Traceback (most recent call last): File "C:\Users\likun\pythonzz\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: 'names' The above exception was the direct cause of the following exception: Traceback (most recent call last): File "D:\pythonzz\2.py", line 4, in <module> names=pd.read_excel('D:\pythonzz\y\\post.xlsx')['names']# 读取所有照片名字 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^ File "C:\Users\likun\pythonzz\Lib\site-packages\pandas\core\frame.py", line 3761, in __getitem__ indexer = self.columns.get_loc(key) ^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\likun\pythonzz\Lib\site-packages\pandas\core\indexes\base.py", line 3654, in get_loc raise KeyError(key) from err KeyError: 'names' Process finished with exit code 1

这是一个 KeyError 异常，提示 'names' 这个键不存在于读取的 Excel 文件的列中。请检查 Excel 文件的列名是否正确或者是否存在。可能需要使用 `pd.read_excel('D:\pythonzz\y\\post.xlsx', usecols=['names'])` 明确指定使用的列。

相关问题

Traceback (most recent call last): File "E:\anaconda\lib\site-packages\pandas\core\indexes\range.py", line 385, in get_loc return self._range.index(new_key) ValueError: 0 is not in range The above exception was the direct cause of the following exception: Traceback (most recent call last): File "F:\pythonproject\ARIMA-GRACH\6.py", line 34, in <module> arima_pred = arima_result.forecast()[0][0] File "E:\anaconda\lib\site-packages\pandas\core\series.py", line 958, in __getitem__ return self._get_value(key) File "E:\anaconda\lib\site-packages\pandas\core\series.py", line 1069, in _get_value loc = self.index.get_loc(label) File "E:\anaconda\lib\site-packages\pandas\core\indexes\range.py", line 387, in get_loc raise KeyError(key) from err KeyError: 0

这个错误是由于 `test_ts` 的索引从0开始，而 `pd.Series([test_ts[i]], index=[test_ts.index[i]-1])` 中的 `index` 参数是从-1开始的，导致索引对不上。你可以将 `index` 参数修改为从0开始的，如下所示：

arima_result = arima_result.append(pd.Series([test_ts[i]], index=[test_ts.index[i]]))
garch_result = garch_result.append(pd.Series([arima_result.resid[-1]], index=[test_ts.index[i]]))

另外，如果你想要使用 ARIMA-GARCH 模型对时间序列进行预测，你还需要实现 GARCH 模型部分的代码。具体实现方式可以参考下面的代码：

from arch import arch_model

# 训练 GARCH 模型
garch_model = arch_model(train_ts, p=1, q=1)
garch_result = garch_model.fit(update_freq=5).forecast(horizon=len(test_ts), reindex=False)

arima_model = ARIMA(train_ts, order=(1, 1, 1))
arima_result = arima_model.fit()
pred_ts = []
for i in range(len(test_ts)):
    # 预测ARIMA模型的下一个值
    arima_pred = arima_result.forecast()[0][0]
    # 使用GARCH模型计算方差
    var = garch_result.forecast(horizon=1).variance.iloc[-1, 0]
    # 计算标准差
    std = np.sqrt(var)
    # 计算置信区间
    conf_int = (arima_pred - 1.96 * std, arima_pred + 1.96 * std)
    # 将预测结果添加到列表中
    pred_ts.append(arima_pred)
    # 将预测结果添加到模型中
    arima_result = arima_result.append(pd.Series([test_ts[i]], index=[test_ts.index[i]]))
    garch_result = garch_result.append(pd.Series([arima_result.resid[-1]], index=[test_ts.index[i]]))

traceback (most recent call last): file "d:\anaconda\lib\site-packages\conda

引用:已解决"Traceback (most recent call last): File “E:\Anaconda3\lib\site-packages\pip_vendor\urllib3\response.py”, line 360, in _error_catcher yield" 这是一个错误的追踪信息，通常出现在代码中发生了异常或错误时。它会显示出错的具体位置和引发异常的原因。
引用:网上给出了一些解决方法，比如关闭后台jupyter notebook，并根据提示使用命令"python -m pip install --upgrade pip"来升级pip工具。这个操作可以帮助更新pip并解决一些常见的问题。
引用:另外，还可以考虑更换镜像源来解决问题。可以使用命令"pip install tensorflow -i https://pypi.douban.com/simple"来安装TensorFlow，并指定使用豆瓣镜像源进行安装，这样可能可以避免一些下载或安装的问题。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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