sys:1: FutureWarning: In a future version of pandas all arguments of read_csv except for the argument 'filepath_or_buffer' will be keyword-only Traceback (most recent call last): File "C:/Users/Administrator/Desktop/test/11.py", line 22, in <module> posi = pd.read_csv("C:\\Users\\Administrator\\Desktop\\工作簿1.csv",'r') File "C:\Python37\lib\site-packages\pandas\util\_decorators.py", line 311, in wrapper return func(*args, **kwargs) File "C:\Python37\lib\site-packages\pandas\io\parsers\readers.py", line 586, in read_csv return _read(filepath_or_buffer, kwds) File "C:\Python37\lib\site-packages\pandas\io\parsers\readers.py", line 482, in _read parser = TextFileReader(filepath_or_buffer, **kwds) File "C:\Python37\lib\site-packages\pandas\io\parsers\readers.py", line 811, in __init__ self._engine = self._make_engine(self.engine) File "C:\Python37\lib\site-packages\pandas\io\parsers\readers.py", line 1040, in _make_engine return mapping[engine](self.f, **self.options) # type: ignore[call-arg] File "C:\Python37\lib\site-packages\pandas\io\parsers\c_parser_wrapper.py", line 69, in __init__ self._reader = parsers.TextReader(self.handles.handle, **kwds) File "pandas\_libs\parsers.pyx", line 542, in pandas._libs.parsers.TextReader.__cinit__ File "pandas\_libs\parsers.pyx", line 642, in pandas._libs.parsers.TextReader._get_header File "pandas\_libs\parsers.pyx", line 843, in pandas._libs.parsers.TextReader._tokenize_rows File "pandas\_libs\parsers.pyx", line 1917, in pandas._libs.parsers.raise_parser_error UnicodeDecodeError: 'utf-8' codec can't decode byte 0xd0 in position 0: invalid continuation byte是什么意思
时间: 2023-07-21 08:41:25 浏览: 299
解决pandas使用read_csv()读取文件遇到的问题
这个错误意味着Pandas无法解码CSV文件中的某些字符,这通常是因为文件中包含了非UTF-8编码的字符。在您的代码中,您尝试使用read_csv函数读取CSV文件,并且使用'r'作为文件模式。但是,read_csv函数默认使用UTF-8编码,如果文件中包含了其他编码的字符,则可能会发生解码错误。
为了解决这个问题,您可以尝试以下几种方法:
1. 指定CSV文件的编码格式。例如,如果文件编码为GB2312,您可以这样读取文件:
```
posi = pd.read_csv("C:\\Users\\Administrator\\Desktop\\工作簿1.csv", encoding='GB2312')
```
2. 尝试使用不同的文件模式。例如,使用'rb'代替'r'模式,这将以二进制模式打开文件,而不是文本模式:
```
posi = pd.read_csv("C:\\Users\\Administrator\\Desktop\\工作簿1.csv", 'rb')
```
这些方法应该可以解决您遇到的问题。
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