'波束场景No': bs_data['覆盖场景No'][0]报错：Traceback (most recent call last): File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 106, in <module> data = optimizing() File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 18, in __init__ self.optimizing_main() File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 100, in optimizing_main self.child1=self.mutation(fitness_data,gene_len) File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 70, in mutation '波束场景No': bs_data['覆盖场景No'][0], File "C:\Users\z84259074\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\series.py", line 1007, in __getitem__ return self._get_value(key) File "C:\Users\z84259074\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\series.py", line 1116, in _get_value loc = self.index.get_loc(label) File "C:\Users\z84259074\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\range.py", line 349, in get_loc raise KeyError(key) KeyError: '覆盖场景No' 覆盖场景No 覆盖场

根据错误信息，看起来在`bs_data`数据框中没有名为'覆盖场景No'的列。请确保列名的拼写和大小写与数据框中的实际列名完全匹配。

如果你想要查看`bs_data`数据框的列名，可以使用`columns`属性：

print(bs_data.columns)

另外，还要确保索引为0的行存在。如果你的数据框中没有任何行，或者索引为0的行不存在，那么`bs_data['覆盖场景No'][0]`会引发`KeyError`错误。你可以通过检查数据框的形状来确认是否存在至少一行：

print(bs_data.shape[0] > 0)

确保数据框不为空，并且列名正确拼写和大小写匹配后，再次尝试访问`bs_data['覆盖场景No'][0]`应该就不会报错了。

相关问题

bs_data = w_data[w_data['波束场景No'] == cross_data['波束场景No'][0]] 报错：Traceback (most recent call last): File "C:\Users\z84259074\AppData\Local\Programs\Python\Python310\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: '波束场景No' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 127, in <module> data = optimizing() File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 18, in __init__ self.optimizing_main() File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 120, in optimizing_main self.child2=self.mutation_cdata(fitness_data,self.cross_data) File "D:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 86, in mutation_cdata bs_data = w_data[w_data['波束场景No'] == cross_data['波束场景No'][0]] File "C:\Users\z84259074\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\frame.py", line 3761, in __getitem__ indexer = self.columns.get_loc(key) File "C:\Users\z84259074\AppData\Local\Programs\Python\Python310\lib\site-packages\pandas\core\indexes\base.py", line 3654, in get_loc raise KeyError(key) from err KeyError: '波束场景No'

根据错误信息，看起来在使用`w_data[w_data['波束场景No'] == cross_data['波束场景No'][0]]`时出现了`KeyError: '波束场景No'`错误。这个错误通常表示在`w_data` DataFrame中不存在名为'波束场景No'的列。

要决这个问题，你可以先检查一下`w_data` DataFrame的列是否与你使用的列名完全配。请确保列名的拼写和大小写与数据框中的实际列名一致。

你可以使用`columns`属性来查看`w_data` DataFrame的列名：

print(w_data.columns)

确保列名正确拼写和大小写匹配后，再次尝试运行`w_data[w_data['波束场景No'] == cross_data['波束场景No'][0]]`应该就不会报错了。

Traceback (most recent call last): File "d:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 128, in <module> data = optimizing() File "d:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 15, in __init__ self.optimizing_main() File "d:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 124, in optimizing_main self.child2=self.mutation_cdata(fitness_data,self.cross_data) File "d:\Users\z84259074\PycharmProjects\参数自优化\self_optimizing.py", line 92, in mutation_cdata print('cross_data[波束场景No]',bs_data[8]) IndexError: index 8 is out of bounds for axis 0 with size 1

根据错误信息，看起来你正在尝试从一个长度为1的DataFrame中获取索引8的数据，但是该索引超出了DataFrame的范围，导致出现了IndexError异常。

请确保你的DataFrame确实包含索引为8的数据。你可以使用`df.shape`来查看DataFrame的形状，以确保DataFrame的大小与你的预期相符。

如果你确信DataFrame应该包含索引为8的数据，那么可能是数据加载或处理过程中出现了问题。请检查一下代码中与数据处理相关的部分，确保正确加载和处理了数据。