读取csv文件内数据推荐文章：https://www.cnblogs.com/cloud-ken/p/8432999.html
但本人在使用中出现了error如下：
>>> filename = 'G:\\m模式识别\\分类器实现\\2白酒\\winequality-red.csv'
>>> csv_data = pd.read_csv(filename)
Traceback (most recent call last):
File "<pyshell#25>", line 1, in <module>
csv_data = pd.read_csv(filename)
File "D:\python3.7.1\lib\site-packages\pandas\io\parsers.py", line 678, in parser_f
return _read(filepath_or_buffer, kwds)
File "D:\python3.7.1\lib\site-packages\pandas\io\parsers.py", line 440, in _read
parser = TextFileReader(filepath_or_buffer, **kwds)
File "D:\python3.7.1\lib\site-packages\pandas\io\parsers.py", line 787, in __init__
self._make_engine(self.engine)
File "D:\python3.7.1\lib\site-packages\pandas\io\parsers.py", line 1014, in _make_engine
self._engine = CParserWrapper(self.f, **self.options)
File "D:\python3.7.1\lib\site-packages\pandas\io\parsers.py", line 1708, in __init__
self._reader = parsers.TextReader(src, **kwds)
File "pandas\_libs\parsers.pyx", line 384, in pandas._libs.parsers.TextReader.__cinit__
File "pandas\_libs\parsers.pyx", line 697, in pandas._libs.parsers.TextReader._setup_parser_source
OSError: Initializing from file failed
经过不断尝试修改，发现文件路径中如果不包含中文字符就可以了，如下：
>>> filename = 'G:\\winequality-red.csv'
>>> csv_data = pd.read_csv(filename)
>>> print(csv_data.shape)
(1599, 2)
建议：需要操作的文件最好放在系统工程目录下，使用相对路径调用，具体例子可以参考下面那篇文章。或者使用不带中文的文件路径，避免不必要的报错。
关于pandas模块具体使用参考文章：https://blog.csdn.net/O4dC8OjO7ZL6/article/details/81117442
csv操作的更多内容日后会学习更新。