我在Mac上使用Pandas读取和写入CSV文件，但是奇怪的是，当使用完整路径时，它有错误，而仅使用文件名时，它就可以工作。我在下面的评论中张贴了可以正常工作的代码以及不正常工作的代码，以及详细的错误消息。有人有什么好主意吗？
sourceDf = pd.read_csv(path_to_csv)
sourceDf['nameFull'] = sourceDf['nameFirst'] + ' ' + sourceDf['nameLast']
sourceDf.to_csv('newMaster.csv') # working
sourceDf.to_csv('~/Downloads/newMaster.csv') # not working
Traceback (most recent call last):
File "/Users/foo/PycharmProjects/DataWranglingTest/CSVTest1.py", line 36, in <module>
add_full_name(path_to_csv, path_to_new_csv)
File "/Users/foo/PycharmProjects/DataWranglingTest/CSVTest1.py", line 28, in add_full_name
sourceDf.to_csv('~/Downloads/newMaster.csv')
File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/frame.py", line 1189, in to_csv
formatter.save()
File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/format.py", line 1442, in save
encoding=self.encoding)
File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/common.py", line 2831, in _get_handle
f = open(path, mode)
IOError: [Errno 2] No such file or directory: '~/Downloads/newMaster.csv'
Tried to use prefix r, but not working,
path_to_csv = r'~/Downloads/Master.csv'
path_to_new_csv = r'~/Downloads/Master_new.csv'
File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/frame.py", line 1189, in to_csv
formatter.save()
File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/format.py", line 1442, in save
encoding=self.encoding)
File "/usr/local/Cellar/python/2.7.8/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/pandas/core/common.py", line 2831, in _get_handle
f = open(path, mode)
IOError: [Errno 2] No such file or directory: '~/Downloads/Master_new.csv'
预先感谢林
尝试使用os.path.join()。
import os
(...)
output_filename = 'newMaster.csv'
output_path = os.path.join('Downloads', output_filename)
(...)
sourceDf.to_csv(output_path)
使用相同的方法指向pandas.read_csv()正确的方向。
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我来说两句