Traceback (most recent call last): File "D:\anaconda\lib\site-packages\IPython\core\interactiveshell.py", line 3460, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "<ipython-input-2-1430dfa068df>", line 1, in <module> runfile('D:\\Users\\Admin\\PycharmProjects\\pythonProject2\\线性分析预测.py', wdir='D:\\Users\\Admin\\PycharmProjects\\pythonProject2') File "D:\PyCharm 2023.1.1\plugins\python\helpers\pydev\_pydev_bundle\pydev_umd.py", line 198, in runfile pydev_imports.execfile(filename, global_vars, local_vars) # execute the script File "D:\PyCharm 2023.1.1\plugins\python\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile exec(compile(contents+"\n", file, 'exec'), glob, loc) File "D:\Users\Admin\PycharmProjects\pythonProject2\线性分析预测.py", line 9, in <module> y = data.iloc[:, 4].values File "D:\anaconda\lib\site-packages\pandas\core\indexing.py", line 1067, in __getitem__ return self._getitem_tuple(key) File "D:\anaconda\lib\site-packages\pandas\core\indexing.py", line 1563, in _getitem_tuple tup = self._validate_tuple_indexer(tup) File "D:\anaconda\lib\site-packages\pandas\core\indexing.py", line 873, in _validate_tuple_indexer self._validate_key(k, i) File "D:\anaconda\lib\site-packages\pandas\core\indexing.py", line 1466, in _validate_key self._validate_integer(key, axis) File "D:\anaconda\lib\site-packages\pandas\core\indexing.py", line 1557, in _validate_integer raise IndexError("single positional indexer is out-of-bounds") IndexError: single positional indexer is out-of-bounds

这个错误通常是由于 Pandas DataFrame 中的列数不足所需的列数导致的。在这段代码中，尝试对每个列执行线性回归分析，并将每个列的前四列数据作为输入，将第五列作为输出。但是，如果 DataFrame 中的列数小于 5，则会出现“single positional indexer is out-of-bounds”错误。

要解决这个问题，你需要检查一下你的 Excel 文件的实际列数。你可以使用以下代码来打印 DataFrame 的列数：

print(len(df.columns))

如果实际列数小于 5，则需要更改代码以使用实际的列数。例如，如果 DataFrame 只有 4 列，则可以将以下行：

X = data.iloc[:, 0:4].values
y = data.iloc[:, 4].values

更改为：

X = data.iloc[:, 0:3].values
y = data.iloc[:, 3].values

这将使用前三列作为输入，将第四列作为输出。如果 DataFrame 的列数小于 4，则需要再次更改代码以使用实际的列数。