D:\Users\lenovo\anaconda3\python.exe D:/pythonProject1/main.py Traceback (most recent call last): File "D:\pythonProject1\main.py", line 40, in <module> wave = pd.read_csv(record, header=None) File "D:\Users\lenovo\anaconda3\lib\site-packages\pandas\util\_decorators.py", line 211, in wrapper return func(*args, **kwargs) File "D:\Users\lenovo\anaconda3\lib\site-packages\pandas\util\_decorators.py", line 331, in wrapper return func(*args, **kwargs) File "D:\Users\lenovo\anaconda3\lib\site-packages\pandas\io\parsers\readers.py", line 950, in read_csv return _read(filepath_or_buffer, kwds) File "D:\Users\lenovo\anaconda3\lib\site-packages\pandas\io\parsers\readers.py", line 605, in _read parser = TextFileReader(filepath_or_buffer, **kwds) File "D:\Users\lenovo\anaconda3\lib\site-packages\pandas\io\parsers\readers.py", line 1442, in __init__ self._engine = self._make_engine(f, self.engine) File "D:\Users\lenovo\anaconda3\lib\site-packages\pandas\io\parsers\readers.py", line 1735, in _make_engine self.handles = get_handle( File "D:\Users\lenovo\anaconda3\lib\site-packages\pandas\io\common.py", line 704, in get_handle if _is_binary_mode(path_or_buf, mode) and "b" not in mode: File "D:\Users\lenovo\anaconda3\lib\site-packages\pandas\io\common.py", line 1163, in _is_binary_mode return isinstance(handle, _get_binary_io_classes()) or "b" in getattr( TypeError: argument of type 'method' is not iterable
时间: 2023-06-30 14:12:17 浏览: 55
这个错误是因为你在`pd.read_csv()`函数中使用了错误的参数。具体来说,你把迭代变量`record`传递给了`pd.read_csv()`函数。然而,`record`是一个`DataFrame`类型,而不是文件路径,因此会抛出一个类型错误。
你需要将`csv_files`列表作为参数传递给`pd.read_csv()`函数,而不是迭代变量`record`。下面是修改后的代码:
```python
import pandas as pd
import os
csv_folder_path = r'D:\pythonProject\csv\N'
csv_files = [os.path.join(csv_folder_path, f) for f in os.listdir(csv_folder_path) if f.endswith('.csv')]
dfs = []
for csv_file in csv_files:
df = pd.read_csv(csv_file, header=None)
dfs.append(df)
last_file_content = pd.read_csv(csv_files[-1], header=None)
wave = []
form = []
records = dfs
for record in records:
wave = record
form = last_file_content
```
请注意,这只是将`pd.read_csv()`函数的参数更改为正确的变量名称。你仍然需要根据你的需求进一步修改代码。