本文介绍了基本的python IO,请理解文件目录的使用方法。的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
这有效:
fpath = 'D:\\OSGM\\Data\\'
fname_in = 'OGSM_filtJul13.csv'
full_name_in = fpath + fname_in
dataframe = pd.read_csv(full_name_in)
但这不是:
Dat = pd.read_csv('D:\\OGSM\\Data\\OGSM_filtJul13.csv')
并返回:
FileNotFoundError:文件b'D:\ tOSM \ data \OGSM_filtJul13.csv'不存在
And returns:FileNotFoundError: File b'D:\OGSM\Data\OGSM_filtJul13.csv' does not exist
显然这些是我对IO缺少的文件/目录语法。
Clearly these is something I am missing about IO file/directory syntax.
有什么建议吗?
P
Any advice?P
推荐答案
所以问题似乎是你的字符串被强制转换为bytestring。我重新创建了你的问题:
So the problem seems that your string is coerced to bytestring. I recreated your problem:
首先,使用bytestring
First, with a bytestring
> pd.read_csv(b'test.csv')
Traceback (most recent call last):
File "python", line 1, in <module>
File "pandas/_libs/parsers.pyx", line 384, in pandas._libs.parsers.TextReader.__cinit__
File "pandas/_libs/parsers.pyx", line 713, in pandas._libs.parsers.TextReader._setup_parser_source
OSError: Expected file path name or file-like object, got <class 'bytes'> type
鉴于:
> pd.read_csv('test.csv')
output:
=> Empty DataFrame
Columns: [foo;bar]
Index: []
> pd.read_csv(u'test.csv')
=> Empty DataFrame
Columns: [foo;bar]
Index: []
为了避免这种问题,特别是在windows 中,
尝试使用正确的os.path方法来连接路径:
To avoid this kind of problems, especially in windows,Try using proper os.path methods to join paths :
import os
fpath = os.path.join("D:", os.sep, "OSGM", "Data")
fname_in = 'OGSM_filtJul13.csv'
full_name_in = os.path.join(fpath,fname_in)
dataframe = pd.read_csv(full_name_in)
注意:在python2中,问题似乎不会发生。
N.B: In python2, the problem doesn't seem to occur.
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