AttributeError: 'list' object has no attribute 'endswith'
时间: 2023-08-21 11:02:18 浏览: 50
抱歉,我在之前的回答中犯了一个错误`filenames` 是一个列表,而不是单个文件名。因此,你需要将 `for filename filenames:` 修改为 `for each_file in filenames:`。样,你就可以使用 `each_file('.csv')` 来检查每个文件名是否以 `.csv` 结尾。以下是修改后的代码:
```python
import pandas as pd
import os
for dirname, _, filenames in os.walk(File_dir): # 遍历信号文件夹中所有子文件夹
for each_file in filenames: # 遍历子文件夹中所有文件
if each_file.endswith('.csv'): # 只处理以 .csv 结尾的文件
file_path = os.path.join(dirname, each_file)
df = pd.read_csv(file_path) # 使用 Pandas 读取 CSV 文件
# 进行接下来的数据处理和操作
# ...
```
请注意检查修改后的代码是否正确,确保 CSV 文件的路径和格式正确。如果问题仍然存在,请提供更多信息,我将尽力帮助你解决。
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AttributeError: list object has no attribute squeeze
AttributeError: list object has no attribute squeeze是因为在列表对象上调用squeeze方法,而列表对象并没有squeeze方法。squeeze方法是numpy数组对象的方法,用于从数组的形状中删除单维度条目。如果想要使用squeeze方法,需要将列表对象转换为numpy数组对象。
以下是一个例子:
```python
import numpy as np
# 将列表转换为numpy数组
a = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
print(a)
# 使用squeeze方法删除单维度条目
b = np.squeeze(a)
print(b)
```
AttributeError: list object has no attribute iloc
`iloc` is an attribute of a Pandas DataFrame or Series object, not a list object.
If you are trying to access a specific element within a list, you can use indexing to retrieve the element at a specific position. For example, if you have a list `my_list` and you want to retrieve the element at index 0, you can use `my_list[0]`.
If you are trying to use `iloc` on a DataFrame or Series object but are receiving this error, it may be because you are trying to apply it to a list object instead. Make sure you have properly converted your data to a Pandas DataFrame or Series before trying to use the `iloc` attribute.