ModuleNotFoundError: No module named 'model.model'; 'model' is not a package
时间: 2023-10-13 07:09:30 浏览: 26
这个错误可能是由于你的代码中的导入语句有误导致的。请检查你的代码中是否有导入 'model.model' 的语句,如果有的话,请检查路径是否正确,是否存在该模块。如果路径正确,但是模块不存在,则需要安装该模块。你可以使用以下命令安装该模块:
```
pip install model
```
如果你已经安装了该模块,但是仍然出现该错误,请检查是否有其他的问题,比如该模块是否被正确地安装到了 Python 的库路径中。
相关问题
ModuleNotFoundError: No module named 'py.xml'; 'py' is not a package
As an AI language model, I don't have access to your system, but I can suggest some possible solutions to this error.
This error typically occurs when you're trying to import a module that doesn't exist or is not installed correctly on your system.
To resolve this error, you can try the following steps:
1. Check if the module is installed: You can check if the 'py' module is installed by running the following command in your terminal: `pip freeze | grep py`. If the module is not installed, you can install it using the following command: `pip install py`.
2. Check your import statement: Ensure that you're importing the correct module and that the import statement is correct. For example, if you're trying to import the 'py.xml' module, your import statement should be `from py import xml` or `import py.xml`.
3. Check for conflicting package names: There might be a conflict with the package names. You can try renaming the 'py' package or the conflicting package to resolve the issue.
4. Update your Python version: If you're using an older version of Python, try upgrading to the latest version as some packages might not be compatible with older versions.
Hopefully, one of these solutions will resolve the 'ModuleNotFoundError: No module named 'py.xml'; 'py' is not a package' error.
ModuleNotFoundError: No module named 'statsmodels.tsa.arima.model.ARIMA'; 'statsmodels.tsa.arima.model' is not a package
这个错误通常是由于`statsmodels`版本问题导致的。可能是你安装的`statsmodels`版本过低或过高。
首先,请确保你已经安装了`statsmodels`。可以使用以下命令进行安装:
```
pip install statsmodels
```
如果已经安装了`statsmodels`,则可以尝试升级到最新版本:
```
pip install --upgrade statsmodels
```
如果升级后仍然出现相同的错误,请尝试降级到一个较低版本,在终端输入以下命令:
```
pip install statsmodels==0.12.2
```
如果这些方法都不起作用,请检查你的代码是否正确导入`ARIMA`模型,并且是否正确引用了`statsmodels.tsa.arima.model.ARIMA`。