D:\python\python.exe D:\tokamaka\实验集\Python\SVM低数据兼测试版本\DisruptionPredictor\Test3.py Traceback (most recent call last): File "D:\tokamaka\实验集\Python\SVM低数据兼测试版本\DisruptionPredictor\Test3.py", line 50, in <module> train_data, train_labels = Parallel(n_jobs=-1)(delayed(load_data_parallel)('train', list(eval(shot)), directory) for shot in shots['train']) File "D:\python\lib\site-packages\joblib\parallel.py", line 1008, in __call__ n_jobs = self._initialize_backend() File "D:\python\lib\site-packages\joblib\parallel.py", line 775, in _initialize_backend n_jobs = self._backend.configure(n_jobs=self.n_jobs, parallel=self, File "D:\python\lib\site-packages\joblib\_parallel_backends.py", line 506, in configure self._workers = get_memmapping_executor( File "D:\python\lib\site-packages\joblib\executor.py", line 20, in get_memmapping_executor return MemmappingExecutor.get_memmapping_executor(n_jobs, **kwargs) File "D:\python\lib\site-packages\joblib\executor.py", line 42, in get_memmapping_executor manager = TemporaryResourcesManager(temp_folder) File "D:\python\lib\site-packages\joblib\_memmapping_reducer.py", line 535, in __init__ self.set_current_context(context_id) File "D:\python\lib\site-packages\joblib\_memmapping_reducer.py", line 539, in set_current_context self.register_new_context(context_id) File "D:\python\lib\site-packages\joblib\_memmapping_reducer.py", line 564, in register_new_context self.register_folder_finalizer(new_folder_path, context_id) File "D:\python\lib\site-packages\joblib\_memmapping_reducer.py", line 594, in register_folder_finalizer resource_tracker.register(pool_subfolder, "folder") File "D:\python\lib\site-packages\joblib\externals\loky\backend\resource_tracker.py", line 179, in register self._send('REGISTER', name, rtype) File "D:\python\lib\site-packages\joblib\externals\loky\backend\resource_tracker.py", line 196, in _send msg = f'{cmd}:{name}:{rtype}\n'.encode('ascii') UnicodeEncodeError: 'ascii' codec can't encode characters in position 18-20: ordinal not in range(128) 进程已结束,退出代码1
时间: 2023-07-21 11:40:51 浏览: 83
这是一个Python程序运行时发生的错误,具体错误信息为UnicodeEncodeError,错误原因是程序试图将一个非ASCII字符编码为ASCII字符,但是该字符不在ASCII编码范围内,导致编码错误。解决这个问题的方法是将程序中涉及到的非ASCII字符转为Unicode编码或者使用适当的编码方式,例如utf-8编码。可以通过在程序开头添加以下代码来指定编码方式:
```python
# -*- coding: utf-8 -*-
```
另外,可能还需要检查一下程序中的文件路径是否正确,以及相关的Python包是否已经正确安装。
相关问题
D:\python\python.exe D:\tokamaka\实验集\Python\SVM低数据兼测试版本\DisruptionPredictor\Test3.py Traceback (most recent call last): File "D:\tokamaka\实验集\Python\SVM低数据兼测试版本\DisruptionPredictor\Test3.py", line 62, in <module> for j in range(train_data[i].shape[1]): AttributeError: 'list' object has no attribute 'shape'
根据你给出的信息,这个错误的原因是在第 62 行,`train_data[i]` 是一个列表,而不是一个 numpy 数组,因此没有 `shape` 属性。你需要检查一下 `train_data` 列表中的元素是否都是 numpy 数组,如果有不是的,需要将其转换为 numpy 数组。你可以使用 `np.array()` 函数将列表转换为 numpy 数组。
Traceback (most recent call last): File "D:\tokamaka\实验集\Python\SVM低数据兼测试版本\Test.py", line 3, in <module> read = Reader('D:\tokamaka\实验集\Python\SVM低数据兼测试版本\DataPreProcess\DataSet_normalize\train') File "D:\tokamaka\实验集\Python\SVM低数据兼测试版本\DataPreProcess\Data.py", line 49, in __init__ raise ValueError('Path {} does n\'t exist.') ValueError: Path {} does n't exist.
这个错误提示意味着你在创建 `Reader` 对象时提供的路径 `D:\tokamaka\实验集\Python\SVM低数据兼测试版本\DataPreProcess\DataSet_normalize\train` 不存在。你需要检查一下该路径是否正确,以及该路径下是否存在需要读取的文件。如果路径不正确,你需要提供正确的路径;如果路径正确但是文件不存在,你需要创建该文件或者提供正确的文件路径。另外,你在抛出 `ValueError` 异常时使用了一个格式化字符串,但是没有提供格式化参数。你需要在字符串中使用 `{}` 占位符,并在抛出异常时提供一个格式化参数,例如:
```python
raise ValueError('Path {} does not exist.'.format(path))
```
其中 `path` 是你提供的路径。