __getitem__ indexer = self.columns.get_loc(key) File "E:\anaconda\lib\site-packages\pandas\core\indexes\base.py", line 3623, in get_loc raise KeyError(key) from err KeyError: 'DATE'

这个错误是由于你尝试在 DataFrame 中选择一个不存在的列名 'DATE'，导致 Pandas 找不到该列名并引发 KeyError。你需要检查 DataFrame 中是否存在名为 'DATE' 的列，或者确认你输入的列名是否正确。你可以使用 DataFrame 的列名列表属性来查看所有可用的列名。例如，使用 `print(df.columns.tolist())` 来打印 DataFrame 中所有的列名。如果你的 DataFrame 中确实没有名为 'DATE' 的列，则需要重新检查你的数据，确认你正在选择正确的列。